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Chips that run on thermal noise could cut AI image generation energy use 10,000 times
Thermodynamic computing crossed a credibility threshold this week as peer-reviewed papers from Lawrence Berkeley National ...
Abstract: We employ our recent discrete-time stochastic averaging theorems and stochastic extremum seeking to iteratively (batch-to-batch) optimize open-loop control sequences for unknown but ...
Abstract: This note develops the time-delay approach to networked control systems with scheduling protocols, variable delays and variable sampling intervals. The scheduling of sensor communication is ...
This paper develops asymptotic distribution theory for generalized method of moments (GMM) estimators and test statistics when some of the parameters are well identified, but others are poorly ...
Joan Birman popularized the Burau representation problem decades ago. Now she and two colleagues have a proof that reveals ...
In his decades-long career in tech journalism, Dennis has written about nearly every type of hardware and software. He was a founding editor of Ziff Davis’ Computer Select in the 1990s, senior ...
Living cells organize internal compartments by forming molecular condensates that operate as versatile biochemical “hubs.” Their occurrence is particularly relevant in the nucleus where they regulate, ...
IBM Analog Hardware Acceleration Kit is an open source Python toolkit for exploring and using the capabilities of in-memory computing devices in the context of artificial intelligence. ⚠️ This library ...
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My research is at the interface of probability, analysis, and mathematical physics. I work mainly on random matrices, random graphs, statistical mechanics, stochastic processes, high-dimensional ...
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