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MARCH 1, 2022

Born in 1890 in Massachusetts, he came to prominence as the nation’s top designer of computers while at MIT In the 1930s. Versatility as Virtue While he spent many years as a professor of electrical engineering at MIT, Bush sought to imbue fellow professors with a goal of being practical, versatile and deep.

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Engine MIT Columbus Universal 110

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OCTOBER 4, 2022

Because robotics requires expertise in many different aspects of both software and hardware, getting a good sense of the present context of Tesla’s robot as well as its future potential means finding perspectives from a multitude of robotics experts, including people working in industry and academia and everywhere in between. Kate Darling.

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Boston Tesla IDEA Engine 145

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DECEMBER 27, 2021

Deep Learning's Diminishing Returns : MIT's Neil Thompson and several of his collaborators captured the top spot with a thoughtful feature article about the computational and energy costs of training deep learning systems. Several came from Spectrum 's October 2021 special issue on AI, The Great AI Reckoning.

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San Francisco IDEA MIT Google 145

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SEPTEMBER 30, 2021

Yes, it's possible that we're in for yet another AI winter in the not-so-distant future. Cornell University Division of Rare and Manuscript Collections. In 1967, MIT professor. The Minsky Family; Carnegie Mellon University (2). The MIT Museum. Yet there's little sense of doom among researchers.

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Future MIT New York 2012 145

Tony Karrer Delicious EVdriven

APRIL 21, 2009

The discovery came when MIT researchers Byoungwoo Kang and Gerbrand Ceder found out how to get a common lithium compound to release and take up lithium ions in a matter of seconds. According to Peter Bruce, a chemist at the University of St Andrews, UK, “As far as I know, this is the fastest yet for this material.&# About Gas 2.0

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MIT Gas-Electric Gas Electric Cars 45

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AUGUST 11, 2021

Steven Cherry Hi, this is Steven Cherry for IEEE Spectrum's podcast, Fixing the Future. Joining me to talk about it—and IBM's other pivots, past and future—is a person uniquely qualified to do so. When we come back, I'll ask him to walk us through some of IBM's most difficult moments, and to speculate about its uncertain future.

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Personal Companies Corporation Future 133

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OCTOBER 18, 2023

Eliza Strickland: Hi, I’m Eliza Strickland for IEEE Spectrum ‘s Fixing the Future podcast. Wong describes the new digital afterlife industry in a chapter of her new book from MIT Press, We the Data: Human Rights in the Digital Age. Wendy, thanks so much for joining me on Fixing the Future. Wong: Thanks for having me.

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Personal IDEA Industrial Industry 91

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OCTOBER 3, 2023

Foundation for Skydio’s drones can be traced back to Adam’s work on autonomous agile drones at MIT , and after spending a few years at Google working on Project Wing’s delivery drones , Adam cofounded Skydio in 2014. Davide Scaramuzza directs the Robotics and Perception group at the University of Zürich.

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SEPTEMBER 30, 2021

Dig into every industry, and you'll find AI changing the nature of work.” — DANIELA RUS , director of MIT's Computer Science and Artificial Intelligence Laboratory. From “ AI and the Future of Work: The Economic Impacts of Artificial Intelligence " (November 2019). “We Or see the full report for more articles on the future of AI.

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MIT 2019 Jordan Universal 127

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DECEMBER 29, 2023

This Mirror Reverses How Light Travels in Time Nature Physics In an esoteric bit of research this year, a group of researchers based at universities in New York City discovered how to pass a signal through something called a “time interface”—the result being that the entire signal acted like it was moving back in time.

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Google Ukraine Chad New York City 89

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MARCH 1, 2023

I’m using a word processor with the core features and functions of Microsoft Word, Google Docs, or LibreOffice’s Writer, along with an email client that could be mistaken for a simplified version of Apple Mail, Microsoft Outlook, or Mozilla Thunderbird. But these engineers and programmers largely shared the same point of view. billion U.S.

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SEPTEMBER 24, 2021

While deep learning's rise may have been meteoric, its future may be bumpy. Today's neural networks also learn parameter values, but those parameters are part of such flexible computer models that—if they are big enough—they become universal function approximators, meaning they can fit any type of data. SOURCE: N.C. THOMPSON, K.

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