Deep Learning Reinvents the Hearing Aid

Finally, wearers of hearing aids can pick out a voice in a crowded room

13 min read
Photo: Dan Saelinger/Trunk Archive
Photo: Dan Saelinger/Trunk Archive

My mother began to lose her hearing while I was away at college. I would return home to share what I’d learned, and she would lean in to hear. Soon it became difficult for her to hold a conversation if more than one person spoke at a time. Now, even with a hearing aid, she struggles to distinguish the sounds of each voice. When my family visits for dinner, she still pleads with us to speak in turn.

My mother’s hardship reflects a classic problem for hearing aid manufacturers. The human auditory system can naturally pick out a voice in a crowded room, but creating a hearing aid that mimics that ability has stumped signal processing specialists, artificial intelligence experts, and audiologists for decades. British cognitive scientist Colin Cherry first dubbed this the “cocktail party problem” in 1953.

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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 5 July 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.

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Boston Dynamics’s founder thinks creatively with $400 million AI 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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Free On-Demand Webinars on Data Acquisition Boards and Their Applications

Explore the basics of digitizers, pulse detection, peer-to-peer streaming, and more

1 min read

Dive into the world of digitizers and explore how they can benefit your application. Explore the basics of digitizers, pulse detection, peer-to-peer streaming, and more. Whether you are a scientist, engineer, student or if you want to know more about Teledyne SP Devices deep knowledge base there is something for everyone. Register now for these free webinars!