A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...

A new ‘biomimetic’ model of brain circuits and function at multiple scales produced naturalistic dynamics and learning, and ...

Research reveals why AI systems can't become conscious—and what radically different computing substrates would be needed to ...

OpenAI has confirmed Chain-of-Thought monitoring works for GPT-5, debunking fears of hidden reasoning. The catch? A new ...

Gemma Scope 2,is a comprehensive open-source suite trained on 110 petabytes of data to map internal reasoning circuits across ...

A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern ...

Analyzing stochastic cell-to-cell variability can potentially reveal causal interactions in gene regulatory networks.

1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...