MIT researchers say they have found a more efficient way to train machine learning models that predict how complex metal alloys will behave.

Large language models (LLMs) are rapidly being integrated into clinical workflows, supporting tasks such as diagnosis ...

Pre-deployment simulation is a new technique from OpenAI. It can be used to better shape AI-led mental health guidance. An AI ...

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

Engineers must accurately predict thermal stabilization and calibrate simulation software to achieve consistent quality in ...

Modern military and civil operations increasingly rely on drones, from long-range surveillance platforms to tactical systems ...

Electric vehicle adoption continues to rise, yet the technology’s competitiveness against internal combustion engine ...

Floating-point computations dominate the landscape of all AI/ML compute but also in automotive, avionics and healthcare. While performance and compute errors dominated the landscape of floating-point ...

The 53rd annual conference presents peer-reviewed breakthroughs in simulation, vectorization, and physics modeling across ...

A new Quantum Monte Carlo algorithm in Physical Review Letters marks a significant step forward in the quest to build ...

Decades ago, Paul Erdős used randomness to illuminate the vast and weird world of networks. Now mathematicians are making his ...

More than 20% of the workload on the world's 500 fastest supercomputers is spent simulating how atoms and molecules move—with applications ranging from material design to identifying drug interactions ...