A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to patient outcomes using widely available bulk RNA sequencing data. The approach ...

Silvaco Group surged over 50% post-Q4 FY25 earnings last week, driven by strong TCAD bookings and explosive SIP revenue ...

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...

New research reveals that "foundation models" trained on vast, general time-series data may be able to forecast river flows accurately, even in regions with little or no local hydrological records.

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant risk of progressive renal impairment in a subset of patients. Early ...

Modern-day LLMs are "fiction machines," designed not to be truthful but to make sense. What can we expect from these machines, and what are their limitations?

SCS researchers, including CSD's Guying Lin (shown), have developed a new scene-generation framework that creates physically realistic, simulation-ready 3D scenes from text prompts. PAT3D generates 3D ...

German robotics company NEURA Robotics introduced the third-generation 4NE1 Gen 3 humanoid robot in January 2026, targeting ...

The NESC developed several innovative tools and techniques during an assessment to find the root cause of poor tensile ...

In the last few years, Chinese AI startup MiniMax has become one of the most exciting in the crowded global AI marketplace, ...

STMicroelectronics and Leopard Imaging have introduced an all-in-one multimodal vision module for humanoid and other advanced robotics systems. Combinin ...

The U.S. Department of Energy now has two major supercomputing systems aimed at accelerating fusion energy research through ...