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Igniting the Next Generation of Deep Learning

January 6th, 2021 | Connected Social Media Syndication

	Increased processing power, massive amounts of data, and the development of more advanced algorithms have brought deep learning to the forefront, and TensorFlow has emerged as one of the world’s most popular machine learning frameworks. Penporn Koanantakool, Google Senior Software [See the full post…]
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Categories: Artificial Intelligence, Audio Podcast, Code Together, Intel Tags: advanced algorithms, artificial intelligence, autonomous vehicles, AVX-2, AVX-512, bfloat16, Cascade Lake, Cooper Lake, deep learning, Deep Neural Network Library, DeepVariant, DPC++, Eigen, framework, fraud detection, Google, image recognition, Intel, machine learning, matrix multiplication, medical diagnosis, medical treatment, natural language processing, neural network, object recognition, oneAPI, oneDNN, Open Source, Skylake, TensorFlow, vector neural network instructions, VNNI, Xeon

Accelerating AI Inference with Intel Deep Learning Boost – Intel Chip Chat – Episode 632

February 12th, 2019 | Connected Social Media Syndication

	In this Intel Chip Chat audio podcast with Allyson Klein: When Intel previewed an array of data-centric innovations in August 2018, one that captured media attention was Intel Deep Learning Boost, an embedded AI accelerator in the CPU designed [See the full post…]
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Categories: Artificial Intelligence, Audio Podcast, Intel, Intel Chip Chat Tags: AI, Allyson Klein, Audio Podcast, Cascade Lake, Chip Chat, Intel, Intel Advanced Vector Extensions 512, Intel AVX-512, Intel Deep Learning Boost, Intel DL Boost, Intel Optimized Caffe ResNet-50, Intel Xeon Scalable processors, Jason Kennedy, vector neural network instructions, VNNI