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AI-powered digital twins enhance efficiency, predict outcomes and enable cost-effective system tuning by simulating ...
A new study introduces choice engineering—a powerful new way to guide decisions using math instead of guesswork. By applying ...
A team of researchers led by Niccolò Maffezzoli, "Marie Curie" fellow at Ca' Foscari University of Venice and the University ...
In a recent analysis, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and collaborator William Gilpin reported that one ...
While the CTM shows strong promise, it is still primarily a research architecture and is not yet production-ready out of the box.
Digital systems are expected to navigate real-world environments, understand multimedia content, and make high-stakes ...
A new study in Small introduces OptiMate, a machine learning model that predicts optical properties and identifies ...
A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery. The framework, Information-Contrastive Learning (I-Con), connects diverse ...
Researchers developed a machine learning model that can evaluate patients' PPD risk using readily accessible clinical and demographic factors. Findings demonstrate the model's promising predictive ...