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Announcing the Intel® Distribution for Python* Beta

The Beta for Intel® Distribution for Python* 2017 has been available for 1 month and I wanted to share some of our experiences.

Автор: Robert C. (Intel) Последнее обновление: 31.12.2018 - 16:12
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Top Intel® Software Innovators of 2016

The Intel® Software Innovator program has been very active for 2016 with growing support for developers in North America, Brazil, Europe, India, Asia Pacific, and China.

Автор: Warner, Elizabeth (Intel) Последнее обновление: 20.06.2019 - 10:40
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Top Ten Intel® Software Developer Stories | April

April showers bring you Python* code samples, a recap of GDC, machine learning in retail and an update to Intel® Threading Building Blocks. Read on!
Автор: Carman, Vicky (Intel) Последнее обновление: 21.06.2019 - 15:53
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Intel and Facebook* Collaborate to Boost Caffe*2 Performance on Intel CPU’s

Автор: Andres Rodriguez (Intel) Последнее обновление: 01.04.2019 - 11:10
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Accelerate Computer Vision & Deep Learning with OpenVINO™ toolkit

Автор: админ Последнее обновление: 21.03.2019 - 14:55
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Accelerate Innovations of Unified Data Analytics and AI at Scale

Intel has developed new open source software technologies that unify data analytics and AI an integrated workflow: BigDL and Analytics Zoo
Автор: Jason Dai (Intel) Последнее обновление: 13.06.2019 - 15:49
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Intel® Data Analytics Acceleration Library

The Intel® Data Analytics Acceleration Library (Intel® DAAL) helps speed big data analytics by providing highly optimized algorithmic building blocks for all data analysis stages (Pre-processing, Transformation, Analysis, Modeling, Validation, and Decision Making) for offline, streaming and distributed analytics usages. It’s designed for use with popular data platforms including Hadoop*, Spark*,...
Автор: James R. (Blackbelt) Последнее обновление: 27.08.2019 - 13:50
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How Intel® Xeon Phi™ Processors Benefit Machine Learning/Deep Learning Apps and Frameworks

Machine learning can take very large amounts of data to predict possible outcomes with a high degree of accuracy. The second-generation Intel® Xeon Phi processor has the processor performance and memory bandwidth to address complex machine learning applications.
Автор: Pradeep Dubey (Intel) Последнее обновление: 15.10.2019 - 18:24