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Caffe* Optimized for Intel® Architecture: Applying Modern Code Techniques

This paper demonstrates a special version of Caffe* — a deep learning framework originally developed by the Berkeley Vision and Learning Center (BVLC) — that is optimized for Intel® architecture.
Автор: Последнее обновление: 06.07.2019 - 16:40
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Brain Development Simulation, 300x Faster

Автор: Andrey Vladimirov Последнее обновление: 04.07.2019 - 17:45
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IoT JumpWay Intel® NUC DE3815TYKE OpenFace TASS Computer Vision

Do you want to turn your Intel® NUC (Next Unit of Computing) DE3815TYKE – or any Linux* box running Ubuntu* – into an artificially intelligent, IoT-connected CCTV Hub? Then, this tutorial is for you!
Автор: Milton-Barker, Adam Последнее обновление: 29.03.2019 - 14:28
Article

Vector API Developer Program for Java* Software

This article introduces Vector API to Java* developers. It shows how to start using the API in Java programs, and provides examples of vector algorithms. It provides step-by-step details on how to build the Vector API and build Java applications using it. It provides the location for downloadable binaries for Project Panama binaries.
Автор: Neil V. (Intel) Последнее обновление: 06.07.2019 - 16:30
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Using Wind River® Simics® to Inspire Teachers in Costa Rica

Simics* is a great teaching tool, at all levels of the software and hardware stack, down to the internal logic of a hardware design.
Автор: Engblom, Jakob (Intel) Последнее обновление: 01.08.2019 - 11:41
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Intel® AI Academy: The Future of AI. For All.

Автор: Jaclyn J. (Intel) Последнее обновление: 24.01.2018 - 15:35
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AI DevCamp:Chicago

I write this as an observer of something I had yet to witness.

Автор: Karl Fezer (Intel) Последнее обновление: 14.08.2018 - 16:20
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Using Clear Linux* for Teaching Virtual Platforms

For Simics® 

Автор: Engblom, Jakob (Intel) Последнее обновление: 14.06.2019 - 06:09