Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.

Evo 2 machine learning model enlists the power of AI in the fight against diseases by Ty Burke, University of California - Berkeley edited by Lisa Lock, reviewed by Robert Egan Editors' notes ...

In a new JNeurosci paper, Adrian Rothenfluh and colleagues from the University of Utah developed a fruit fly model of cocaine self-administration that can be used to explore the genetic ...

The impact of smartphone addiction on creativity among college students: a moderated mediation model of negative emotion and perceived social support ...

Physicists have long struggled to develop a gauge theory of gravity that integrates with the gauge theories for electromagnetism, the weak nuclear force, and the strong nuclear force. The Standard ...

A new theory challenges the standard model of cosmology, arguing that dark matter and dark energy are not the forces behind cosmic expansion.

After training a machine learning model on the patients’ functional brain images and clinical assessments, the researchers found that the model was able to predict an individual’s PTSD symptom ...

The visual sensory organ (VSO) serves as the primary channel for transmitting external information to the brain; therefore, damage to the VSO can severely limit daily activities. Visual-to-Auditory ...

Abstract The accurate and early detection of coronary heart disease (CHD) is crucial for reducing mortality rates. This study evaluates the predictive performance of three machine learning ...