Executive Insight: Aart de Geus


Aart de Geus, chairman and co-CEO of [getentity id="22035" e_name="Synopsys"], sat down with Semiconductor Engineering to discuss machine learning and big data, the race toward autonomous vehicles, systems vs. chips, software vs. hardware, and the future of EDA. What follows are excerpts of that conversation. SE: The whole tech world is buzzing over data and how it gets used in areas such as... » read more

Neural Adaptive Video Streaming with Pensieve (MIT-CSAIL)


Source:  MIT-CSAIL Hongzi Mao, Ravi Netravali, Mohammad Alizadeh For technical paper link, click here  and MIT's news here Machine-learning system for smoother streaming To combat the frustration of video buffering or pixelation, researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed “Pensieve,” an artificial intelligence system that ... » read more

System enables large speedups — as much as 88-fold — on common parallel-computing algorithms (MIT)


Source: MIT/ CSAIL: Suvinay Subramanian, Mark C. Jeffrey, Maleen Abeydeera, Hyun Ryong Lee, Victor A. Ying, Joel Emer, Daniel Sanchez As is commonly known, the chips in most modern desktop computers have four cores or processing units, which can run different computational tasks in parallel, but that the chips of the future could have dozens or even hundreds of cores, and taking advantage o... » read more

The Darker Side Of Machine Learning


Machine learning can be used for many purposes, but not all of them are good—or intentional. While much of the work underway is focused on the development of machine learning algorithms, how to train these systems and how to make them run faster and do more, there is a darker side to this technology. Some of that involves groups looking at what else machine learning can be used for. So... » read more

Multi-Robot Path Planning For Swarm of Robots that Can Both Fly, Drive (MIT)


Source: MIT/CSAIL.Brandon Araki, John Strang, Sarah Pohorecky, Celine Qiu, Tobias Naegeli, and Daniela R Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) propose that if robots could be programmed to both walk and take flight, it would open up possibilities including machines that could fly into construction areas or disaster zones that aren’t near ... » 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

The Multiplier And The Singularity


In 1993, Vernor Vinge, a computer scientist and science fiction writer, first described an event called the Singularity—the point when machine intelligence matches and then surpasses human intelligence. And since then, top scientists, engineers and futurists have been asking just how far away we are from that event. In 2006, Ray Kurzweil published a book, "The Singularity is Near," in whic... » read more

Alexa, Can You Help Me Build A Better SoC?


Consumers have fallen love with clever products like Amazon Echo, Nest, Google maps, Waze and Zillow that somehow make life a little easier and more fun. The underlying technology that makes these apps so rich and useful is machine learning and it seems to be showing up everywhere. Maybe it’s time to ask, “Alexa, can you help me build a better SoC?” The Next Frontier in SoC Architectur... » read more

Toward Better Acoustic Resonators


After some lively conversations with the top researchers in MEMS acoustic resonators during the 2014 Sensors and Actuators Workshop (familiarly known to the MEMS community as “Hilton Head”), we set to work on a simulation solution to better serve researchers and commercial designers. Acoustic resonators for RF filtering have received a lot of attention in the past few years as the number... » read more

Convolutional Neural Networks Power Ahead


While the term may not be immediately recognizable, convolutional neural networks (CNNs) are already part of our daily lives—and they are expected to become even more significant in the near future. [getkc id="261" kc_name="Convolutional neural networks"] are a form of machine learning modeled on the way the brain's visual cortex distinguishes one object from another. That helps explain wh... » read more

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