System Bits: June 6


Silicon nanosheet-based builds 5nm transistor To enable the manufacturing of 5nm chips, IBM, GLOBALFOUNDRIES, Samsung, and equipment suppliers have developed what they say is an industry-first process to build 5nm silicon nanosheet transistors. This development comes less than two years since developing a 7nm test node chip with 20 billion transistors. Now, they’ve paved the way for 30 billi... » read more

What’s Next In Neural Networking?


Faster chips, more affordable storage, and open libraries are giving neural network new momentum, and companies are now in the process of figuring out how to optimize it across a variety of markets. The roots of neural networking stretch back to the late 1940s with Claude Shannon’s Information Theory, but until several years ago this technology made relatively slow progress. The rush towar... » read more

System Bits: April 18


RISC-V errors Princeton University researchers have discovered a series of errors in the RISC-V instruction specification that now are leading to changes in the new system, which seeks to facilitate open-source design for computer chips. In testing a technique they created for analyzing computer memory use, the team found over 100 errors involving incorrect orderings in the storage and retr... » read more

Biz Talk: ASICs


eSilicon CEO [getperson id="11145" comment="Jack Harding"] talks about the future of scaling, advanced packaging, the next big things—automotive, deep learning and virtual reality—and the need for security. [youtube vid=leO8gABABqk]   Related Stories Executive Insight: Jack Harding (Aug 2016) eSilicon’s CEO looks at industry consolidation, competition, China’s impact, an... » read more

What Does AI Really Mean?


Seth Neiman, chairman of eSilicon, founder of Brocade Communications, and a board member and investor in a number of startups, sat down with Semiconductor Engineering to talk about advances in AI, what's changing, and how it ultimately could change our lives. What follows are excerpts of that conversation. SE: How far has AI progressed? Neiman: We’ve been working with AI since the mid 1... » read more

System Bits: Jan. 31


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


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?


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


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


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

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