Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...
Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...
MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.
The Abu Dhabi Autonomous Racing League’s 2026 drone championship tested vision-only AI drones against human pilots at speeds approaching 90 mph.
The Milwaukee Police Department will no longer consider acquiring facial recognition technology Chief Jeffrey Norman announced on Feb. 6. Despite proponents who believe its efficiency will benefit MPD ...
The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...
Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
Attackers don't need AI to crack passwords, they build targeted wordlists from an organization's own public language. This article explains how tools like CeWL turn websites into high-success password ...
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