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Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
The presentation below, “Using Bayesian Optimization to Tune Machine Learning Models” by Scott Clark of SigOpt is from MLconf. The talk briefly introduces Bayesian Global Optimization as an efficient ...
As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...
This is where Collective Adaptive Intelligence (CAI) comes in. CAI is a form of collective intelligence in which the ...
Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...
There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...
From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...
In contrast to machine learning (ML), machine unlearning is the process of removing certain data or influences from models as ...
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