Neuromorphic Chips Are Destined for Deep Learning—or Obscurity

Researchers in this specialized field have hitched their wagon to deep learning’s star

9 min read
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Illustration: Chad Hagen
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People in the tech world talk of a technology “crossing the chasm" by making the leap from early adopters to the mass market. A case study in chasm crossing is now unfolding in neuromorphic computing.

The approach mimics the way neurons are connected and communicate in the human brain, and enthusiasts say neuromorphic chips can run on much less power than traditional CPUs. The problem, though, is proving that neuromorphics can move from research labs to commercial applications. The field's leading researchers spoke frankly about that challenge at the Neuro Inspired Computational Elements Workshop, held in March at the IBM research facility at Almaden, Calif.

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2022—The Year the Hydrogen Economy Launched?

The Inflation Reduction Act and the war in Ukraine pump billions into clean hydrogen R&D

5 min read
A man in a blue lab coat looks at equipment in a lab

A technician at Plug Power in Concord, Mass., secures a connector before a test of a hydrogen electrolyzer on July 5, 2022.

Adam Glanzman/Bloomberg/Getty Images

Among the technological visions that seem perpetually futuristic (think commercial nuclear fusion and maglev trains), the hydrogen economy has always been tantalizing. Hydrogen produced from renewable energy or nuclear power, with minimal greenhouse-gas emissions, could be piped or transported pretty much anywhere, using mostly existing infrastructure. It could power trucks, cars, planes, and ships and generate electricity, either in fuel cells or combustion turbines. In short, it could do anything fossil fuels do now, but with substantially reduced climate impact.

Now, after decades of false starts and overly optimistic projections, several factors are giving an unprecedented lift to clean hydrogen. In the United States, sweeping legislation capped a series of moves by the country’s Department of Energy (DOE) over the past year to drive down the cost of low-carbon hydrogen and stimulate demand for the fuel. And in Europe, a looming fossil-fuel crisis has sent officials scrambling to find alternatives to the 155 billion cubic meters of Russian natural gas that EU countries imported in 2021.

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Q&A: Marc Raibert on the Boston Dynamics AI Institute

The founder of Boston Dynamics talks with us about the new $400 million research institute

12 min read
Marc Raibert, an older white man with a bald head and a short white beard and glasses, gestures as he speaks on a stage. He is wearing formal pants and a flower-print short sleeve shirt.

Marc Raibert, founder and chairman of Boston Dynamics, speaks at a Hyundai Motor Group news conference during CES 2022 in Las Vegas.

Steve Marcus/Reuters/Alamy

Last week, Hyundai Motor Group and Boston Dynamics announced an initial investment of over US $400 million to launch the new Boston Dynamics AI Institute. The institute was conceptualized (and will be led) by Marc Raibert, the founder of Boston Dynamics, with the goal of “solving the most important and difficult challenges facing the creation of advanced robots.” That sounds hugely promising, but of course we had questions—namely, what are those challenges, how is this new institute going to solve them, and what are these to-be-created advanced robots actually going to do? And fortunately, IEEE Spectrum was able to speak with Marc Raibert himself to get a better understanding of what the institute will be all about.

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Accelerate Time to Market with Calibre nmLVS Recon Technology: A New Paradigm for Circuit Verification

Improve LVS circuit verification productivity in early-stage SoC integration and reduce time to market

1 min read
Accelerate Time to Market with Calibre nmLVS Recon Technology: A New Paradigm for Circuit Verification

One thing is clear…tapeouts are getting harder, and taking longer. As part of a growing suite of innovative early-stage design verification technologies, the Calibre nmLVS Recon tool enables design teams to rapidly examine dirty and immature designs to find and fix high-impact circuit errors earlier and faster, leading to an overall reduction in tapeout schedules and time to market.

Learn more in this technical paper.