In recent years, research using artificial intelligence to predict material properties has advanced rapidly. Neural network quantum Monte Carlo methods have attracted attention as highly accurate ...

This important study provides new insight into how frontostriatal circuits encode elapsed time and exhibit decision-related dynamics during an auditory change-detection task. Analyses of ...

This important study investigates whether perceived gender is represented in the brain in a category-invariant manner across faces, bodies, and objects, identifying the right middle temporal gyrus ...

National security, unlocked. Each Thursday, host Mary Louise Kelly and a team of NPR correspondents discuss the biggest national security news of the week. With decades of reporting from battlefields ...

This Perspective examines the role of AI-based image analysis when applied to stem cell-derived models. We developed an optogenetic tool based on tetanus neurotoxin — a protease that cleaves the ...

A newly generated high-throughput experimentation (HTE) dataset is integrated with open-source data to produce a large and high-quality Buchwald–Hartwig reaction dataset for training machine learning ...

Jomon genomics reveal cold adaptation in Upper Paleolithic hunter-gatherers of eastern Eurasia The integration of synaptic inputs is a fundamental function of neurons. In the traditional model, ...