A study by ANL has shown how physics-based models and AI can improve trust in nuclear diagnostics by explaining faults and ...

Children are astonishing language learners. Long before they can read or write, they begin to pick up words, patterns, and ...

This is the first of a two-part article that examines both structural and processural paradigms of social theory. This argues ...

Researchers found that humans and AI share a similar interplay between two learning systems: flexible, quick in-context learning and gradual incremental learning.

A key objective of behavioral science research is to better understand how people make decisions in situations where outcomes are unknown or uncertain, which entail a certain degree of risk. The ...

Background: Urosepsis is a subset of sepsis with a high mortality rate. Currently, the ranking of urosepsis in sepsis etiology is on the rise. Our goal is to use machine learning (ML) methods to ...

Planning and conducting chemical syntheses remains a major bottleneck in the discovery of functional small molecules, and prevents fully leveraging generative AI for molecular inverse design. While ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this research work authors have experimentally validated a blend of Machine ...

Modern large language models (LLMs) might write beautiful sonnets and elegant code, but they lack even a rudimentary ability to learn from experience. Researchers at Massachusetts Institute of ...

Pneumonia in-hospital mortality was independently linked to 8 risk factors: cough, ferritin, diabetes, lactic acid, needing vasopressors, BUN, CK, and eosinophil level. Early prediction of in-hospital ...