Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

Prediction market apps are thriving in Trump's second term, with traders betting on migrant deportations to election outcomes. A community of young, mostly male and very online traders are driving the ...

Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...

Some kids plan to kill. Can we discover who they are before they do? A program that combines neural and clinical data via ...

Seven of the remaining eight starting quarterbacks in the NFL Divisional Round are in search of their first Super Bowl title.

Let's discuss four trends that will redefine how robots create value — from smarter math and cooperative behaviors to ...

Information pervades the universe, yet means nothing. Meaning emerged when matter organized into systems that could ...

This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies ...

New framework syncs robot lip movements with speech, supporting 11+ languages and enhancing humanlike interaction.

In just three months, Phlow and Enveda generated and analyzed nearly 20,000 unique reactions, creating one of the largest high-quality datasets of its kind. The resulting uniform dataset is ...

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

de Filippis, R. and Al Foysal, A. (2026) Cross-Population Transfer Learning for Antidepressant Treatment Response Prediction: A SHAP-Based Explainability Approach Using Synthetic Multi-Ethnic Data.