For more than half a century, materials scientists have struggled with how to simulate the complexity of polymer materials.

A surprisingly easy way to multiply an AI model’s profit is to drive decisions via expected value instead of predictive scores. Here's how, illustrated with fraud detection.

For AI models, there are currently no safety rules that govern the path of actions, which can leads to unanticipated consequences.

Collaboration to leverage Q-Plasia OncoReader™ (QPOR™) on routine H&E slides to improve patient selection, accelerate clinical development, and deepen biological understanding of response NEWTON, Mass ...

A new, more life-like physical model of microscopic nerve fibers called axons could speed up the discovery of medicines for multiple sclerosis and other degenerative brain diseases, suggests a new ...

The strength model of willpower enjoys both supporters and critics, earning both influence and critique since its development in the mid-'90s. It is often cited in discussions around psychology’s ...

TL;DR: In 2026, single-player games like Resident Evil Requiem, 007 First Light, and Control Resonant will feature advanced path tracing and full ray tracing on PC, enhanced by NVIDIA's DLSS 4.5 ...

Abstract: This paper presents an error-state Model Predictive Path Integral (MPPI) framework for tendon-driven continuum robots (TDCRs). Tracking-error dynamics are ...

Abstract: In this letter, we introduce Geometric Model Predictive Path Integral (GMPPI), a sampling-based controller capable of tracking agile trajectories while avoiding obstacles. In each iteration, ...

TOKYO--(BUSINESS WIRE)--Integral AI, a global leader in the development of embodied AGI, today announced the successful testing of the world’s first AGI-capable model. Led by AGI expert and ex-Google ...