tag: AI

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

Data Centers Turn To New Memories
By Ann Mutschler - 12 Oct, 2017 - Comments: 3

DRAM extensions and alternatives are starting to show up inside of data centers as the volume of data being processed, stored and accessed continues to skyrocket. This is having a big impact on the architecture of data centers, where the goal now is to move processing much closer to the data and to reduce latency everywhere. Memory has always been a key piece of the Von Neumann compute archi... » read more

What’s Next for the IoT?
By Jeff Dorsch - 05 Oct, 2017 - Comments: 0

The Internet of Things continues to evolve, attempting to overcome its poor reputation for cybersecurity and making the case for wider adoption, especially by enterprises. Consumer IoT, largely represented in smart-home automation, remains a market being targeted by Amazon, Apple, Google, LG Electronics, Samsung Electronics, and other technology titans. The big bucks are in [getkc id="78" k... » read more

Starting Point Is Changing For Designs
By Ed Sperling - 04 Oct, 2017 - Comments: 0

The starting point for semiconductor designs is shifting. What used to be a fairly straightforward exercise of choosing a processor based on power or performance, followed by how much on-chip versus off-chip memory is required, has become much more complicated. This is partly due to an emphasis on application-specific hardware and software solutions for markets that either never existed befo... » read more

Verifying AI, Machine Learning
By Ed Sperling - 28 Sep, 2017 - Comments: 0

[getperson id="11306" comment="Raik Brinkmann"], president and CEO of [getentity id="22395" e_name="OneSpin Solutions"], sat down to talk about artificial intelligence, machine learning, and neuromorphic chips. What follows are excerpts of that conversation. SE: What's changing in [getkc id="305" kc_name="machine learning"]? Brinkmann: There’s a real push toward computing at the edge. ... » read more

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