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Accelerate Computer Vision & Deep Learning with OpenVINO toolkit

@machinelearnbot

Just released as part of Intel's Vision products lineup, Intel announces the new OpenVINO toolkit (Open Visual Inference and Neural Network Optimization, and formerly the Intel Computer Vision SDK) to help developers bring vision intelligence into their applications from edge to cloud. The toolkit is a free download that helps fast-track development of high-performance computer vision and deep learning inference solutions, and deliver fast and efficient deep learning workloads across multiple types of Intel platforms (CPU, CPU with integrated graphics, FPGA, and Movidius vision processing units (VPUs). Vision systems hold incredible promise to change the world and help us solve problems--whether they're making homes safer or discovering new medical cures--affording great opportunities for developers. The toolkit has a common API and is based on common development standards, such as OpenCL, OpenCV and OpenVX. Components to increase performance of Intel Processor Graphics for Linux*, including the Intel Media SDK open source version and OpenCL graphics drivers and runtimes.


Intel Makes a Move into Vision Intelligence IoT Business

@machinelearnbot

Intel plays a lot of roles in the IT business besides making processors with microscopic transistors for servers, PCs, the internet of things, and mobile devices. It also makes security hardware and software, memory and programmable enterprise solutions, 5G connectivity hardware and software and a list of others too long to note here. But one of the greenest fields coming into the venerable chipmaker's view here in mid-2018 has to do with what's called "the edge"--that mysterious, nebulous and more distributed area outside the data center where a lot of computing is starting to happen and will be happening more and more as time goes on. We're hearing a lot about this lately, largely because our devices (smartphones, laptops, tablets, IoT devices) on the fringes of centralized systems can hold much more information and do more with it than in years past. Intel wants to make more and more of the infrastructure for these devices and systems.


IoT-Enhanced Processors Increase Performance, AI, Security

#artificialintelligence

What's New: Today at the Intel Industrial Summit 2020, Intel announced new enhanced internet of things (IoT) capabilities. The 11th Gen Intel Core processors, Intel Atom x6000E series, and Intel Pentium and Celeron N and J series bring new artificial intelligence (AI), security, functional safety and real-time capabilities to edge customers. With a robust hardware and software portfolio, an unparalleled ecosystem and 15,000 customer deployments globally, Intel is providing robust solutions for the $65 billion edge silicon market opportunity by 2024. "By 2023, up to 70% of all enterprises will process data at the edge.1 11th Gen Intel Core processors, Intel Atom x6000E series, and Intel Pentium and Celeron N and J series processors represent our most significant step forward yet in enhancements for IoT, bringing features that address our customers' current needs, while setting the foundation for capabilities with advancements in AI and 5G." –John Healy, Intel vice president of the Internet of Things Group and general manager of Platform Management and Customer Engineering Why It's Important: Intel works closely with customers to build proofs of concept, optimize solutions and collect feedback along the way. Innovations delivered with 11th Gen Intel Core processors, Intel Atom x6000E series, and Intel Pentium and Celeron N and J series processors are a response to challenges felt across the IoT industry: edge complexity, total cost of ownership and a range of environmental conditions.


Intel launches toolkit to bring computer vision to the edge ZDNet

@machinelearnbot

Intel on Wednesday is unveiling OpenVINO, a toolkit designed to easily bring computer vision and deep-learning inference to vision applications at the edge. The OpenVINO (Open Visual Inference & Neural network Optimization) toolkit enables developers to build and train AI models in the cloud -- on popular frameworks such as TensorFlow, MXNet, and Caffe -- and deploy them across a broad range of products. It takes advantage of Intel's investments in different AI accelerator technologies, including CPUs, field programmable gate arrays (FPGAs), and Movidius vision processing units (VPUs). "There's more than one architecture for intelligence," Intel's Adam Burns told ZDNet. OpenVINO provides a set of optimization capabilities and a runtime engine that allows developers to run their model on the architecture that best suits their needs, whether it's a highly-tuned FPGA, an efficient VPU, or another choice.


Intel launches toolkit to bring computer vision to the edge

ZDNet

Intel on Wednesday is unveiling OpenVINO, a toolkit designed to easily bring computer vision and deep learning inference to vision applications at the edge. The OpenVINO (Open Visual Inference & Neural network Optimization) toolkit enables developers to build and train AI models in the cloud -- on popular frameworks such as TensorFlow, MXNet and Caffe -- and deploy them across a broad range of products. It takes advantage of Intel's investments in different AI accelerator technologies, including CPUs, field programmable gate arrays (FPGAs) and Movidius vision processing units (VPUs). "There's more than one architecture for intelligence," Intel's Adam Burns told ZDNet. OpenVINO provides a set of optimization capabilities and a runtime engine that allows developers to run their model on the architecture that best suits their needs, whether it's a highly-tuned FPGA, an efficient VPU, or another choice.