Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.
Abstract: The widespread deployment of smart meters has created significant opportunities for applying artificial intelligence technologies to power system tasks. However, the high cost of data ...
Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...
Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract ...
AI can be used to produce clinically meaningful radiology reports using medical images like chest x-rays. Medical image report generation can reduce reporting burden while improving workflow ...
Families around the country are digging out Monday after a major winter storm pelted the U.S. over the weekend, but these days, remote learning means not every student got a snow day. School districts ...
As communities across the nation attempt to dig out from a massive winter storm, and brace for hazardous conditions that will linger throughout the week, states’ and school districts’ approaches to ...
Abstract: Weakly supervised learning has emerged as a powerful paradigm for image segmentation, providing a practical solution to reduce the dependence on costly, pixel-level annotated datasets. By ...
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