The authors used a Bayesian modeling framework to fit behavior and serotonin neuron activity to reward history across multiple timescales. A key goal was to distinguish value coding from other ...

We study the causal effect of different early career occupational experiences on labor market outcomes. To do so, we pair over two decades of administrative tax data with internal personnel records ...

Lab-grown “reductionist replicas” of the human brain are helping scientists understand fetal development and cognitive ...

Sleep is the nightly alchemy that edits memory into identity, while AI, forever awake, can only mimic the day.

A new Dartmouth study finds that artificial intelligence has the potential to deliver educational support that meets the ...

Two new books reveal the gap between the promises of AI companies and the reality. One exposes the industry’s questionable ...

Think you have a deep understanding of AI tools? The 'reverse Dunning-Kruger effect' suggest you’re probably wildly ...

The self-play framework uses a 'Challenger' and a 'Reasoner' to create a self-improving loop, pushing the boundaries of AI ...

Artificial intelligence (AI) systems, particularly artificial neural networks, have proved to be highly promising tools for ...

As institutions explore generative AI for transaction monitoring, sanctions screening and KYC processes, questions about ...

A brief on how to ensure agentic AI systems remain understandable, accountable, and aligned with the people they serve.

Plus, Panasonic has started producing batteries in Kansas en masse and the Nexperia chip shortage is about to hit Japanese automakers hard.