deep learning Archives - Page 6 of 8

Knights Landing Proves Solid Ground for Intel’s Stake in Deep Learning

June 21, 2016 Nicole Hemsoth Prickett 7

Intel has finally opened the first public discussions of its investment in the future of machine learning and deep learning and while some might argue it is a bit late in the game with its rivals dominating the training market for such workloads, the company had to wait for the official rollout of Knights Landing and extensions to the scalable system framework to make it official—and meaty enough to capture real share from the few players doing deep learning at scale. …

What Will GPU Accelerated AI Lend to Traditional Supercomputing?

June 20, 2016 Nicole Hemsoth Prickett 1

This week at the International Supercomputing Conference (ISC ’16) we are expecting a wave of vendors and high performance computing pros to blur the borders between traditional supercomputing and what is around the corner on the application front—artificial intelligence and machine learning. …

Former NASA Exec Brings Stealth Machine Learning Chip to Light

June 6, 2016 Nicole Hemsoth Prickett 1

Chip startups come and go. Generally, we cover them because of novel architectures or potential for specific applications. …

Google Takes Unconventional Route with Homegrown Machine Learning Chips

May 19, 2016 Stacey Higginbotham 5

At the tail end of Google’s keynote speech at its developer conference Wednesday, Sundar Pichai, Google’s CEO mentioned that Google had built its own chip for machine learning jobs that it calls a Tensor Processing Unit, or TPU. …

Climate Research Pulls Deep Learning Onto Traditional Supercomputers

May 18, 2016 Nicole Hemsoth Prickett 1

Over the last year, stories pointing to a bright future for deep neural networks and deep learning in general have proliferated. …

Baidu Eyes Deep Learning Strategy in Wake of New GPU Options

April 22, 2016 Nicole Hemsoth Prickett 0

This month Nvidia bolstered its GPU strategy to stretch further into deep learning, high performance computing, and other markets, and while there are new options to consider, particularly for the machine learning set, it is useful to understand what these new arrays of chips and capabilities mean for users at scale. …

Future Cray Clusters to Storm Deep Learning

April 18, 2016 Nicole Hemsoth Prickett 2

Supercomputer maker Cray might not roll out machines for deep learning anytime in 2016, but like other system vendors with deep roots in high performance computing, which leverages many of the same hardware elements (strong interconnect and GPU acceleration, among others), they are seeing how to loop their expertise into a future where machine learning rules. …

Nvidia Lead Details Future Convergence of Supercomputing, Deep Learning

April 15, 2016 Nicole Hemsoth Prickett 0

Deep learning could not have developed at the rapid pace it has over the last few years without companion work that has happened on the hardware side in high performance computing. …

Boosting Deep Learning with the Intel Scalable System Framework

April 14, 2016 Rob Farber 3

Training ‘complex multi-layer’ neural networks is referred to as deep-learning as these multi-layer neural architectures interpose many neural processing layers between the input data and the predicted output results – hence the use of the word deep in the deep-learning catchphrase. …

OpenAI, Hyperscalers See GPU Accelerated Future for Deep Learning

April 6, 2016 Nicole Hemsoth Prickett 1

As a former research scientist at Google, Ian Goodfellow has had a direct hand in some of the more complex, promising frameworks set to power the future of deep learning in coming years. …