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 ...

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 ...

A new self-supervised machine learning model, TweetyBERT, automatically segments and classifies canary vocalizations with expert-level accuracy, offering a scalable platform for neuroscience, ...

“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 ...

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.

Explore how AI learning parallels physics laws, revealing insights into neural networks and their performance mechanisms.

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

Researchers use compressed AI models to discover "dot-detecting" neurons in the macaque visual cortex, offering a new path ...

Explore how core mathematical concepts like linear algebra, probability, and optimization drive AI, revealing its ...