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Developers Turn To Analog For Neural Nets


Developers Turn To Analog For Neural Nets
Replacing digital with analog circuits and photonics can improve performance and power, but it’s not that simple.
Machine-learning (ML) solutions are proliferating across a wide variety of industries, but the overwhelming majority of the commercial implementations still rely on digital logic for their solution.
With the exception of in-memory computing, analog solutions mostly have been restricted to universities and attempts at neuromorphic computing. However, that’s starting to change.
“Everyone’s looking at the fact that deep neural networks are so energy-intensive when you implement them in digital, because you’ve got all these multiply-and-accumulates, and they’re so deep, that they can suck up enormous amounts of power,” said Elias Fallon, software engineering group director for the Custom IC & PCB Group at Cadence. ....

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Book World: New translation reveals the delights - and flaws - of the classic Chinese tale


Book World: New translation reveals the delights - and flaws - of the classic Chinese tale
Michael Dirda, The Washington Post
March 3, 2021
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Penguin Classics. 384 pp. $30
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What do you do when a book - a classic, no less, and one beloved by millions of readers - proves disappointing?
I had expected to love Monkey King, the new translation and abridgment by Julia Lovell of the episodic 16th-century Chinese novel, Hsi-yu chi, also known as Journey to the West. The book was first published anonymously, and its authorship is consequently uncertain, though usually attributed to a minor poet and littérateur named Wu Cheng en. ....

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