I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful.

In recent years, with the rapid development of large model technology, the Transformer architecture has gained widespread attention as its core cornerstone. This article will delve into the principles ...

How is AI different from a neural net? How can a machine learn? What is AGI? And will DeepSeek really change the game? Read on to find out.

A new study discovers a pivotal moment when AI starts comprehending what was read versus relying on the position of the words in a sentence.

Recently, the National Intellectual Property Administration announced a notable patent developed jointly by Shenyang University of Technology and China Aero Engine Corporation, titled "A Bearing Life ...

CMS employed machine learning to probe rare Higgs decays into charm quarks. The search produced the most stringent limits so far. The Higgs boson, first observed at the Large Hadron Collider (LHC) in ...

Gynecological cancers, including breast, ovarian, and cervical malignancies, account for a significant global health burden among women. The review outlines how a spectrum of machine learning (ML) ...

Long before the current boom in AI, Dean was thinking about how to position Google for AI dominance. In 2013, after a speech-recognition model showed promising results, he did some ...

This study presents a valuable application of a video-text alignment deep neural network model to improve neural encoding of naturalistic stimuli in fMRI. The authors found that models based on ...

Brain mapping, psychedelic therapy, and thought-controlled computers are reshaping medicine and human potential this year.

For more than eighty years, deep learning has relied on a simplified model of brain function. Now, a Pittsburgh startup ...

As summer winds down, many of us in continental Europe are heading back north. The long return journeys from the beaches of ...