Ultra‑robust machine‑learning models run stable molecular simulations at extreme temperatures

Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...
Tech Xplore

A simple baseline for AI forecasting in machine learning

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...
Indiatimes

10 free AI and Machine Learning books you can read online in 2026

While artificial intelligence is advancing at a rapid rate, the learning resources for artificial intelligence are also increasing at an equally rapid rate. Apart from online tutorials and learning ...

New AI method flags fluid flow tipping points before simulations break down

David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...

Reverse Engineering March Madness Selection Committee Bracketology

Machine learning analysis reveals which metrics drive March Madness seeding and predictive analytics in committee decisions.
The Next Web

Databricks co-founder Matei Zaharia wins ACM Prize and declares AGI is already here

Apache Spark creator and Databricks CTO Matei Zaharia wins the 2026 ACM Prize in Computing and argues that AGI has already ...
Tech Xplore on MSN

Compression technique makes AI models leaner and faster while they're still learning

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...

New MiniMax M2.7 proprietary AI model is 'self-evolving' and can perform 30-50% of reinforcement learning research workflow

For direct API integration and via third-party provider OpenRouter, MiniMax M2.7 maintains a cost-leading price point of 0.30 dollars per 1 million input tokens and 1.20 dollars per 1 million output ...