tag: deep learning

System Bits: Jan. 31
By Ann Mutschler - 31 Jan, 2017 - Comments: 0

Optimizing code To address the issue of code explicitly written to take advantage of parallel computing usually losing the benefit of compilers’ optimization strategies, MIT Computer Science and Artificial Intelligence Laboratory researchers have devised a new variation on a popular open-source compiler that optimizes before adding the code necessary for parallel execution. Charles E. Lei... » read more

Rush Hour On The Technology Roadmap
By Mike Gianfagna - 30 Jan, 2017 - Comments: 0

Starting this week, the International Solid State Circuits Conference (ISSCC) will commence at the Marriott in downtown San Francisco. This prestigious conference showcases the latest semiconductor innovations from around the world. Looking at the advance program, one can’t help but notice a shift in the work presented. The conference theme this year is: “Intelligent Chips for a Smart World... » read more

What’s Missing In Deep Learning?
By Ann Mutschler - 12 Jan, 2017 - Comments: 0

It is impossible today to be unaware of deep learning/machine learning/neural networks -- even if what it all entails is not even clear yet. Someone who is intimately familiar with this area, and has some thoughts on this is Chris Rowen, founder of Tensilica (now part of Cadence), who is now a self-described hat juggler. He is still active Cadence several days a month, working technically on... » read more

Things To Come This Year
By Jeff Dorsch - 05 Jan, 2017 - Comments: 0

What will happen in the Internet of Things during 2017? No one truly knows. Some 2016 trends can be teased out to provide prognostications for the 12 months ahead. Parks Associates released a white paper in December, “Top 10 Consumer IoT Trends in 2017,” which notes that U.S. broadband households have an average of more than eight connected computing, entertainment, and mobile devices, a... » read more

System Bits: Nov. 8
By Ann Mutschler - 08 Nov, 2016 - Comments: 0

Optimizing multiprocessor programs for non-experts While ‘dynamic programming’ is a technique that yields efficient solutions to computational problems in economics, genomic analysis, and other fields, adapting it to multicore chips requires a level of programming expertise that few economists and biologists have. But researchers from MIT’s Computer Science and Artificial Intelligence La... » read more

Should Processing Take Place At End Nodes?
By Ann Mutschler - 03 Nov, 2016 - Comments: 0

Last week at ARM TechCon — which I found extremely interesting for the deep technical content — there was much discussion around where processing should happen in our connected world. (I’m really trying to stay away from the nebulous term, ‘IoT.’) Some believe the processing should happen at the edge nodes, while others believe it should all take place in the data center; I’ve ev... » read more

Ready For Social Robots?
By Mark LaPedus - 03 Nov, 2016 - Comments: 0

After years of steady growth, innovation and sometimes disappointment, the robotics market is heating up on several fronts amid some new breakthroughs in the arena. Both the industrial and service robotics markets are hot. In addition, the consumer market is seeing a new level of interest, as the industry is invaded by the next wave of so-called personal assistant robots or social robots for... » read more

System Bits: Nov. 1
By Ann Mutschler - 01 Nov, 2016 - Comments: 0

There is a lurking malice in cloud hosting services A team of researchers from the Georgia Institute of Technology, Indiana University Bloomington, and the University of California Santa Barbara has found — as part of a study of 20 major cloud hosting services — that as many as 10 percent of the repositories hosted by them had been compromised, with several hundred of the ‘buckets’ act... » read more

Making Waves In Deep Learning
By Barry Pangrle - 12 Oct, 2016 - Comments: 0

A little more than two and a half years ago I wrote Making Waves in Low-Power Design, an article about a company (at the time) called Wave Semiconductor. Fast forward the the recent Linley Processor Conference, Wave Computing’s CTO Chris Nicol gave the audience an update on the company’s eagerly awaited and soon (planned for October) to be taped-out 16K-core dataflow processor for deep lea... » read more

Building Chips That Can Learn
By Ed Sperling - 29 Sep, 2016 - Comments: 0

The idea that devices can learn optimal behavior rather than relying on more generalized hardware and software is driving a resurgence in artificial intelligence, machine leaning, and cognitive computing. But architecting, building and testing these kinds of systems will require broad changes that ultimately could impact the entire semiconductor ecosystem. Many of these changes are wel... » read more

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