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