A former Snowflake data scientist who refined multi-billion-dollar forecasts is now building AI models that outperform Claude ...

Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.

Abstract: Cloud Manufacturing (CMfg) serves as a pivotal platform, seamlessly integrating enterprise resources and consumer demands, thus playing a central role in task scheduling and service ...

New research shows that AI language models can develop a mathematical “understanding” that differentiates between events that ...

Confidence is persuasive. In artificial intelligence systems, it is often misleading. Today's most capable reasoning models ...

The growing field of machine unlearning aims to make large language models forget harmful information without retraining them ...

Ensemble learning methods, combining multiple models to improve overall accuracy and reliability, offer a promising approach to address this challenge. Objective: To develop and evaluate efficient ...

Siemens tests a Humanoid robot with Nvidia technology in a live factory trial in Germany, putting autonomous logistics work ...

Demand for AI-capable engineers has surged 60% in the past year, but as hiring accelerates, companies are increasingly ...

Explore the top AI certifications to boost your career and validate your AI skills. Find the best programs in machine ...

Those changes will be contested, in math as in other academic disciplines wrestling with AI’s impact. As AI models become a ...

Background: Sepsis-associated liver injury (SALI) is a severe complication of sepsis that contributes to increased mortality and morbidity. Early identification of SALI can improve patient outcomes; ...