tag: AI

Week In Review: Design
By Linda Christensen - 22 Nov, 2017 - Comments: 0

Acquisitions Marvell signed a definitive agreement to buy Cavium for roughly $6 billion. The deal is expected to close in mid-2018. The Cavium deal fits squarely on the cloud side and gives Marvell a much bigger reach into enterprise networking and infrastructure, as well as some developing markets. Siemens paid an undisclosed price to buy Solido Design Automation, which tracks variation i... » read more

Quantum Madness
By Ed Sperling - 09 Nov, 2017 - Comments: 3

The race is on to commercialize quantum computing for everything from autonomous vehicles to supercomputers for hire. IBM has been working on a 50-qubit computer. Intel and QuTech, its Dutch research partner, showed off a 17-qubit test chip last month. And Alphabet, Google's parent company, is developing a 20-qubit computer. These numbers sound paltry compared to the billions of transistors ... » read more

The Next Phase Of Machine Learning
By Kevin Fogarty - 09 Nov, 2017 - Comments: 0

Machine learning is all about doing complex calculations on huge volumes of data with increasing efficiency, and with a growing stockpile of success stories it has rapidly evolved from a rather obscure computer science concept into the go-to method for everything from facial recognition technology to autonomous cars. [getkc id="305" kc_name="Machine learning"] can apply to every corporate fu... » read more

China’s Ambitious Automotive Plans
By Ed Sperling - 08 Nov, 2017 - Comments: 1

China has big plans for cars—and other related markets. After years of trailing behind Japanese, European and U.S.-based carmakers in automotive technology, reliability, status, and even market share within its own political borders, the country is making a concerted push into internally developed and manufactured assisted- and self-driving vehicles. The strategy plays out well for China o... » read more

Let’s Be Smart About Artificial Intelligence
By Judy Davies - 06 Nov, 2017 - Comments: 0

Technology visionaries no less than Stephen Hawking and Elon Musk have called artificial intelligence (AI) the greatest threat facing the future of mankind. But unless we all wind up running for our lives from a “Terminator” killing machine, don’t the benefits of AI far outweigh the downsides? Looking past purely mathematic calculators from the abacus to Charles Babbage’s difference ... » read more

ADAS Design Shifts Toward Hardware
By Kurt Shuler - 30 Oct, 2017 - Comments: 0

Autonomous driving will challenge system-level designers like never before with the simultaneous integration of three critical areas: Supercomputing complexity, real-time embedded performance, and functional safety. To get there, developers will need to shift their focus from a software-centric approach toward custom hardware development to produce a system that meets the safety, cost, and powe... » read more

Move Data Or Process In Place?
By Brian Bailey - 26 Oct, 2017 - Comments: 0

Should data move to available processors or should processors be placed close to memory? That is a question the academic community has been looking at for decades. Moving data is one of the most expensive and power-consuming tasks, and is often the limiter to system performance. Within a chip, Moore's Law has enabled designers to physically move memory closer to processing, and that has rema... » read more

How Neural Networks Think (MIT)
By Technical Paper Link - 18 Oct, 2017 - Comments: 0

Source: MIT’s Computer Science and Artificial Intelligence Laboratory, David Alvarez-Melis and Tommi S. Jaakkola Technical paper link MIT article General-purpose neural net training Artificial-intelligence research has been transformed by machine-learning systems called neural networks, which learn how to perform tasks by analyzing huge volumes of training data, reminded MIT research... » read more

Targeting And Tailoring eFPGAs
By Ed Sperling - 17 Oct, 2017 - Comments: 0

Robert Blake, president and CEO of Achronix, sat down with Semiconductor Engineering to discuss what's changing in the embedded FPGA world, why new levels of customization are so important, and difficulty levels for implementing embedded programmability. What follows are excerpts of that discussion. SE: There are numerous ways you can go about creating a chip these days, but many of the prot... » read more

New Materials For Computing
By Ed Sperling - 12 Oct, 2017 - Comments: 0

The U.S. Department of Energy rolled out a new program to develop materials for "extreme conditions" for high-performance computing, setting the stage for much more mobile versions of AI and machine learning. This effort, if successful, has interesting implications on a number of levels. For one, the DOE's mandate includes everything from energy security to weaponry, and high-performance com... » read more

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