Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

AI-powered overclocking uses machine learning to boost CPU and GPU performance safely in 2026, delivering higher FPS, better efficiency, and automatic stability.

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 ...

Written in Python, Freqtrade is a free, open-source crypto trading bot that works with all major exchanges and can be operated using Telegram or WebUI. It is great at automating tactics through ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Abu Dhabi-based Mohamed bin Zayed University of Artificial Intelligence’s (MBZUAI) Institute of Foundation Models has released K2 Think V2, a 70 billion-parameter open-source reasoning model that the ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.

Cardiovascular diseases account for approximately 80% of all deaths caused by known medical conditions, making them the leading cause of mortality worldwide. The present study investigates the use of ...

LLMs tend to lose prior skills when fine-tuned for new tasks. A new self-distillation approach aims to reduce regression and ...

MemRL separates stable reasoning from dynamic memory, giving AI agents continual learning abilities without model fine-tuning.