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 ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

Developed by Professor Sanjay Mehrotra, the Sliding Scale AdaptiVe Expedited (SAVE) algorithm could improve organ allocation ...

Meta AI veteran Yann LeCun raises $1 billion for AMI, betting on world models to rival today’s text-based AI systems.

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

Wind and solar power have grown faster than almost anyone predicted, but projecting their future expansion remains ...

To this day, in the known universe, only one example exists of a system capable of general-purpose intelligence. That system is the human brain.

Machine learning can sound pretty complicated, right? Like something only super-smart tech people get. But honestly, it’s ...

Understanding the Hidden Gaps in Brain-Inspired AI Recent advances in artificial intelligence have drawn heavily from the human brain’s architecture ...

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