A new technical paper titled “Thermo-mechanical co-design of 2.5D flip-chip packages with silicon and glass interposers via ...
Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using cross-functional pods that helped a client save $300M by accurately predicting demand.
A thorough understanding of Linear Algebra and Vector Calculus, and strong familiarity with the Python programming language (e.g., basic data manipulation libraries, how to construct functions and ...
Jorge Nocedal can’t stop thinking about optimization. Even when gazing at Lake Michigan or lying in bed, he constantly imagines new approaches to new problems in new areas, like deep learning. “I ...
In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
A recent study in Scientific Reports presented a graphene-based metamaterial as a solar absorber. The structure consisted of three layers: aluminum (Al) as the resonator, titanium nitride (TiN) as the ...
Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...
Supply chains are experiencing a period of significant disruption and challenge that is unlikely to abate in the short term. Covid-19, the war in Ukraine, rising fuel prices and now a looming ...
Michael I. Jordan is the Pehong Chen Distinguished Professor in the Department of EECS and the Department of Statistics at the University of California, Berkeley. His research interests include ...
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