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 simulations for unprecedented lengths of time, even at temperatures as high as ...
Nature

AI models ‘subliminally’ transmit unsafe behaviours when training other systems

Using artificial-intelligence to teach other models can be cheaper and faster than building them from scratch, but this ...

A smarter way to build vaccines: Scientists harness AI to target emerging alphaviruses

A team of scientists at The University of Texas Medical Branch (UTMB), led by Nikos Vasilakis, Ph.D., and Peter McCaffrey, MD ...
TechRadar

Valve's Steam Machine gets its first support update ahead of launch via SteamOS preview 3.8.0 — and it includes one major fix I've been waiting for

Steam Machine might arrive sooner than we thought... When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. Valve has released SteamOS 3.8.0 preview for ...

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 ...

Nvidia-backed ThinkLabs AI raises $28 million to tackle a growing power grid crunch

ThinkLabs AI has raised $28 million with backing from NVIDIA and energy investors to help utilities modernize power-grid ...
Frontiers

Leveraging Artificial Intelligence and Real World Data for Novel Insights in Healthcare.

This issue aims to showcase how machine learning (ML) and Artificial Intelligence (AI) approaches can be used with real world data (RWD) sources to generate ...
Frontiers

Semi-Supervised Learning with Foundation Models for Biomedical Data Analysis: Multimodality, Generative AI, and Clinical Adaptation

Biomedical data analysis has evolved rapidly from convolutional neural network-based systems toward transformer architectures and large-scale foundation ...