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 ...
For the first time in history, language evolution is partly being steered by machines trained on digital data.
MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.
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 ...
When RL is paired with human oversight, teams can shape how systems learn, correct course when context changes, and ensure ...
The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
A reinforcement learning environment is a fail-safe digital practice room where an agent can afford to make mistakes and learn from them without real-world consequences.
With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.
Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
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 ...
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