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HomeNeural Networks

Neural Networks

AI

Deep Learning Architectures Hinge on Hybrid Memory Cube

September 12, 2016 Nicole Hemsoth Prickett 4

We have heard about a great number of new architectures and approaches to scalable and efficient deep learning processing that sit outside of the standard CPU, GPU, and FPGA box and while each is different, many are leveraging a common element at all-important memory layer. …

AI

IARPA Project Targets Hidden Algorithms of the Brain

February 10, 2016 Nicole Hemsoth Prickett 0

Whether in the brain or in code, neural networks are shaping up to be one of the most critical areas of research in both neuroscience and computer science. …

AI

Emergent Chip Vastly Accelerates Deep Neural Networks

December 8, 2015 Nicole Hemsoth Prickett 3

Stanford University PhD candidate, Song Han, who works under advisor and networking pioneer, Dr. …

AI

GPU Platforms Set to Lengthen Deep Learning Reach

December 7, 2015 Nicole Hemsoth Prickett 1

For Google, Baidu, and a handful of other hyperscale companies that have been working with deep neural networks and advanced applications for machine learning well ahead of the rest of the world, building clusters for both the training and inference portions of such workloads is kept, for the most part, a well-guarded secret. …

AI

Why The Golden Age Of Machine Learning is Just Beginning

October 20, 2015 Nicole Hemsoth Prickett 2

Even though the buzz around neural networks, artificial intelligence, and machine learning has been relatively recent, as many know, there is nothing new about any of these methods. …

AI

The Black Box Problem Closes in on Neural Networks

September 7, 2015 Nicole Hemsoth Prickett 5

Explaining the process of how any of us might have arrived to a particular conclusion or decision by verbally detailing the variables, weights, and conditions that our brains navigate through to arrive at an answer can be complex enough. …

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