Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using ...

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

Wastewater treatment plants (WWTPs) are inherently complex, with nonlinear processes that are challenging to analyze and ...

Aramide’s paper titled, ‘Quantum-Safe Networking for Critical AI/ML Infrastructure’, investigates the implications of quantum ...

Exploring how artificial intelligence and machine learning are redefining security for the evolving Internet of Things ...

Compared with the secondaries market’s largely bottom-up approach to pricing portfolios, Oliver Gottschalg, professor of ...

Particle physics may have been an early adopter, but AI has now spread throughout physics. This shouldn’t be too surprising. Physics is data-heavy and computationally intensive, so it benefits from ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Machine learning accelerates catalyst discovery by combining theory, AI, and experiments to identify efficient materials for sustainable energy applications.

AI has become a critical tool in diagnosing and managing viral infections such as influenza, respiratory syncytial virus (RSV ...

Sai Krishna's work in text mining has earned him well-deserved recognition within his organization. His development of an ...