How Open Models Are Transforming AI Asset Creation

As open-weight models catch up on leaderboards and benchmark reports, one of the biggest considerations is how to manage AI ...

Enterprises can now train custom AI models from production workflows — no ML team required

Empromptu's Alchemy Models turns enterprise AI application outputs into a fine-tuning pipeline, letting companies own custom ...
Tech Xplore

A single real-world data point may stop AI model collapse, analysis suggests

New work explaining the inner workings of artificial intelligence could provide a way around the threat of AI "model collapse ...

Frontier AI models don't just delete document content — they rewrite it, and the errors are nearly impossible to catch

Frontier AI models corrupt 25% of document content in multi-step workflows — rewriting rather than deleting, which makes the ...
The Economist

AI models are being used to predict conflict

A S AN UNEASY truce holds between America and Iran, experts are struggling to predict what new phase the conflict may enter ...

AI generates first complete models of proteins in motion

Many drug and antibody discovery pathways focus on intricately folded cell membrane proteins. When molecules of a drug ...

Earth system AI closes data gaps to shows how extreme weather emerges

Within a very short time, tropical storm Doksuri intensified into a super typhoon in July 2023. Exceptionally strong winds ...
IEEE

Data-Driven Methods Applied to Soft Robot Modeling and Control: A Review

Abstract: Soft robots show compliance and have infinite degrees of freedom. Thanks to these properties, such robots can be leveraged for surgery, rehabilitation, biomimetics, unstructured environment ...

Adaption aims big with AutoScientist, an AI tool that helps models train themselves

Adaption's new AutoScientist tool is designed to let models adapt to specific capabilities quickly through an automated ...
eWeek

Why Data Science Matters More Than Ever in the Age of AI

AI systems are getting easier to build, but harder to understand. As outputs become less predictable and workflows more ...
IEEE

Online Data-Driven Model Predictive Control for Switched Linear Systems

Abstract: In this article, we consider the stabilization problem of switched systems consisting of a limited number of unknown linear subsystems regulated by unknown switching signals. To this end, we ...