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.
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 ...
Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...
The International Conference in Optimization and Learning (OLA2024), organized by RIT (Croatia) and the University of Lille (France), focuses on the future challenges of optimization and learning ...
In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
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