Researchers have shown that blending quantum computing with AI can dramatically improve predictions of complex, chaotic ...

Recently, the global winners of the 2026 Noble Technology Awards have been officially announced. Young data scientist ...

Seven Princeton faculty members and two visiting artists have received 2026 Guggenheim Fellowships supporting scholars in the ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Turbulence is one of the most expensive problems in computing. Simulating the chaotic swirl of air over a wing or the churn ...

In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...

The Gulf Coast is recognized worldwide for its exceptional fishing opportunities, offering anglers a wide variety of species ...

The field of intelligent energy systems has witnessed a remarkable transformation owing to innovations in machine learning. Over the past few decades, the ...

The ability to make adaptive decisions in uncertain environments is a fundamental characteristic of biological intelligence. Historically, computational ...

Nothing rivals the human brain's complexity. Its 86 billion neurons and 85 billion other cells make an estimated 100 trillion ...

Researchers used the world's fastest supercomputer for open science to train an artificial intelligence model that captures ...

The growing field of machine unlearning aims to make large language models forget harmful information without retraining them ...