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 ...

The company mainly trained Phi-4-reasoning-vision-15B on open-source data. The data included images and text-based descriptions of the objects depicted in those images. Before it started training the ...

A two-chip photonic neuromorphic system performs real time spiking reinforcement learning using only light, achieving GPU-class energy efficiency.

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 ...

Acute myeloid leukemia, or AML, is a rare and aggressive cancer that can affect people of all ages. Kiran Vanaja, an ...

Google's Genie generates infinite interactive worlds from text. The secret? AI models compress reality's rules into transferable principles, enabling boundless creation.

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

Researchers develop TweetyBERT, an AI model that automatically decodes canary songs to help neuroscientists understand the neural basis of speech.