DS12V2 support the emulation simulation of hardware design for FPGA. The Intel FPGAs that we are using in Azure help create a configurable cloud that can scale with the demands of these workloads. Project Catapult a field programmable gate array FPGA project established in 2011 by Microsoft . Microsoft has also managed to reduce the complexity of managing and programming these FPGAs according to Burger. Job email alerts. In this paper we discuss our solution which we implemented on a Xilinx XUP development board with 256 MB of DRAM. Simon Sharwood Wed 12 Jul 2017 05 56 UTC. May 08 2018 The Project Brainwave technology employs a deep neural network processing engine that is loaded onto the FPGA which is used to provide the basis for machine learning service. It is now available for preview on Azure. portal. This allows us to reduce data outflow while at the same time focusing on the important results that come from processing our data on the edge. We see a trend in the data center space AI and big data analytics coming close together to power the next generation of enterprise applications. But a piece of hardware was the Azure enhancement discussed by. FMC for Azure may reside on premise or in Azure. Furthermore lidless packaging provides superior thermal dissipation for easier cooling design and lower power costs. The hardware supports FPGA and GPU for hardware accelerated. Amazon EC2 F1 instances use FPGAs to enable delivery of custom hardware accelerations. One FPGA card is assigned to every new Azure server and is connected to its NIC network interface card PCIe bus. GPU Computing has become a dominant force in the adaptation from simple linear to parallel computing but it is not the only option for new advancements. Azure Cognitive Services Add smart API capabilities to enable contextual interactions Azure Bot Services Intelligent serverless bot services that scale on demand Machine Learning Build train and deploy models from the cloud to the edge Azure Databricks Fast easy and collaborative Apache Spark based analytics platform Using this FPGA enabled hardware architecture trained neural networks run quickly and with lower latency. com en us azure databox online data box edge overview which include an FPGA the goal of this solution was to have a lower costing or even virtualized IoT Edge devices that does not include an FPGA. FPGA can also accelerate many workloads faster than processors Microsoft Azure uses one FPGA accelerator for every 2 Xeons. Right now AML supports a variety of choices to deploy models for inferencing GPUs FPGA IoT Edge custom Docker images. . Microsoft is already putting Intel FPGA versatility to use for accelerating AI. Feb 03 2021 This new generation of algorithms apply quantum principles for increased speed and accuracy running at scale on a range of silicon including CPU GPU and FPGA. Sep 29 2020 With up to 80 transceivers the VU19P FPGA enables higher port density test equipment that supports the latest interface standards when they first become available. Welcome to The Cloud FPGA Community. Feb 03 2020 If Azure has bet that deploying deep neural networks in SmartNICs is the right long term direction then Silicom and a few other FPGA based NIC vendors stand to benefit. Unified security platform. Which has 9k CLBs configurable logic blocks . Microsoft ships you a cloud managed device with a built in Field Programmable Gate Array FPGA that enables accelerated AI inferencing and has all the capabilities of a network storage gateway. Jun 18 2020 Intel today introduced its first AI optimized FPGA the Stratix 10 NX which features expanded AI Tensor blocks 30 multipliers and 30 accumulators integrated HBM memory and high bandwidth networking. The foremost example is Amazon s AWS EC2 F1 instance but there are others. FPGAs Microsoft Brainwave and AI Acceleration. Looking for a query round decimal place only when number before decimal is 0. The servers are the result of a collaboration that began in March 2017 between. May 09 2018 at 1 26PM by Ted Way Doug Berger. The Intel FPGA SDK for OpenCL allows the easy implementation of applications onto FPGAs by abstracting away the complexities of FPGA design allowing software programmers to write hardware accelerated kernel functions in OpenCL C an ANSI C based language with additional OpenCL constructs. Purpose. Jan 24 2019 Azure portal preview features. IoTEdge SoC_FPGA. Jul 28 2017 Microsoft 39 s Azure Accelerated Networking service which is generally available for Windows and in preview for Linux also makes use of FPGAs under the covers. One FPGA card is assigned to every new Azure server and is connected to its NIC network interface card PCIe bus and the top of rack network switch. IPU enables new AI innovations As well as delivering state of the art performance for today s complex AI models like BERT the IPU also excels at accelerating new techniques. Ted Maharshi and Aishani conclude with a demo of running an image classification model through a Jupyter notebook and deploying it to run on an FPGA running in the Azure cloud or on an Azure IoT Edge device. Jan 31 2020 Every node in Microsoft s Azure cloud has an FPGA. F1 instances are easy to program and come with everything you need to develop simulate debug and compile your hardware acceleration code including an FPGA Developer AMI and supporting hardware level development on the cloud. Oct 18 2016 Microsoft 39 s Azure cloud is being upgraded to accelerate both overall datacenter performance and specific computing workloads. Nov 06 2018 Until now Azure has been solidly in the Intel PSG Altera camp for FPGA based acceleration. We de ne the goals of AccelNet including programmability comparable to software and performance and ef ciency comparable to hardware. It 39 s a. Microsoft Azure provides various types of Virtual Machine VM and have classified them based The first MEMOCODE hardware software co design contest posed the following problem optimize matrix matrix multiplication in such a way that it is split between the FPGA and PowerPC on a Xilinx Virtex IIPro30. Project Brainwave was introduced as a preview at the Build 2019 developer conference of Microsoft.
The FPGA configuration is generally specified using a hardware description language similar to that used for an application specific integrated circuit. rbf with IoT Edge Read more about it at Intel DevMesh Jan 02 2020 Microsoft is also working on integrating FPGA based technology inside Azure. Copy. Cisco SecureX is a cloud native built in platform experience within our portfolio that is integrated and open for simplicity unified in one location for visibility and maximizes operational efficiency. Instead of creating node pools with specialized hardware accelerators for the wide ranging workloads that are deployed in Azure the Microsoft team went with the flexibility of FPGAs which can. This article shows how to deploy an Azure Machine Learning service AML generated model to an Azure Function. Azure ML has several CPU and GPU curated environments for TensorFlow corresponding to different versions of TensorFlow. conf file of Thingworx Azure IOT Connector by following the directions given in the conf file. com May 24 2019 Following the Azure webpage I created an account on Azure and created a VM instance of type DS12V2 . Powered by Alveo accelerator cards Xilinx delivers breakthrough live video streaming performance at the lowest cost per channel for significant TCO savings over fixed architecture approaches without altering existing infrastructure. The Graphcore offering extends Azure s capabilities and our efforts here form part of our strategy to ensure that Azure remains the best cloud for AI. These logic blocks are connected through a configurable interconnection and input output blocks to execute a specific application. Aug 22 2017 Intel Stratix 10 FPGA is the industry s first 14nm FPGA and combines the benefits of Intel s 14nm tri gate process technology with a revolutionary new architecture called HyperFlex to uniquely meet the performance demands of high end compute and data intensive applications. Azure Service Fabric hits GA on Windows Server and enters beta on Linux Go to a cocktail party full of techies and sooner or later someone 39 s going to mention microservice architecture. The company s stated goal is offloading host networking to hardware.
1 55 2 10 Trends in Open Source for FPGA Development. Sep 24 2018 This article describes one example of this in which an Intel Stratix 10 FPGA outperformed a GPU in testing. Azure IoT Edge Module for controlling an Intel Cyclone V SoC FPGA. We describe Microsoft s cloud FPGA architecture show how these applications are using it show live demos of the performance that FPGAs provide and discuss possible uses. Project Brainwave makes use of field programmable gate arrays FPGA instead of custom chips for particular tasks. Google is now on the third generation of its artificial intelligence chip. H. Variant Market Research estimates that FPGA sales will exceed 12 billion by 2024 as compared to 6. Windows Server on ARM is for Azure only What makes the work of porting code to the ARM instruction set worthwhile is both the scale of cloud and the kind of services Microsoft runs in Azure. FPGA chips aim to combine the performance advantage of hardware with the flexibility of software. Step 1 Create an Azure ML workspace. FPGAs allow you to craft unique scalable and optimized solutions for the server market. May 10 2018 Azure s architecture developed with Intel FPGA and Intel Xeon processors enable innovation with accelerated AI on the user s terms for custom software and hardware configuration. With Chris Kachris. Share. These new heterogeneous devices for computing include multi core. From left Eric Chung a senior researcher in Microsoft 39 s Silicon Systems Group Steve Reinhardt a partner hardware engineering manager with Bing and Ted Way a senior program manager in Azure Machine Learning worked on the development of. Azure is using this technology for accelerated networking and for a virtual machine that can drive 25 gigabits per second throughput at a 10X reduction in latency the company claimed. Get USD200 credit for 30 days and 12 months of free services. Oct 13 2016 Azure Service Fabric hits GA on Windows Server and enters beta on Linux. But Azure itself has said that it would move to a custom SoC architecture when deep neural network algorithm evolution slows enough to get a multi year return on investment for. With this end to end security companies will be able to move from smaller IoT developments to large scale developments. Jan 16 2020 50 Public Intel FPGA Machine Learning Success Microsoft Microsoft has revealed that Altera FPGAs have been installed across every Azure cloud server creating what the company is calling the world s first AI supercomputer. Using these exciting new Azure technologies like Machine Learning and FPGA it is now possible to create applications that can rapidly predict image contents in under a second and then use that prediction to make in this case life saving decisions. May 02 2019 For FPGA 39 s Azure Project Brainwave provides custom hardware accelerator designed using Intel field programmable gate arrays FPGAs specifically for the purpose of speeding up AI running in the Azure cloud. Microsoft 39 s Azure cloud is being upgraded to accelerate both overall datacenter performance and specific computing workloads. Seeing that FPGA CPU architectures are becoming more common a team of researchers from the Worcester Polytechnic. http bit. Hear from Azure 39 s CTO Mark Russinovich. Simon Sharwood Thu 18 Jun 2015 01 58 UTC. Mar 28 2019 Azure Machine Learning utilizing an Intel Arria 10 FPGA Use the on board Field Programmable Gate Array FPGA to accelerate inferencing of your data then transfer it to the cloud to re train. Jun 11 2018 Microsoft has previously deployed customizable chips in its servers for Azure but customers can 39 t directly tinker with them. FPGAs on Azure are based on Intel 39 s FPGA devices which data scientists and developers use to accelerate real time AI calculations. See full list on docs. An Azure Stack Edge Resource This is created in the Azure portal and allows businesses to manage the Azure Stack Edge appliance from a web interface. If you want to use a curated environment you can run the following command instead One of the benefits of Azure s FPGA design is that a model can run across multiple FPGAs without increasing latency because they re connected directly together rather than having to communicate via a CPU. Services like Amazon AWS Microsoft Azure Google and Facebook are all made possible in part by FPGAs. When Microsoft first started putting FPGAs into Azure it was to scale low latency and high throughput to systems with very large amounts of data and very high traffic the indexing servers for Bing. Companies that want to give Azure Quantum a trial run can do so for free for the first hour. We present the design of AccelNet including our hardware software co design model performance results on key workloads and experiences and lessons learned from developing and deploying AccelNet on FPGA based Azure SmartNICs. The FPGA platform in Azure delivers an order of magnitude more performance than CPUs at less than a 30 percent cost incfdrease and uses no more than 10 percent more power. May 20 2019 Azure Machine Learning Service cloud service.
Azure Arc takes the work the company has done on projects like Azure Stack throws. With Naif Tarafdar University of Toronto. I could go on and on about why now is time for FPGAs to take their place in computing but time is of the essence. com Azure Stack Edge Pro with FPGA is a Hardware as a service solution. The A2e H. Jul 12 2017 New Azure servers to pack Intel FPGAs as Microsoft ARM lessly embraces Xeon. Azure can parallelize pre trained deep neural networks DNN across FPGAs on Azure Kubernetes Service AKS to scale out your service.
Azure Machine Learning Notebook Virtual Machine VM announced in May 2019 resolves these conflicting requirements while simplifying the overall experience for data scientists. Microsoft s addition of another chip supplier would replace up to half of it Nowadays it is easy to develop your own FPGA based application that can collect analyze and react to data from IoT equipment. Sep 27 2016 That work led to the second current design of Microsoft 39 s FPGA hardware layout. This can allow for FPGA enabled devices to be dynamically reprogrammed in the field without physical access. Sep 27 2016 In addition to their PCIe connection to each hardware server the FPGA boards were also plumbed directly into the Azure network enabling them to send and receive network traffic without needing. Average of 4. May 07 2018 Azure s architecture developed with Intel FPGA and Intel Xeon processors enables innovation with accelerated AI on the user s terms for custom software and hardware configuration. Intel s biggest competitor in the FPGA market during the third quarter earnings call. But when I tried to run it on FPGA hardware it could not detect any platform. FPGA Chips Used in Cloud FPGAs Different Cloud FPGA providers make various FPGAs available for remote access Major FPGA vendors are Xilinx and Intel Altera Typically Cloud FPGAs only provide one type of FPGA board available Intel Altera FPGAs are available in public clouds as well as in Microsoft s data centers where. The DNNs can be pre trained as a deep featurizer for transfer learning or fine tuned with updated weights. The design was done by the five authors over a span of approximately 3. FPGA Fabric Input data Output data Output data Input data Each core in a multicore processor system shares main memory with the other cores. Microsoft Azure provides building testing deploying and managing applications and services through Global Network of Data Centers managed by Microsoft. Search and apply for the latest Azure engineer architect jobs in Norwalk CT. according to. You ll find pre built solutions for Digital Signal Processing DSP Serializer Deserializer SerDes networking microcontrollers MCUs and microprocessors MPUs and even analog blocks to speed design and simplify development. Amazon Web Service Aliyun Alibaba Cloud Microsoft Azure Huawei Cloud and etc.
Feb 11 2021 Rely on Azure IoT Hub to easily and securely connect your Internet of Things IoT assets. Jan 29 2019 Core FPGA Chip This board features a SPARTAN 6 FPGA from Xilinx which is Spartan XC6SLX9 in CSG324 package. Azure ML provides prebuilt curated environments if you don 39 t want to define your own environment. FPGA ensures the reconfiguration of its architecture for each new application. Microsoft 39 s FPGA embracing Project Catapult began in 2010 with pilot tests in 2012 and an it was deployed at scale in 2015. Another Innovation from our Long Standing Partnership Azure SmartNIC Use an FPGA for reconfigurable functions FPGAs are already used in Bing Catapult Roll out Hardware as we do software Programmed using Generic Flow Tables GFT Language for programming SDN to hardware Uses connections and structured actions as primitives SmartNIC can also do Crypto QoS Feb 03 2021 The Azure Quantum service depends on a qubit instead of a binary bit as the basis for its operations. Above all One of the main disadvantages with the compute near Storage in Cloud storage acceleration with FPGA is that there could be new APIs for using the FPGA functions. Apr 22 2017 Abstract Summary form only given. Use the URL https preview. FPGA Acceleration of OpenCL programs on Azure VMs. Nov 09 2020 An example is Microsoft which provides its FPGA powered machine learning technology as part of the offerings of its Azure cloud service. The Architecture consists of SQL query decomposition algorithms fine grained. In this guide you use Azure Machine Learning service to We present Azure Accelerated Networking AccelNet our solution for of oading host networking to hardware using custom Azure SmartNICs based on FPGAs. 264 variable and fixed bit rate encoding of video streams. Microsoft sends the Azure Stack Edge as a cloud managed device to the customer. Archived Forums gt Azure Virtual Machines. But the problem with FPGAs is that they are very hard to program. The logic arrays sit on a daughter board within their host servers together with their own RAM. Hardware heterogeneity enables programmers to improve the performance of their applications while decreasing energy consumption. I understand your point and will keep this in mind for future. Some of these plans could sideline the use of GPUs and CPUs used for deep learning from the likes of NVIDIA Intel and other chipmakers. May 19 2020 ONNX Runtime is an open source project that is designed to accelerate machine learning across a wide range of frameworks operating systems and hardware platforms. Nov 18 2019 NP Azure Virtual Machines for HPC coming soon Our Alveo U250 FPGA Accelerated VMs offer from 1 to 4 Xilinx U250 FPGA devices as an Azure VM backed by powerful Xeon Platinum CPU cores and fast NVMe based storage. Application software is created via a Python compiler and runtime within the Azure Machine Learning SDK. Result reuse lowers memory access and therefor overall power usage in regards to TCO. Azure s FPGA based accelerated networking reduces inter virtual machine latency by up to 10x while freeing CPUs for other tasks. It can also keep the ASIC loving Google Cloud at bay. The shares that you add on the Azure Stack Edge Pro device can be local shares or shares that push data to cloud. Microsoft also bases its Azure SmartNICs on FPGAs. The web service is a Docker container image that contains the model and scoring logic. See full list on azure. Apr 05 2018 1 Microsoft FPGA Engineer interview questions and 1 interview reviews. Microsoft may have said ARM servers provide the most value for its cloud services back in March but today it 39 s given Intel 39 s new Xeons a big ARM less hug by revealing the hyperscale servers it uses in Azure are ready to roll with Chipzilla 39 s latest silicon and will all use Chipzilla 39 s field programmable gate arrays. The new chip continues leveraging Intel s chiplet architecture and the FPGA portion of the chip is fabbed using Intel s 14nm technology. Hence the second paper describes the solution being deployed in Azure the FPGA is placed between the NIC network interface controller of the host and the actual network as well as having a PCI connection to the host. Learn how to deploy an image classification model as an encrypted inferencing web service in Azure Container Instances ACI . Examples TCP IP checksum offload ecryption decryption audio codec applications that requre very low and predictable latency. May 02 2019 Azure Machine Learning complements services like Microsoft s Azure Bot Service a scalable chatbot platform with which 400 000 digital agents have been created to date with 3 000 coming online. Feb 03 2020 As the Azure community and partner ecosystem celebrates its 10th birthday let s take a look at the major milestones in the evolution of Microsoft s cloud platform. Research at Microsoft Microsoft launched its platform to run deep learning models in the Azure cloud and on edge devices in real time called Project Brainwave. Hyper V and Azure Credits Brocade Chas Williams Eric Kinzie Jan Blunck Nachiketa Prachanda Sven Thorsten Dietrich Wen Chiu . Aug 29 2017 FPGA based data center and deep learning inference accelerators can help Azure catch up with AWS. May 07 2018 Microsoft 39 s Project BrainWave its effort to use Field Programmable Gate Array FPGA technology to provide fast AI processing in Azure is now in preview in a couple of different forms. Lots of data collisions and congestion. Find the right high performance computing HPC solutions at nearly any scale on Azure. Initiating Azure Devops release pipeline from Logic Apps. With Meltdown and Spectre hobbling CPUs that helping hand may be even more appreciated than Microsoft anticipated. Aug 06 2019 Whereas the single slot Arria 10 GX FPGA is full height half length with a peak power rating of 70 watts the dual slot PAC D5005 is full height three quarter length that can draw up to 215 watts of power. 2 10 2 30 Networking Break Coffee Light Refreshments . This is a reprogrammable computer chip that the company has now implemented in Azure and Bing. Full time temporary and part time jobs. The toolkit works with the following Azure services BLOB and queue. GPUs are on offer on AWS Azure Google Cloud all of which use Nvidia for their. Competitive salary. Use the Azure portal to add delete refresh shares or sync storage key for storage account associated with the shares. May 14 2019 Azure isn 39 t the only cloud with FPGAs Baidu uses them to accelerate SSD access for example. Secondly the appliance is configured and managed as.
Oct 17 2016 A team of Microsoft engineers and researchers working together has created a system that uses a reprogrammable computer chip called a field programmable gate array or FPGA to accelerate Bing and Azure. ArcGIS Enterprise on Microsoft Azure. Azure FPGAs are integrated with Azure Machine Learning. 264 Encoder is capable of being synthesized in many FPGAs and supports H. For Deep learning it is relatively straightforward and functions can be offloaded at the layer by layer level or the complete network can be offloaded. The Azure ML Notebook VM is a cloud based workstation created specifically for data scientists. azure. The required agents are already on the Edge and can be managed via Azure Portal. 000 postings in Norwalk CT and other big cities in USA. It is target to leverage FPGA highly parallel computing capability to accelerate Spark SQL Query and for FPGA s higher power efficiency than CPU we can lower the power consumption at the same time. All network traffic goes through the FPGA. This new generation of algorithms apply quantum principles for increased speed and accuracy running at scale on a range of silicon including CPU GPU and FPGA. Use automated machine learning to identify suitable algorithms and tune hyperparameters faster. Azure has also introduced the Cognitive Services algorithms meant for developing insights from structured and unstructured content.
Nov 13 2019 Microsoft is turning up servers for Microsoft Azure based on Marvell s ThunderX2 Arm server processor portfolio. Microsoft also claims that Azure is the world s largest cloud investment in FPGAs . Apply for Internship opportunities FPGA technologies for the Cloud job with Microsoft in Cambridge Cambridgeshire United Kingdom. Customers have provided feedback to support an event driven se.
They call their hardware the Neural Processing Unit NPU and it powers Azure and Bing. May 08 2018 FPGAs running on the Azure cloud would allow developers to tune hardware for precise retraining tasks associated with real time AI workloads the partners said. ArcGIS Enterprise Cloud Builder for Microsoft Azure allows you to deploy ArcGIS Enterprise ArcGIS Server sites ArcGIS Pro and ArcGIS Desktop on Microsoft Azure virtual machines. Integrated Bing Azure design Bump in the wire introduced v2 Production and ramp FPGAs reach production Deployed in all new servers Catapult v3 Longs Peak DNN Platform for Bing 50Gb w integrated NIC Azure AccelNet Unveiled Azure production launch AI Supercomputer demo Project BrainWave Storm Peak Real Time AI First 3rd Party FPGA Service. But FPGAs are so efficient that you don t need to prepare to deploy large numbers of them. Hot Network Questions Apr 17 2019 Discover how to achieve performance for models such as ResNet 50 in under 2 ms five times faster than published benchmarks. Use cases You can manage the Azure Stack Edge Pro FPGA device via the Azure portal or via the local web UI. Nov 04 2019 The Azure Stack Edge data transfer appliances include an onboard field programmable gate arrays FPGAs meant to help handle AI inferencing on the devices. 2nd generation HyperFlex architecture Up to 40 higher performance or up to 40 lower total power 2 compared with Intel Stratix 10 FPGAs 1 . Jan 22 2021 Introduction. . Think of it as a much smaller version of Azure Stack Hub that uses purpose built hardware as a service such as Pro GPU Pro FPGA Pro R and Mini R. This article describes types of Virtual Machines VMs available in the Azure Cloud. Parallel computing is the important feature of FPGA which can read the multiple sensor data at the same time and update it to the cloud continuously. Note Only workspaces in the East US 2 region are currently. For more info see here. Research at Microsoft Field Programmable Gate Arrays FPGAs Overcome power system size cost and security challenges across all kinds of applications by selecting from our families of FPGAs. IoTEdge SoC_FPGA Azure IoT Edge Module for controlling an Intel Cyclone V SoC FPGA The IoTEdge Soc_FPGA project enables cloud deployment of FPGA configurations using Raw Binary Files . There are two parts of the solution accelerator the cloud solution and the edge device that runs on premises. Verified employers. Aug 20 2018 In terms of what GPU or FPGA vendor to choose the options are intertwined with the cloud or on premise question. Oct 30 2018 Xilinx Inc. Recently Microsoft dropped Intel to exclusively power its Azure services in favor of another chip maker Xilinx. Circuit diagrams were previously used to specify the configuration but this is increasingly rare due to the advent of electronic design automation tools. May 08 2019 Azure ML Hardware Accelerated Models is currently in preview. This blog will discuss the changes between the Rev 1 and Rev 2 boards how to select the device in your build environment and what use cases are unlocked with the Rev 2 kit. Image used courtesy of Microsoft . SecureX also orchestrates the configuration of Azure VNets. Nov 01 2016 Microsoft Azure Goes Back To Rack Servers With Project Olympus November 1 2016 Timothy Prickett Morgan Cloud Compute Hyperscale 1 The thing we hear time and time again from the hyperscalers is that technology is a differentiator but supply chain can make or break them. Get a full range of CPU GPU FPGA and fast interconnect capabilities. Jun 14 2019 With the advent of small form factor GPU and FPGA enabled devices we are starting to see more and more heavy lifting happening on the device itself. The maker of programmable chips will supply co processors for Azure across more than half of Microsoft s cloud service. Azure Scale Cloud Networking Today Agility with Software Defined Networking Hardware acceleration needed in the 40G era The industry has relied on ASIs but ASIs aren t agile enough Solution FPGA based SmartNIC Demo Apr 01 2019 Firstly Azure Data Box runs on Intel Arria 10 FPGA one of the most sophisticated programmable chips to accelerate machine learning models. These advances have resulted in the industry s fastest public cloud network and new technology for acceleration of Deep Neural Networks DNNs that replicate thinking in a manner that s conceptually similar to that of the human brain. The purpose of this website is to Introduce FPGA developers to Amazon Web Services AWS FPGA platform Provide introductory intermediate and advance information to FPGA developers who are developing or want to develop on the AWS FPGA Platform Field Programmable Gate Array FPGA is an integrated reconfigurable device composed of reprogrammable logic blocks. PaaS offerings like Azure App Services AWS Elastic Beanstalk and others make it easy to deploy an entire application. US government entities are eligible to purchase Azure Government services from a licensing solution provider with no upfront financial commitment or directly through a pay as you go online subscription. Nov 18 2020 Azure Stack Edge Get rapid insights with an Azure managed appliance using compute and hardware accelerated machine learning at edge locations for your Internet of Things IoT and AI workloads. Azure SmartNIC FPGA . Let s build our first Azure Function Before we proceed I would like to point out that the code of the Azure Function that we re going to build is available here for you to take a look if you want to. Jun 17 2015 Microsoft Azure is built on software defined networking SDN and achieves scale by focusing on software based answers to its issues. Dec 18 2020 Microsoft is reportedly developing an Arm based processor for its Azure public cloud offering. This development kit is certified with key cloud service providers CSPs such as Microsoft Azure and comes with open source design examples that will take new users through the process of connecting an FPGA based edge device to the cloud for the first time. Altera cloud computing FPGA design software. FPGA on the other hand can be used for a broader range of accelerations. If you are interested in participating in an early access beta to online features contact us Oct 28 2019 Not to be outdone Microsoft has also designed its own AI architecture based on FPGA field programmable gate arrays . I was able to compile an OpenCL program using the Intel FPGA SDK. Sep 26 2016 An FPGA s advantage is that it can be tuned or optimized for a specific task so that it can perform that task faster and then be quickly reconfigured as Microsoft s own algorithms improve. The device is then equipped with either a built in Field Programmable Gate Array FPGA that enables accelerated AI inferencing or a Graphics Processing Unit GPU . Microsoft Azure SmartNIC boards Gen one on right Gen two on left and bump in the wire architecture. Password Vaulting Azure Active Directory enables administrators to securely store passwords in the cloud and assign those passwords to individual users or groups for shared access. All General purpose Compute optimized Memory optimized Storage optimized GPU High performance compute FPGA. Costs scale as high as 900 per hour which applies to running up to 10 concurrent jobs for FPGA. Project Cortex uses advanced AI to deliver insights and expertise in the apps you use every day to harness collective knowledge and to empower people and teams to learn ups. The NP series will enable true lift and shift and single target development of FPGA applications for a general purpose cloud. The AccelNet service has been available for Azure customers since 2016 providing consistent . It also affects the tech giant 39 s burgeoning AI plan. It has customizable IOs so it can interface with any chip with compatible signal levels speed number of IOs . Now Azure 39 s FPGA set up is thought to be the largest in the world with the company adding multiple Intel Arria 10 FPGAs to each server. It also provides a better balance between CPUs and FPGAs and hardware and software. ly WhoIsSteveCasselman Aug 24 2017 Moreover with the FPGAs linking to the Microsoft Azure network directly any processor in Azure can access any single FPGA or cluster of them running a DNN for inference.
It is a semiconductor IC where a large majority of the electrical functionality inside the device can be changed changed by the design engineer changed during the PCB assembly process or even changed after the equipment has been shipped to customers out in the field . 15 s VM VM TCP latencies and 32Gbps throughput which we believe represents the fastest network available to customers in the public cloud. That s millions of FPGAs used for computing. Once you subscribe to Azure Data Box Edge you can deploy the IoT Edge modules to the Data Box Edge and benefit from the included Azure ML FPGA acceleration. Secure ruggedized appliance Sep 30 2019 Azure IoT Edge is an open source cross platform software project from the Azure IoT team at Microsoft that seeks to solve the problem of managing distribution of compute to the edge of your on premise network from the cloud. However under the unassuming faceplate the two products use a Dell EMC server chassis. Oct 17 2016 Microsoft has been exploring the use of FPGAs since 2010 with its Project Catapult effort. Free fast and easy way find a job of 702. Welcome to the Azure Community Space This is the place to discuss best practices news and the latest trends and topics related to all things Azure. Nov 07 2019 An Evolutionary Look at FPGA Software Systems. on board GPU or FPGA to get results close to the data source Edge compute Run VMs containers and Azure services at the edge locations Cloud storage gateway Transfer data to Azure over the network while retaining local access to blobs and files Azure managed appliance Order and manage your appliance and workloads through the Azure portal Nov 04 2019 With the preview of Azure Arc Microsoft today announced a major step in the evolution of its hybrid cloud story. Earlier this year when outlining his 39 Data Center First 39 strategy to DCD Xilinx 39 s new CEO Victor Peng highlighted Microsoft 39 s work as a prime example of how companies could embrace FPGAs in the data center. Late last year Avnet released the Avnet Azure Sphere Starter Kit Rev 2. The bulk of new servers added to the platform will be fitted with Field. Free interview details posted anonymously by Microsoft interview candidates. Russinovich also outlined a new cloud acceleration framework that Microsoft calls Hardware Microservices. With cloud based access through Azure Quantum you can accelerate research into solving problems in chemistry medicine finance and logistics. Traditionally engineers might wait two years or longer for hardware with different specifications to be designed and deployed. As we reported back in September Microsoft has deployed Altera FPGAs in every server in its Azure cloud effectively creating an AI supercomputer. It is a deep learning system based on FPGA and is suited for real time AI. Azure Sphere Securely connect MCU powered devices from silicon to Cloud Azure IoT Hub Connect monitor and manage billions of IoT assets Azure IoT Edge Extend cloud intelligence and analytics to the edge devices Azure Services FPGA Azure ML Local Storage IoT Hub. However FPGA instances on the cloud are still physical instances which are aimed for single task and static workload scenario which means if there are multiple users they can only share one. Architecture of Intel FPGA PAC N3000. The rate depends on the machine characteristics. The bulk of new servers added to the platform will be fitted with Field Programmable Gate Arrays FPGAs a type of chip whose core logic can be reconfigured using software. have all provided Xilinx FPGA instances on their cloud at present. In this video Scott Hanselman delivers one of the best and personal demos he 39 ll show you how a combined solution using technologies such as IoT devices clo. You simply upload multiple collections of labelled images. In this session we will present a Configurable FPGA Based Spark SQL Acceleration Architecture. To address this need we leveraged an FPGA in the Azure Cloud which allowed simpler model management and scale while reducing the gateway hardware cost. The advantages of deploying on Microsoft Azure include the following You don 39 t have to maintain hardware infrastructure. I have strong FPGA experience but lack knowledge regarding encoding and transfering video data. Although FPGA has been around for decades Microsoft has figured out a way to scale the architecture for deep learning workloads. May 24 2017 At Microsoft s recent Build conference Azure CTO Mark Russinovich presented a future that would significantly expand the role of FPGAs in their cloud platform. Customers can access the Project Brainwave public preview.
Basically I want to design yet another IP camera. On. Improve productivity and reduce costs with autoscaling GPU clusters and built in machine learning operations. Easy Configuration Azure Active Directory provides a simple step by step user interface for connecting Cortex to Azure AD. They handle provisioning servers and deploying your application to the servers. In a presentation in June of 2015 at Open Networking Summit . Jun 18 2015 Redmond reveals Azure 39 s FPGA powered NICs pledges cloud grade SDN on premises. Microsoft s Project Brainwave provides customers with access to Intel Stratix FPGAs through Microsoft Azure cloud services. May 20 2017 At Microsoft s annual developers conference Microsoft Azure CTO Mark Russinovich disclosed major advances in Microsoft s hyperscale deployment of Intel field programmable gate arrays FPGAs . Micro. On the Azure cloud computing platform FPGAs are being tapped to help Microsoft increase the. This IoT Edge module will allow the user to configure the FPGA portion of the Cyclone V SoC from Linux within an IoT Edge module allowing for a robust deployment mechanism for shipping FPGA configurations to remote devices at scale. Last month it went public with its use of the Intel Altera FPGA chips in its Azure cloud. Use cases for integrating FPGA into an SoC There are several applications where integrating an FPGA has advantages In an existing system where an FPGA is paired with an SoC for example a Smart NIC or Microsoft Azure To provide flexibility for an SoC to change algorithms and or protocols as standards change or for the needs of different customers Oct 18 2016 Back at Ignite last month Microsoft discussed the field programmable gate array FPGA . Azure SmartNICs implement Microsoft 39 s accelerator network or quot AccelNet quot and are deployed on Azure servers deployed since 2015. microsoft. AMS uses cloud architectures that. The new cloud service enables you to conduct design intensive work ranging from FPGA code evaluation to designing with register transfer level language RTL or using OpenCL. Microsoft Azure Machine Learning Today we re pleased to introduce Project Cortex the first new service in Microsoft 365 since the launch of Microsoft Teams. May 07 2018 Azure also has been using FPGAs for the past several years to accelerate Azure s cloud network. Jun 08 2017 In fact the whole Azure network relies on FPGA powered software defined networking. May 03 2019 FPGA chips have been used for years now to run 100 of data encryption and compression acceleration tasks for Azure. Coming to the issue I have created a blob storage account in my azure batch account and am passing it 39 s account key and account name in the azure iot. If you are looking at using an azure compute instance like EC2 F1 there are ND series instances of GPU family that are optimized for ML. Mar 30 2020 Azure Sphere sum up all these properties for securing your IoT device and keeps you ahead for your secured IoT developments. Catapult s Azure Management Services AMS delivers consistent optimization for all your operations in the cloud such as monitoring and alerting diagnosing health and performance configuring analytics providing cost fluctuation alerts and keeping up with the constant release of new features in Azure. We present Azure Accelerated Networking AccelNet our solution for offloading host networking to hardware using custom Azure SmartNICs based on FPGAs. You. Another preview area you can try is the next version of the Azure portal. Today we re going to learn how to create and deploy an Azure Function using Rust and the azure functions sdk library. Microsoft says that every Azure server for the past several years has been equipped with FPGAs and until now those FPGAs have come exclusively from Intel Altera. 264 ENCODER FPGA Core High Speed Micro Footprint. Build with an Azure free account. This model charges a flat rate per each minute the machine is running. Learn how Microsoft 39 s Project Brainwave is solving the challenges of real time AI and accelerating the AI technologies powering Bing and Azure with Intel Stratix 10 FPGAs and state of the art DNN models. The first hyper scale cloud company to go public with their use of reconfigurable computing technologies like FPGAs was Microsoft Azure. We define the goals of AccelNet including programmability comparable to software and performance and efficiency comparable to hardware. Go to a cocktail party full of techies and sooner or later someone 39 s going to mention microservice architecture. In 2010 the company pioneered using FPGAs on Azure and Bing to accelerate internal workloads such as search indexing and software defined networking SDN . Jan 29 2021 Azure Stack Edge comes with a preconfigured solution to connect to an Azure Storage Vault and provide a Fileshare to the network. Apply for Researcher FPGA computer systems job with Microsoft in Cambridge Cambridgeshire United Kingdom. Introducing the Xilinx Real Time Video Server appliance reference architectures. The Azure IoT Edge runtime enables custom and cloud logic on IoT edge devices. Apr 22 2020 Using FPGA in IoT Application Some of the features of FPGA takes IoT to the next level. a maker of programmable chips increasingly being used in data centers has won orders from Microsoft Corp. To enable cloud deployment of FPGA configurations via Raw Binary Files .
Jun 05 2018 In the cloud scaling and efficiently using such a design is problematic. Sep 27 2016 The FPGA build out was the culmination of more than five years of work at Microsoft to find a way to accelerate machine learning and other throughput demanding applications and services in its Azure cloud. Oct 03 2016 The emerging cloud platform would use an FPGA fabric tied to GPU processing to speed applications like machine translation and Bing search queries. Microsoft sees more Linux VMs in Azure than Windows Server VMs which could be evidence that it isn 39 t just for. Microsoft claims that AccelNet offers less than 15 s VM VM TCP latencies and 32 Gbps throughput. The Mini is designed to work in the harshest environment conditions supporting scenarios such as tactical edge humanitarian and emergency response. Oct 31 2018 Microsoft has selected Xilinx as its FPGA supplier for Azure datacenters. Use device to cloud telemetry data to understand the state of your devices and assets and be ready to act when an IoT device needs your attention. Project Brainwave an FPGA based deep learning system built for real time AI was released as a preview. Function as a Service FaaS provides the ability to deploy what is essentially a single function or part of an application. s Azure cloud unit replacing chips made by Intel Corp.
Results can be used directly by the next function without going back to memory. Our FPGA core is highly optimized and 80 SMALLER AND FASTER THAN THE COMPETITION WITH 1ms LATENCY 1080p30 . Follow these instructions to install the Azure ML SDK on your local machine create an Azure ML workspace and set up your notebook environment which is required for the next step. Sep 12 2018 By 2015 Microsoft deployed FPGAs at scale into its Azure public cloud and within a year its AccelNet program had introduced FPGA based SmartNICs as the default hardware for implementing virtual network functions in Azure deploying FPGAs in over one million hosts. rbf to remote devices. I am planning a open source university project for my students based on Zynq Xilinx FPGA that will capture CMOS video encode it into transport stream and send it over Ethernet to remote PC. Notebook VM based author. Typical portal preview features provide performance navigation and accessibility improvements to the Azure portal interface. Intel provides the Intel Quartus Prime design software Intel FPGA SDK for OpenCL and the Mentor ModelSim Intel FPGA Edition Software on the Nimbix cloud platform. Nov 08 2016 Azure is competing with new innovations in technologies like containers and FPGA. Aug 29 2019 Compute Express Link Industry s first FPGA to support upcoming Compute Express Link CXL a cache and memory coherent interconnect to future Intel Xeon Scalable processors. com notice the preview prefix . Microsoft is making floating point gate arrays FPGAs the front door to its Azure cloud servers speeding up AI and Internet searches. Oct 29 2019 The Azure Stack Edge Physical Appliance The appliance is a 1RU node rack system that consists of 20 CPU cores and an Intel Arria 10 field programmable gate array FPGA chipset. Questions One FPGA card is assigned to every new Azure server and is connected to its NIC network interface card PCIe bus and the top of rack network switch.
ML at scale on top of Azure FPGA. May 07 2018 One year ago Microsoft Azure CTO Mark Russinovich described their plan to build the Azure Cloud Services infrastructure with an FPGA in every node. Dec 10 2020 Global FPGA market to double by 2026. DevOps for ML model interoperability ability to use with FPGA Field Programmable Gate Arrays and ONNX Open Neural Network Exchange to. Server applications such as network and fabric I O data encryption system management and base board management control server applications benefit from Intel FPGAs. Choosing one of these platforms in order to achieve the best performance lower cost or better performance cost is a challenging task and needs careful consideration and detailed planning. That means it 39 s possible for each FPGA to talk. Xilinx with Microsoft Azure IoT provide differentiated and collaborative edge to cloud machine learning capabilities. 2 30 2 50 Automated Deployment Scaling and Sharing of FPGA Clusters. 1. This enabled a 50 percent increase in throughput or a 25 percent reduction in latency. In addition it includes a generic standards based framework for connecting and authenticating. Aug 28 2017 Microsoft recently disclosed Project Brainwave which uses pools of FPGA s for real time machine learning inference marking the first time the company has shared architecture and performance. A qubit can exist in multiple states unlike the strict on and off of binary computing. AWS Alibaba cloud Azure and Huawei offers several platforms such as general purpose CPUs compute optimized CPUs memory optimized CPUs GPUs FPGAs and Tensor Flow Processing Units. About shares. Azure Stack Edge Pro FPGA share management Microsoft Docs integrate bots with Azure app services and Azure Application Insights Design the compute infrastructure to support a solution identify whether to create a GPU FPGA or CPU based solution identify whether to use a cloud based on premises or hybrid compute infrastructure Feb 28 2020 While there are great devices like Azure Stack Edge https docs. Nov 06 2019 Each Azure Stack Edge node has network data transfer capabilities incorporates a built in FPGA for accelerated AI inferencing and functions as a storage gateway.
Terasic De10 Nano Note porting to other Cyclone V enabled hardware should be straightforwad but is not. The Intel FPGA software supports the Pay As You Go licensing model in the Azure cloud. Microsoft NASDAQ MSFT said a limited preview of Project Brainwave provides access to FPGA based systems running on premises. Sep 26 2016 Ignite Microsoft is using Intel Altera Field Programmable Gate Arrays FPGA chips to speed up Azure services according to an announcement at the Ignite event under way in Atlanta. The new tools Azure Custom Vision and an Anomaly Detector service were unveiled in a March 26 post on the Azure Blog by Anand Raman the Azure AI platform product manager at Microsoft. And in AWS developers can use them to accelerate applications that usually run on an appliance in the. Jan 08 2018 Microsoft says the new NICs plus off the shelf tech like SR IOV make it possible to hit up to 30Gbps of throughput on Azure servers by getting NICs to do the work rather than leaving networking to the CPU alone. Oct 02 2018 Azure Data Box Edge and its ruggedized Azure Stack are Microsoft s first branded enterprise servers. Intel in a whitepaper on building a PoC of segment routing using FPGA SmartNIC and P4 language also advocates an FPGA solution and employment of the P4 language. Sep 25 2020 Microsoft is aggressively courting organizations to move AI compute operations into Azure. 9 billion a couple. Data Box Heavy PREVIEW Capacity 1 PB Weight 500 lbs.
May 07 2018 2015 FPGA enabled servers were deployed at scale in Bing and Azure datacenters and Bing first used FPGAs in production to accelerate search ranking. Embedded FPGA or eFPGA enables your SoC to have flexibility in critical areas where algorithm protocol or market needs are changing. 2016 Azure launched Accelerated Networking using FPGAs to enable the world s fastest cloud network. Video Demonstration. Overview Today s cloud based FPGA instances sometimes called FPGA based acceleration as a service give the ability to rent time on an FPGA equipped server instead of purchasing a board or integrated server. Sept 2016 NEC To create the NeoFace Accelerator the engine software IP was integrated into an Intel Arria.
Mar 30 2020 Within the Azure Stack portfolio Azure Stack Edge is uniquely positioned for its form factor and the ability to run ML and AI models. To transfer data to Azure you need to create shares on your Azure Stack Edge Pro FPGA. Feb 05 2019 Not surprisingly FPGA demand is expected to shoot up in the coming years. This FPGA enabled architecture offers performance flexibility and scale and is available on Azure. Intel FPGA enhanced. A field programmable gate array is an integrated circuit designed to be configured by a customer or a designer after manufacturing hence the term quot field programmable quot . They re also tailored for powering new services that will leverage artificial intelligence and deep neural networks FPGAs already drive Bing and Azure and are expected to be found in all new.
Understand behind the scenes of Azure 39 s virtual networks and how FPGA cards make VM accelerated networking work. What is an FPGA It is an acronym for field programmable gate array. Apr 05 2019 The Azure Custom Vision service is a simple way to create an image classification machine learning model without having to be a data science or machine learning expert. Thanks for your response . AZURE MACHINE LEARNING SERVICE Use Azure Machine Learning service to accelerate the machine learning lifecycle with powerful NVIDIA GPUs. With John Lockwood Algo Logic. The Catapult project has brought the power and performance of FPGA based reconfigurable computing to Microsoft 39 s hyperscale datacenters accelerating major production cloud applications such as Bing Web search and Microsoft Azure and enabling a new generation of machine learning and artificial intelligence applications. The boards are connected to the host CPUs by a PCIe gen 3 interface. For example you could upload a collection of banana images and label them as 39 banana 39 . Bing is never going to be as popular as. And 200 io pins with plenty of Block RAM amp distributed RAM memories PLLs DSPs and much more as you can find out on Xilinx website documentation. A Spartan FPGA. Supported Devices. Microsoft is rolling out both a. It is used extensively in Microsoft products like Office 365 and Bing delivering over 20 billion inferences every day and up to 17 times faster inferencing. A Fully Programmable Grid May 12 2017 Azure s FPGA based Accelerated Networking reduces inter virtual machine latency by up to 10x while freeing the Intel Xeon processors for other tasks.


Untethering R&D teams to build a healthier future.
The Valohai platform is uniquely suited to empower teams building complex models for life sciences and medical imaging.Book a demo below and get a free 14-day trial.
Powered by Valohai
Helping teams to scale their ML development – safely and securely.
Helping translate images into discoveries.
Detecting rare lesions in medical images.
Making biomedical data findable and usable.
Developing digital solutions in dermatology.
Bringing clarity to cancer treatment decisions.
Revolutionizing pathology with artificial intelligence.
Valohai allows us to scale up machine learning without worrying about managing infrastructure. The platform has drastically changed how we build our team because our expertise can be more focused on data science and less on cloud and DevOps. All in all, Valohai accelerates how quickly we can develop and launch solutions while keeping our costs down.
Petr Jordan, CTO, Onc.AI
Scale experimentation with ease on any hardware
Valohai’s smart orchestration makes spinning up as many experiments as you need easy on any cloud or on-premise environment.
Unify workflows across individuals and teams
Valohai’s knowledge repository stores all experiments, metrics and models so you and your team are working from the same foundation.
Handle big and unstructured data with ease
Valohai is built to handle data in any format and from any source. In addition, Valohai’s data caching removes unnecessary data transfer.
Keep data safely in your environment
Valohai is designed to keep your data in your private environment and to meet even the strictest security requirements so you can feel at ease.


ThermoMix500 combines the function of mixing and temperature control providing you with a convenient method to incubate samples. This unit employs Peltier effect heat exhange technology to provide accurate, stable temperature control, and can be used with a selection of interchangeable blocks for plates and tubes.
ThermoExp500 is designed to meet a wide array of needs required of different PCR applications. Interchangeable blocks allow the ThermoExp500 to adapt to plates, tube strips and tubes (0.2/0.5 ml). The ThermoExp500 also includes a unique, dual sample block, which permits execution of two different PCR programs simultaneously and independently.
H2O3 is a thermoelectric (Peltier) dry bath chiller. Connected to the provided 12 VDC power supply, the aluminum sample block is automatically maintained between 0 - 2°C. It is designed to keep samples at cold temperatures in many experimental procedures. It is a simple and convenient replacement of a wet ice bucket. Two models are currently available.


Number 1 Tech Trend that Will Shape the Coming Decade: Automation AI RPA. Watch it Live on Tesla Today.
Learn about the top trends for the coming decade and how you can start profiting from them. This article addresses investing in Tesla and what's ahead for autonomous robotic AI trading.
Let's start with some of the top trends for the coming decade.
- Automation AI RPA (do not confound with RPA)
- Machine Learning NLP
- Software no-code solutions
- Cloud and edge compute
- Clean technology
- NG materials
- Quantum computing
AI + RPA
When I told you to invest in Tesla years ago, you were investing in some of these new technologies; I have had the pleasure of explaining the Foundation in my course.
To Achieve What Nobody Else Has, We Do What Nobody Else Does
Please do not confound RPA with automation AI RPA; it's like comparing oranges to apples.
Adding AI to RPA opens almost limitless opportunities to automate intelligent cognitive processes—driving productivity, efficiency, and customer satisfaction. Intuitive AI aims to enable end-to-end digital transformation using AI and RPA.
To learn more about the benefits of automation AI RPA you have numerous articles on this Blog discussing the universe of assets in the capital markets, stocks, Forex, ETFs, cryptocurrencies, commodities, futures, and a category dedicated to Tesla!
Investing in Tesla became more than just a story about value, a fight against the oppressor, countries that cultivate slavery, the establishment, and Wall Street crooks representing the worst in the human species.
In 2022 and beyond, we are coming with new stuff in automation AI RPA. For example, in 2022, all the interactions between our team and users will be handled by bots. You are also coming with new websites covering different topics.
Tesla's share price soared from $885 to $1069 within the last three trading sessions. I will continue working with the Intuitive Code team to bring my visions to life. Merry Christmas, and Happy New Year.
Autonomous AI RPA Solutions
By using autonomous AI trading, you benefit from Alex Vieira's insight, expertise, and experience investing in the markets and native integration with Intuitive Code solutions, which enable efficient end-to-end digital transformation by integrating AI and robotic process automation. In addition, they develop custom software and implement solutions powered by machine learning, predictive analytics, pattern recognition, intelligent assistants, robots, to apps.


Samsung Galaxy S10 Plus Olympic Games Edition Launched the Olympic Additions of several flagship smartphones. Now South Korean company “Samsung” has also introduced the Olympic Games edition of its Samsung Galaxy S10 Plus. For this, the company has partnered with the telecom operator TATA Docomo. This phone comes with a kind of white color variant. It will be made available in a limited number through Docomo.
Finally, the device the sale will start from July 24, whereas, shipping will take place a couple of days later starting from July 26. The custom edition will be exclusively sold in Japan.
Samsung Galaxy S10 Plus Olympic Games Edition Features:
- It has a 6.4-inches Quad HD Plus Curved AMOLED show. This smartphone will be outfitted with the Qualcomm Snapdragon 855 processor or Acinos 9820 processor.
- It has 8 Gigabyte of RAM and 128 Gigabyte interior stockpiling.
- To offer the capacity to the smartphone, a strong battery of 4000 Milliampere is given.
- If we talk about the camera section, there is a triple back camera in it. Its essential sensor is the 12 Mega Pixels zooming focal point.
- The second 12 Mega Pixels wide-point focal point and the third 16 Mega Pixels ultra-wide-edge focal points. Aside from this, 10 Mega Pixels auto-fox focal points, including the 8 Mega Pixels RGB front-profundity sensor, have been given.
Samsung Galaxy S10 Plus Olympic Games Edition Price
As for pricing, the smartphone is priced at 114,696 Japanese Yen ($1,060) and comes in 8GB RAM and 128GB storage variant.


edding portable 12 compact printer
The smart solution for portable printing
Combining the immense functionality of the in-line 12 printer with a positioning laser and industrial battery, the portable 12 compact printer is the perfect solution for industrial marking away from the production line.
The 600 dpi high-resolution print engine enables you to to print barcodes, datamatrix codes, texts and logos. The cartridge system allows for a color change within seconds while the Metabo LIHD battery with 4 Ah allows you to use the printer non-stop for up to six hours.
Using the communication capabilities of the in-line 12, it is possible to collect the data for the prints from any existing datasource within the company or simply use a barcode scanner to generate your print texts.
Benefits of the edding portable 12
The edding portable 12 compact printer is a flexible, independent printer system for any workplace. Developed with German technology partner, Elried, it comes in an all-in-one stackable Tanos transport box. Start up is quick and easy with the animated user guides.
With the edding portable 12 you obtain maximum use time, as no technician or maintenance is required. No maintenance costs also mean you achieve true cost-per-print. Print information can be changed easily and quickly, via the integrated touchscreen, any web browser, mobile device or fully automated. Made in Germany, the printer comes in a high quality, durable aluminium casing, and with a 24-month warranty (excluding consumables).
The portable 12’s advanced connectivity options include Ethernet, SMTP and SNMP. It also boasts a broad range of digital and analogue in- and outputs, including a digital multi I/O.
The 4 Ah Metabo LIHD industry battery allows for 6 hours operating time and can be used with any other Metabo power tool. The printer can also be used with an 8 Ah high capacity battery to achieve 12 hours non-stop working.
An integrated positioning laser ensures accurate printing. The 600-dpi high resolution printing delivers crisp results; and edding’s wide selection of ink types makes it possible to print on almost any material. Finally, the minimum solvent requirement minimises the portable 12’s impact on the environment.
Technical specification overview
- Printing technology: TIJ (Thermal Inkjet)
- Print height: Up to 12.7 mm
- Print resolution: 600 dpi
- Materials / surfaces: Broad ink portfolio for almost all materials and surfaces in multiple colors
- Print options: Multiple linear and 2D bar codes available including DataMatrix, alphanumeric, logo, date / time, shift code, counter, lot-box code
- Internal memory for >10.000 Texts and logos
- Connectivity / data transfer options:
- Data interfaces: Ethernet with DHCP, Wi-Fi (to come), SNMP, SMTP for ordering automatically new cartridges
- User interfaces: Touchscreen display, keyboard, barcode scanner, any other connected device like smartphone and tablet, USB
- Display: Capacitive touchscreen with 4.3” color LCD with LED backlight
- Positioning laser: Red laser line signaling print position
- Metabo LIHD premium industry battery (4000 mAh)
- Charger AC 100-240 V, 50/60 Hz, 3 A, auto-switch
- Works for 6 hours and only 35 minutes for recharging
- Easy to change with other Metabo power tools
- 6 LED indicators: Printing direction right and left, alarm, ink low, print, printer on
- Dimensions (L/W/H): 297 x 152 x 104 mm
- Weight: 1100 g without cartridge
Portable 12: the right solution for industry requirements
The industry examples demonstrate why this industrial printer is the perfect choice for coding in any setting.
When you are printing high resolution codings in the warehouse, you need an industry printer independent from any workstation and you need to be able to change ink types and information quickly and easily. The easy to use and intuitive touchpoint display means you can switch from printing on one item to another in just a few, simple steps. The printing technology means the edding portable 12 also works perfectly on rough materials such as wood, stone or metal.
The edding portable 12 makes it possible to print in the most difficult environments. The dust and temperature changes out on a construction site or in a warehouse are no match for this revolutionary printer. The long-lasting Metabo industry battery also means the printer can work independently if a mains power source isn't available.
Rough, rusty, dusty or smooth metal - all kinds of surfaces can be printed on easily with the edding portable 12 printer. The positioning laser ensures accurate coding and the printing height can be easily adjusted via the touchscreen.
Other industrial printing products
Same unique print engine but for permanent integration into a production line
edding Tech Solutions GmbH


Mersen A6D200R - Time-Delay - Class RK1 - 600V - 200A
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A6D200R - 600V - 200 Amp - Time-Delay
Amp-Trap 2000 SmartSpot time-delay A6D-R fuses provide IEC Type 2 "no damage" protection to existing mains, feeders, and branch circuits serving motor and non-motor loads. A6D-R fuses will open fast enough under extreme fault conditions for maximum short circuit protection to prevent damage to motor starters, switches, and other circuit components, yet also provide the time-delay needed for motor in-rush currents. A6D-R fuses can be used to replace obsolete 600V Class H, K or RK5 fuses already installed in the field.
|Family||Class RK1 Fuses|
|Amp Rating||Fuse 101-200A|
|Fuse Type||Time-Delay Fuse|
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Using Deep Technology to Characterize Populations for Better Fitting Footwear
PLEASE NOTE: all session times are AEDT (Australian Eastern Daylight Savings Time). Please check your difference in timezone so you don’t miss any sessions .
Most of the major global technology companies use Human factors and Ergonomics to build tech that can be personalized and incorporated into our daily routine. Our phones and cars are all examples of how technology directly influences the design of the products we use. Footwear products should not be any different. Deep technology can offer a pathway to providing a direct connection between footwear manufacturers and footwear consumers.
The concept of deep technology uses data to accelerate the innovation cycle of any concept or product. Imagine being measured for a pair of shoes and having that information added to a data lake of foot measurements that are similar in order to create a population so that footwear companies can create multiple versions of optimize footwear for that specific population. The resulting products and information from that population could cause everyone within that innovation cycle (designer, clinician, scientist and consumer) to have access to optimum information that would positively influence the decision-making process resulting in optimal solutions.
Let’s explore together cutting-edge technology that has computer vision and machine learning capabilities meant to target specific muscles and structures specifically, large muscle groups used for balance, stability, gait as well as foot morphology and shoe fitting. This innovative technology exists to identify, collect and store information using infrared sensors embedded in computer vision software thus, characterizing key components of neuromuscular effort as it relates to mechanical efficiency. This technology has been proven in recent studies to provide insight into muscle physiology deficiencies and otherwise ‘Healthy’ individuals. Most clinicians and research scientist study locomotion through Biomechanics alone, let’s take a look at how we are able to use deep technology and computational neuroscience to understand the principles that govern the abilities of the nervous system as it relates to locomotion and stereotyped movement patterns, so that we can better understand our bodies, set expectations for it and optimize restoration characteristics for the disabled while influencing the manufacture of the footwear products we wear.
DJO - Dr. Comfort
Dr Comfort shoes are designed to sustain the highest levels of foot health, especially for people living with diabetes and other foot conditions including Arthritis, Morton’s Neuroma, Plantar Fasciitis, Achilles Tendonitis, swelling, bunions, etc. Available in up to 48 sizing combinations per shoe.


Circuit Board Manufacturing - Leicestershire
Printed Circuit Board (PCB) Manufacturing services.
Printed Circuit Board Manufacturing
Amber Valley developments LLP acquired Advanced PC Ltd, a well established and respected PCB manufacturer in Leicestershire, in 2012.
Bringing APC into the Amber Valley family of companies has strengthened our in-house production capability. By moving APC to a new 6,000 Sq Ft dedicated manufacturing facility, as well as increasing the number of production machines and testing equipment, we now have the ability to offer PCB manufacturing to our sub-contract customers.
This gives us the ability to partner with our customers with a complete turnkey solution if desired.
Service and quality is the key to our success.


Product Documentation >
Product Sheet & Specs | Installation Manual | Network Mgmt. Manual
BridgeWave's 80 GHz point-to-point wireless link comes in two bandwidth options, 100 megabit and Gigabit Ethernet (1.25 Gbps throughput), and reaches single-hop distances up to four miles - longer with repeaters. If your distance is shorter than half a mile, consider the lower cost 60GHz radio.
The wireless connection is seamless to the network, delivering full speed Ethernet (100 Mbps or Gigabit) with minimal latency (60ms), forward error correction and SNMP management.
The link is easy to install because it consists only of a single Outdoor Unit (ODU) with integrated 1' flat-panel or 2' parabolic "dish" antenna. The ODU attaches to a 2 3/8" pipe mount and delivers a two-strand fiber interface (LC or SC) to your network switch or router (100 meter max.). A 14-gauge DC cable also runs from the ODU to an indoor power block (120 VAC, 5A).
At just $15,950 per end for a gigabit connection ($13,450 for Fast Ethernet), the BridgeWave FE-80 and GE-80 radios give you more bandwidth, security and reliability than leased lines, and for a fraction of the cost of fiber. This is a true carrier class radio and therefore it meets the demanding specs of major telcos for use in their own networks.
The FE80 and GE80 radios operate in the protected (licensed) 80GHz frequency band. This is one of the easiest licenses to get - we guarantee your acceptance, and as with all FCC licensed wireless solutions, we guarantee that you will never be knocked off the air by interference. Delivery is 30-days.


Home security in the future
For many years, home security was mainly about having good bolts on your doors and locks on your windows, but in today’s age of technology there is an array of new gadgets that can help keep your home safe. But what might the security systems of the future look like? We get our crystal ball out and have a look.
Locks are usually the first line of defence and technology is already changing the face of them. We already have digital locks, and ones that are opened via pin codes and apps on smartphones – some even allow you to open the lock remotely. With facial recognition technology developing rapidly, we could have locks that only open for people who the system recognises – not unlike how many smartphones open now, for instance.
There are already some smart doorbells on the market, with brands such as Ring – and this is something that Inta-lock Locksmiths in Peterborough can fit for you. These are set to become more commonplace as the technology advances and will likely be part of connected home packages.
Some connected home systems are already on the market – such as Nest – that enables users to remotely control things like the thermostat. It can also be used to switch on lights and close blinds at night, which can give the illusion that someone is home when in reality everyone is out – and that can help to deter burglars.
Drones are so much more than just a cool toy. In future, among many other applications, such as deliveries, they could help keep your home safe. For instance, motion and sound sensors can be placed around your property and if one of those goes off you could deploy a drone to investigate whether it is just an animal or something less benign and send back live video to you.
Should you want to scare away whatever the intruder is – animal or burglar – the drone can use flashing lights and noises.
Smart cameras and burglar alarms
Security cameras have developed rapidly in recent years; long gone are the grainy black and white images with HD pictures now common. The next iteration of cameras will be motion-activated and able to distinguish between a cat running across the garden and a burglar. These are much more effective for helping police to identify burglars too.
Burglar alarms will also become smarter. In the future, it is possible that they could be linked to criminal databases and be able to identify people using face recognition software. Then, should a burglar enter – or attempt to – the alarm will be able to send data back to the local police.
It is also possible that the next generation of alarms could communicate with other systems nearby. For instance, if a suspicious person enters the garden of one property, other systems will be alerted and can start filming to gather data that could be instrumental in helping the authorities catch and convict the criminal.
Everyone wants to feel secure in their home, and it looks like that in the future technology will make homes more secure than ever before – without you feeling that you are living in Fort Knox. If you want advice on home security and systems installing, please give Inta-lock Locksmiths in Peterborough a call on …


Cebek LED Educational Project
The EDU series of educational modules from Cebek offer the student the chance to experiment, analyse and learn the basic knowledge of the chosen electronic theme. Their function is to complement the work of the teacher as well as to allow the experimentation of a theoretical theme evocated by the teacher. The comprehensive manual supplied with each module gives detailed information about each experiment and circuit diagrams. Guidance notes for the teacher are provided including operating characteristics, formulas and principles for each component used in the experiments.
The Cebek EDU-001 is a mini-laboratory with 6 experiments based on the operating modes and performance of LED's (Light Emitting Diodes).
Experiment 1. Voltage drop and luminosity control.
Experiment 2. Behaviour when the voltage direction is changed.
Experiment 3. Control and behaviour of a bicolour LED.
Experiment 4. How different kinds of LED's respond to control voltages.
Experiment 5. Different colours. Voltage drop and control voltage.
Experiment 6. Direct voltage and voltage in serial configuration.
Suitable for Students 14 years or over
Tel: 0191 251 4363
Fax: 0191 252 2296
All Prices are in Pounds Sterling and Exclude VAT


The Chip: How Two Americans Invented the Microchip and Launched a Revolution
Okay, Shackley & Co gave us the magnificent transistor in 1947, but how did we get from there to the general-purpose, spreadsheet-wrangling CPUs we have today? You can think of a transistor as a hose with an electric clamp. The clamp prevents water from flowing through it only when electricity goes to the clamp. If you stop sending electricity to the clamp, the flow of water resumes.
With the electric-clamp, we can now build circuits. Imagine a hose with two clamps next to each other, A and B:
If we send current through A, but not B, then put water through the hose, then
we won’t get any water out:
But if we put water through A and B, we’ll get water out the other side:
That’s called a “AND”-gate: a signal only passes through if both the ‘clamps’ (transistors) have power. We can construct other simple gates like OR-gates and NAND-gates this way. One of the modern heroes of computing from Bell Labs, Claude Shannon, wrote a thesis showing how we can build general-purpose machines by turning any problem into a combination of boolean functions. That means, we can solve any problem by putting enough transistors together, because we can form those gates with transistors. It means you can multiply numbers, add them together, so on, and so forth with transistors.
This worked well to create computers for a while, but as transistors shrunk and we continued to want them to get faster, a bottleneck crept in: wiring all those transistors together without error became near-impossible past a certain number of transistors. That threshold was reached in the 1960s. The problem was called “The Tyranny of Numbers.” The circuit-engineers couldn’t fathom how we’d put more transistors into our machines without error.
However, around this time, Jacky Kilby (Texas Instruments) and Robert Noyce (Fairchild Semiconductors) both independently came up with the idea of the integrated circuit: instead of wiring individual transistors together, put them on a silicon-oxide conductive surface. This meant no more tiny wiring. It meant much faster transistors, because they could get even smaller. The Tyranny of Numbers was a solved problem. Of course, since two people came up with it around the same time, legal hell ensued. That part is less interesting.
Robert Noyce, Goordon Moore, Andy Grove, and others left Fairchild Semiconducters where they had worked on integrated circuits and co-founded Intel. There, they made another magnificent leap into the world of microprocessors. Before this time, each customer wanted their own custom-designed chip. But now chips started becoming available that were general-purpose, like the Intel 8080.
And there you have it, stage for the Computer Age set!
Lovely books, especially in the heels of the one on Bell Labs.


Research Engineer — AI
WHAT WE’RE WORKING ON:
Large-scale machine learning
Robotics Collaborative systems
Image Processing and Computer Vision
Natural Language Processing
Internet of Things (IoT)
Algorithmic game theory and computational social choice.
WHO YOU ARE:
You share our values (below) and are looking for a company that has a solid mission.
You have strong analytical and quantitative skills.
You are familiar with techniques in Machine Learning (e.g. Deep Learning, Reinforcement learning, Unsupervised), Data Mining, Natural Language Processing, Computer Vision and related fields.
You have demonstrated the capability to review and write technical papers.
You can contribute to research that can be applied to AI Labs projects.
You have the ability to quickly prototype ideas and solve complex problems by adapting creative approaches.
You are a strong collaborator and communicator and you make the engineers around you grow and learn.
You have a Ph.D. or Master’s Degree in Computer Science, Artificial Intelligence, Mathematics, Physics, Chemical, Biomedical Engineering or related fields.
You have strong technical and programming skills.
You have at least 2 years experience with these programming languages: Java, Python, C++.
You are familiar with one or more of these Machine Learning frameworks: PyTorch, TensorFlow, Caffe.
You have experience in building distributed systems (based on Machine Learning methods) and server architectures with GPU.


HP Agilent Keysight 4193A 400KHz-110MHz Vector Impedance Meter
The HP 4193A vector impedance meter is a probe-type, fully automatic microprocessor-based test instrument designed for laboratory and production line applications. It measures and digitally displays impedance, magnitude, |Z|, and phase angle, θ, of active or passive circuits, in-circuit components, and discrete components at test frequencies from 400 kHz to 110 MHz with 10 mΩ (impedance) and 0.1 ° (phase) resolution. Frequency and measured impedance and phase are displayed on the front panel with 4-digit and 3½- digit resolution, respectively. Two measurement speeds are provided: Normal and High Speed. In Normal mode operation, the 4193A performs one measurement per second; in High Speed mode operation, it performs approximately seven measurements per second.
The built-in test synthesizer of the 4193A can be set with 1 kHz resolution to any frequency within the range of 400 kHz to 110 MHz for Spot measurements, or it can be automatically or manually swept in one of two sweep modes: Full and Partial. In Full Sweep mode, frequency is logarithmically swept from 400 kHz to 110 MHz, and measurement is made at 43 frequency points. In Partial Sweep mode, frequency is swept from the selected Start frequency to the selected Stop frequency. The number of measurement points is selectable at 100, 1000, or High Resolution. Frequency resolution is 1 kHz, 10 kHz, or 100 kHz.
Test frequency, auto-ranging, frequency sweep, introspective testing, display, triggering, analog, and HP-IB outputs, calculations, and all other instrument functions are microprocessor controlled.
The 4193A is equipped with complete HP-IB capabilities for remote control of all front-panel controls. It is also equipped with X-Y recorder outputs and pen lift control.
- Impedance magnitude measurement range: 10 Ω - 100 kΩ
- Impedance magnitude measurement resolution: 10 mΩ - 1 kΩ
- Impedance phase measurement range: 10 Ω - 100 kΩ
- Impedance phase measurement resolution: 0.1 °, 1 °
- Full frequency sweep: Test frequency is automatically and logarithmically swept from 400 kHz to 110 MHz. Measurement is made at the following 43 frequency points: 400 kHz, 455 kHz, 500 kHz, 600 kHz, 700 kHz, 800 kHz, 900 kHz, 1 MHz, 1.2 MHz, 1.4 MHz, 1.6 MHz, 1.8 MHz, 2 MHz, 2.333 MHz, 2.666 MHz, 3 MHz, 3.5 MHz, 4 MHz, 4.5 MHz, 5 MHz, 6 MHz, 7 MHz, 8 MHz, 9 MHz, 10 MHz, 12 MHz, 14 MHz, 16 MHz, 18 MHz, 20 MHz, 23.33 MHz, 26.66 MHz, 30 MHz, 35 MHz, 40 MHz, 45 MHz, 50 MHz, 60 MHz, 70 MHz, 80 MHz, 90 MHz, 100 MHz, 110 MHz
- Partial frequency sweep: Test frequency is automatically and linearly swept from the selected Start Freq to the selected Stop Freq. Number of measurement points is selectable with the Steps keys
- 100: One hundred measurement points
- 1000: One thousand measurement points
- High Resoln: Maximum step resolution for the selected sweep frequency range (Start to Stop) is automatically selected
- Measurement terminal: Two-terminal low-grounded probe, connected to instrument with a coaxial cable
- Reference plane: Probe tip without probe pin
- Trigger: Internal, external, or manual
- External test signal: External oscillator can be connected to obtain higher test frequency resolution
- Frequency: 400 kHz to 110 MHz
- Input level: 0 dBm to +5 dBm
- Input terminal: BNC connector
- Measurement time: ~1 s typical Normal Mode, ~150 ms typical High Speed Mode
- Frequency settling time: ~5 ms to 400 ms
- Ranging time: ~1.2 s
- Output impedance: ~25 Ω with 0.2 µF capacitance
- Self Test checks the basic operation of the 4193A and displays the test results each time the instrument is turned on or when the Self Test mode is set by the Self Test key or via the HP-IB
- HP-IB interface capability: SH1, AH1, T5, L4, SR1, RL1, DC1, DT1, E1


Learning and Perception
Many intelligent systems operate in a complex environment, and the tasks they must resolve require modeling of the environment. In some cases, when the environment is highly dynamic, problem solving can not be planned a priori and it involves collaborations between heterogeneous and autonomous processes (eg human and artificial actors). Another specificity of the considered applications is the lack of annotated corpus. We rely in this case on collaboration models between agents that achieve parts of the solution on the fly, allowing to advance in the resolution or learning on other parts of the data. Another part of our activity on environmental modeling is the application of classification techniques on raw data provided by sensors (typically a 3D point cloud provided by a sensor laser), and the recognition of moving objects with telemetric sensors and cameras, with a distinction between the recognition of generic object categories and recognition of individual object instances.
Finally, we are interested in the visualization of structured data. Ascending classification provides an effective aid in the analysis and modeling of data. However, when working with trees containing more than a few hundred terminal nodes, visual representation and exploration of the classification become difficult. This year we introduced a new visualization model, called “Stacked Trees”, which can simultaneously represent on the screen information coming from tens of thousands of objects.


You should be good at performing security configuration review of IT infrastructure components such as Servers, network devices.You should be able to perform checks for compliance with security software stacks within systems such as Anti-virus, SCCM agent, logging services, patch definition.
Should have 3-5 year experience in security configuration management of network, server and security software stacks.
You should be able to audit network device configurations such as Router, Switches, Wireless LAN Controllers (WLC).
should be able to do technical compliance and assessment of firewall, routers, Windows Server, File Server, O365 (Exchange Online, SharePoint Online etc), Windows Defender ATP
You should be able to conduct auditing of Active Directory Domain Services
Preferably in the field of Computer Science/ Computer Application/ Information & Technology/ Electronics & Communication Engineering.


The ZecureHive Industrial Monitor keeps manufacturing companies flowing through the use of effective technology. It allows manufacturing facilities to incorporate an attendance monitoring system to replace outdated time cards, ID cards for entry and keypads. It allows them to make sure that their workers are in safety compliance with the proper head and body gear issued for the job.
The system is scalable to include additional functions such as Night-vision, Heat-vision, Weapons Detection, Passive Audio Reminders and more.
This can help prevent issues with not being in compliance with safety laws, save time with workers entering a facility, adhere to social distancing guidelines in place which and many other customizable functions that can be included.
ZecureHive’s artificial intelligence (AI) industrial monitor system offers numerous advantages, enhancing productivity, efficiency, and safety in industrial environments. Here are some key benefits:
Predictive Maintenance: AI algorithms can analyze data from sensors and equipment to predict potential failures or malfunctions before they occur. By identifying early warning signs and recommending preemptive maintenance actions, AI-powered industrial monitors help minimize downtime and reduce maintenance costs.
Optimized Production Processes: AI-driven analytics can optimize production processes by analyzing real-time data on machine performance, workflow efficiency, and quality control metrics. By identifying opportunities for improvement and automating decision-making processes, AI enhances productivity and reduces waste.
Quality Assurance: AI-powered industrial monitors can perform automated inspections and quality checks on manufactured products, detecting defects or deviations from specifications with high accuracy and speed. This ensures consistent product quality and minimizes the risk of defective units reaching customers.
Resource Optimization: AI algorithms can optimize resource usage, such as energy, raw materials, and labor, by identifying inefficiencies and recommending adjustments to production schedules, equipment settings, and resource allocation. This reduces costs and environmental impact while maximizing output.
Safety Enhancement: AI-powered monitors can analyze data from safety sensors and cameras to detect potential hazards or unsafe conditions in the industrial environment. By issuing real-time alerts and recommending corrective actions, AI helps prevent accidents and ensures compliance with safety regulations.
Process Optimization: AI algorithms can optimize complex industrial processes by analyzing data from multiple sources, such as production equipment, supply chain logistics, and environmental conditions. By identifying bottlenecks, inefficiencies, and optimization opportunities, AI enables continuous process improvement and operational excellence.
Remote Monitoring and Control: AI-enabled industrial monitors allow operators and managers to remotely monitor and control industrial processes from anywhere with an internet connection. This enables proactive decision-making, rapid response to issues, and efficient resource allocation, even for distributed or remote facilities.
Data-Driven Insights: AI-powered analytics generate actionable insights from vast amounts of industrial data, enabling operators and managers to make informed decisions and drive continuous improvement initiatives. By uncovering hidden patterns, trends, and correlations, AI empowers organizations to optimize performance and competitiveness.
Scalability and Adaptability: AI-powered industrial monitors can scale to accommodate growing volumes of data and evolving business needs, making them suitable for large-scale industrial operations and dynamic manufacturing environments. They can adapt to changing requirements and integrate with existing systems to provide seamless functionality.
Regulatory Compliance: AI-powered monitors can help ensure compliance with industry regulations, quality standards, and environmental requirements by continuously monitoring key performance indicators and flagging deviations or non-conformities. This reduces the risk of fines, penalties, and legal liabilities while maintaining a reputation for reliability and compliance.
ZecureHive’s AI industrial monitor system unlocks new opportunities for optimization, innovation, and competitiveness in industrial operations. By leveraging advanced analytics, automation, and intelligence, organizations can achieve higher levels of efficiency, safety, and performance while driving sustainable growth and value creation.
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RIGOL Ultra Sigma 1.6Free
Old versionsSee all
Monitor and enhance the functionality of RIGOL products with a companion software assistant. Check the currently installed drivers for the detected device, download and install updates. Monitor standard operations and modify the processing and switching actions.
RIGOL Ultra Sigma is a software which allows you to configure your product. The application comes in a bundle containing: a manual, a driver for operating the product and the software itself. The application is free to download, install and use. All that is necessary is to connect uour product at the computer through an USB port and you are ready to go.


World Intelligent Farming
Join us and global executives for our first annual World Intelligent Farming Summit on September 3rd – 4th in Berlin, Germany. The summit will focus on technological advancements and real-world applications of smart sensors, precision agriculture, vertical farming, industrial monitoring, as well as UAV and robotics applications in agriculture.
This hybrid event will bring together agribusiness professionals from global brands to discuss the use of AI and machine learning technologies to improve company performance in the digital era. Gain exceptional knowledge on the latest trends in intelligent farming and how other technologies are rapidly changing the farming and agriculture industry.
This is an invaluable 2-day opportunity to network with industry leaders and discuss all of the latest AgriTech solutions to drive your business forward.


The television age has been with us now for over 80 years and during that time it has expanded and been perfected in a myriad different ways, with colour pictures arriving around 1951, then a progression through cable services and the full digital age.
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We’ve come a long way, baby, from the days of the first television broadcast. Using a mechanical TV he’d created and hobbled together from household bits and pieces Scottish inventor John Logie Baird was the first to broadcast a television signal at a demonstration at London’s Royal Institute in 1926. It was the beginning of […]