Robotics & Machine Learning Daily News2024,Issue(Aug.2) :19-19.

Reports Summarize Machine Learning Findings from Lawrence Berkeley National Labo ratory (Toward Practical Superconducting Accelerators for Machine Learning Using U-sfq)

Robotics & Machine Learning Daily News2024,Issue(Aug.2) :19-19.

Reports Summarize Machine Learning Findings from Lawrence Berkeley National Labo ratory (Toward Practical Superconducting Accelerators for Machine Learning Using U-sfq)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting originatingfrom Berkeley, California, by NewsRx correspondents, research stated, “Most popular superconductingcircuits operate on information carried by ps-wide, mu V-tall, single flux quantum (SFQ) pulses. Thesecircuits can operate at frequencies of hundreds of GHz with orders of magnitude lower switching energythan complementary-metal-oxide-semiconducto rs (CMOS).”

Key words

Berkeley/California/United States/Nor th and Central America/Cyborgs/Emerging Technologies/Machine Learning/Lawren ce Berkeley National Laboratory

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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