Fear Of Machines

In the tech industry, the main concern over the past five decades has been about what machines could not do. Now the big worry is what they can do. From the outset of the computer age, the biggest challenges were uptime, ease of use, reliability, and as devices became more connected, the quality and reliability of that connection. As the next phase of machines begins, those problems have bee... » read more

System Bits: Sept. 6

How might AI affect urban life in 2030? In an ongoing project hosted by Stanford University to inform societal deliberation and provide guidance on the ethical development of smart software, sensors and machines, a panel of academic and industrial thinkers has looked ahead to 2030 to forecast how advances in artificial intelligence (AI) might affect life in a typical North American city. Th... » read more

Plotting The Next Semiconductor Road Map

The semiconductor industry is retrenching around new technologies and markets as Moore's Law becomes harder to sustain and growth rates in smart phones continue to flatten. In the past, it was a sure bet that pushing to the next process node would provide improvements in power, performance and cost. But after 22nm, the economics change due to the need for multi-patterning and finFETs, and th... » read more

System Bits: May 24

Controlling autonomous vehicles in extreme conditions In an approach that could help make self-driving cars of the future safer under hazardous road conditions, a Georgia Institute of Technology research team devised a way to help keep a driverless vehicle under control as it maneuvers at the edge of its handling limits. According to the team comprised of researchers from Georgia Tech’s D... » read more

The Week In Review: Manufacturing

Chipmakers Lawrence Livermore National Laboratory (LLNL) has purchased a brain-inspired supercomputing platform for deep learning developed by IBM Research. LLNL will receive a 16-chip TrueNorth system from IBM. A single TrueNorth processor from IBM consists of 5.4 billion transistors wired together to create an array of 1 million digital neurons. The chip is fabricated based on a 28nm LPP pro... » read more

Enabling Self-Driving Cars

To enable truly self-driving cars — the ones without a gearshift or a steering wheel — there must be a confluence of technologies, a refinement of the business models, regulatory and safety requirements, and insurance concerns. So how close is the automotive ecosystem to reaching the goal of truly autonomous driving? That depends on your vantage point. As far as where automakers are t... » read more

Inside AI And Deep Learning

Semiconductor Engineering sat down to talk with Dave Schubmehl, research director for content analytics, discovery and cognitive systems at International Data Corp. (IDC), a market research firm. Schubmehl’s research covers information access, artificial intelligence, cognitive computing, deep learning, machine learning and other topics. He also addressed neuromorphic technology. What follows... » read more

Move Over AI, Here Comes AmI

Artificial Intelligence has received lots of attention, but a new term called Ambient Intelligence (AmI) is emerging as a cornerstone of the [getkc id="76" comment="Internet of Things"]. The term is a relatively unknown, but not all that new. AmI dates back 16 years—just a few years after the Internet saw its first widespread commercial adoption—when the concept first emerged as a collec... » read more

Artificial Intelligence: This Time It’s For Real

AI used to be the stuff of science fiction, but cheap processing power and storage has made it a reality. To find out what's being developed, System-Level Design (www.semiengineering.com) tracked down Rachel Goshorn, assistant professor of System Engineering at the Graduate School of Engineering and Applied Science in the Naval Postgraduate School in Monterey, Calif. Check out what she has to s... » read more