Robot perception and cognition often rely on the integration of information from multiple sensory modalities, such as vision, ...

A team at the University of California, San Diego has redesigned how RRAM operates in an effort to accelerate the execution ...

Neural network models that are able to make decisions or store memories have long captured scientists' imaginations. In these models, a hallmark of the computation being performed by the network is ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

Google's Genie generates infinite interactive worlds from text. The secret? AI models compress reality's rules into ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...

A hunk of material bustles with electrons, one tickling another as they bop around. Quantifying how one particle jostles others in that scrum is so complicated that, beginning in the 1990s, physicists ...

University of Illinois professor Klara Nahrstedt received $275,000 from the National Science Foundation to develop streaming ...