Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

“Based on their training data, they just model the probability that a given token, or word, will follow a set of tokens that ...

The rapid development of artificial intelligence technology has propelled the automated, humanized, and personalized learning ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

When it comes to training robots to perform agile, single-task motor skills, such as handstands or backflips, artificial intelligence methods can be very useful. But if you want to train your robot to ...

A deep learning model identified an adrenal volume index from chest CT as an imaging biomarker for chronic stress and cardiovascular risk.

A research team led by Dr. Jinung An of the Division of Intelligent Robotics at DGIST has developed a new AI foundation model ...

Fusion oncoproteins arise when a gene fuses with another gene and acquires new abilities. Such abilities can include the ...