Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...
Opinion
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Generative AI may cut costs in machine-learning systems, but it increases risks of cyberattacks and data leaks
Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...
Kumo Launches KumoRFM-2, A Foundation Model Built to Replace Traditional Enterprise Machine Learning
Kumo has unveiled KumoRFM-2, a next-generation foundation model designed specifically for structured enterprise data—marking ...
Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper publishing April 22 in the Cell Press ...
Tungsten's superior performance in extreme environments makes it a leading candidate for plasma-facing components (PFCs) in ...
Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular simulations for unprecedented lengths of time, even at temperatures as high as ...
Built on a new architecture KumoRFM-2 achieves state-of-the-art results across 41 predictive tasks and four major benchmarks, ...
CU Anschutz researcher Michael A. David, PhD, is turning to a subset of AI to enhance the field of orthopedics and helping others do the same.
AI-driven systems revolutionize agriculture by autonomously managing plant care, showcasing transformative potential in physical applications.
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Teaching AI models to say 'I'm not sure' in cases of calibration errors
Confidence is persuasive. In artificial intelligence systems, it is often misleading. Today's most capable reasoning models ...
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