Abstract: Imitation learning is increasingly utilized to improve driving performance using real-world data, yet ensuring the safety of its outputs remains a fundamental challenge. While differentiable ...

Artificial intelligence has increasingly become part of modern educational workflows, supporting tasks such as content ...

This important study describes long-range serial dependence of performance on a visual texture discrimination training task that manipulated conditions to induce differing degrees of location transfer ...

While the research does not point to a direct, causal link, it hints that activities like reading, writing and playing games ...

When we learn a new motor skill—whether mastering a piano passage or refining balance while walking—the brain must reorganize ...

No body, no dopamine, no problem. Scientists have successfully coached lab-grown brain tissue to solve a classic robotics challenge, proving that the will to learn is hardwired into our neurons.

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

SINGAPORE, Jan. 13, 2026 /PRNewswire/ -- YY Group Holding Limited (NASDAQ: YYGH) ("YY Group" or the "Company"), a global leader in on-demand workforce solutions and integrated facilities management ...

Trump's former Russia adviser says Russia offered US free rein in Venezuela in exchange for Ukraine Hundreds arrested for DUI in Tennessee despite negative blood alcohol tests Vancouver home sales hit ...

Right ventricular (RV) function has a well-established prognostic role in patients with severe mitral regurgitation (MR) undergoing transcatheter edge-to-edge repair (TEER) and is typically assessed ...

For decades, learning and development (L&D) has been the engine that helps organizations build skills, strengthen leadership and adapt to change. Yet despite its contributions, L&D still faces an ...

This important work introduces a family of interpretable Gaussian process models that allows us to learn and model sequence-function relationships in biomolecules. These models are applied to three ...