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

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

The answer is Marion, Ohio, home to the Wyandot Popcorn Museum, and yes, it’s exactly as wonderful as it sounds. This isn’t ...

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...

Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...

Anthropic announced this week that its new model found security flaws in "every major operating system and web browser." Even ...

Abstract: Software-Defined Networks (SDNs) with their centralized control system and enhanced programmability requires a sophisticated approach to predict link states in complex network topologies.

WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...

A new technical paper titled “A Tensor Compiler for Processing-In-Memory Architectures” was published by researchers at University of Toronto, Barcelona Supercomputing Center, ETH Zurich, and the Max ...

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers ...