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2nd Generation Intel Xeon Scalable Processors Bring Powerful Deep Learning Capabilities to Transform Your Business with A.I.

This blog post was originally published at Intel's website. It is reprinted here with the permission of Intel. From enabling security throughout a city, to the rapid identification and classification of complex medical imaging data, Intel is accelerating the value of IoT. As the billions of connected things generate massive data at ever-increasing rates, the […]

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Inference Performance Boost with Seldon on Intel Xeon Scalable Processors

This blog post was originally published at Intel's website. It is reprinted here with the permission of Intel. Many AI applications have data pipelines that include several processing steps when executing inference operations. These steps can include data transformation, inference execution and conditional processing. The Seldon Core* open source machine learning framework facilitates management of

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CPU Inference Performance Boost with “Throughput” Mode in the Intel Distribution of OpenVINO Toolkit

This blog post was originally published at Intel's website. It is reprinted here with the permission of Intel. One of the biggest challenges to AI can be eliciting high-performance deep learning inference that runs at real-world scale, leveraging existing infrastructures. Combining efficiency and flexibility, the Intel® Distribution of OpenVINO™ toolkit (a developer tool suite that

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An Introduction to the NVIDIA Optical Flow SDK

This blog post was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. NVIDIA’s Turing GPUs  introduced a new hardware functionality for computing optical flow between images with very high performance. The Optical Flow SDK 1.0 enables developers to tap into the new optical flow functionality. You can download the Optical Flow

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New Computer Vision Tool Accelerates Annotation of Digital Images and Video

This blog post was originally published at Intel's website. It is reprinted here with the permission of Intel. Data scientists need annotated data (and lots of it) to train the deep neural networks (DNNs) at the core of AI workflows. Obtaining annotated data, or annotating data yourself, is a challenging and time-consuming process. For example,

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AI My Ride: Startup Revs Up Vehicle Videos to Spot Potholes

This blog post was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. Christoph Mertz wants to fix your bumpy ride. His solution — using AI to detect potholes — came as a lightbulb moment inspired by working on autonomous vehicle projects at Carnegie Mellon University. Mertz is now the

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Pop Star: At NVIDIA, Popcorn Delivery Robot Bears Kernel Innovation

This blog post was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. At NVIDIA, the robots are being taught to weave their way through the workplace. It helps that, as Ankhit, an NVIDIA Linux systems administrator discovered, they come bearing popcorn. Moments after placing an order, via Slack, a

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