Living human neurons were trained to play Doom, extending the long-running engineering benchmark into biological computing.

There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.

Researchers at a Melbourne start-up have taught their “biological computer” made from living human brain cells to play Doom.

Arousal fluctuates continuously during wakefulness, yet how these moment-to-moment variations shape large-scale functional connectivity (FC) remains unclear. Here, we combined 7T fMRI with concurrent ...

On February 20, 2026, AI company Anthropic released a new code security tool called Claude Code Security. This release ...

This study presents a potentially valuable exploration of the role of thalamic nuclei in language processing. The results will be of interest to researchers interested in the neurobiology of language.

Anthropic's Claude Sonnet 4.6 matches Opus 4.6 performance at 1/5th the cost. Released while the India AI Impact Summit is on, it is the important AI model ...

There's a lot you can automate.

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

AI is searching particle colliders for the unexpected ...

Implementation of the EquiBot method and a Diffusion Policy baseline that takes point clouds as input. A set of three simulated mobile manipulation environments: Cloth Folding, Object Covering, and ...