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

Abstract: While Temperature-Compensated Crystal Oscillators (TCXOs) provide an economical solution for local timing in communication systems, their inherent holdover limitations have historically ...

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 ...

A team of international scientists and risk assessment experts has developed a foundational blueprint for an innovative ...

Abstract: Conventional communication simulation models, such as iterative-based channel estimation algorithms, struggle to meet the complex and dynamic requirements of Low-Altitude Economy Networking, ...

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 ...

Cardiovascular diseases remain a leading cause of mortality globally, driving the need for more precise diagnostic and predictive tools. Traditional ...