Researchers used AI and deep learning to find a link between brain structure and navigation skills but found no measurable ...

Steven Weisberg, a researcher at the University of Texas at Arlington, found that advanced artificial intelligence tools could not uncover a clear link between brain structure and navigation ability ...

Three new neural network-based tools enable fast, accurate alignment and annotation of images even in very wiggly subjects.

Steven Weisberg, a researcher at The University of Texas at Arlington, found that advanced artificial intelligence tools could not uncover a clear link between brain structure and navigation ability ...

Multimodal sensing in physical AI (PAI), sometimes called embodied AI, is the ability for AI to fuse diverse sensory inputs, ...

A new report out today from cyberfraud protection startup DataDome SAS warns that surging demand for DDR5 memory, fueled by ...

Of the many AI leaders that spoke at Davos, Microsoft CEO Satya Nadella came closest to hitting the nail on the head. He ...

The trial-to-trial variability of neuronal responses and the correlated response variability among neurons are modulated by visual stimulus size in a manner that depends on cortical layer, suggesting ...

Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...

BrainAlignNet, AutoCellLabeler, and CellDiscoveryNet—to automatically track and identify neurons in moving worms and jellyfish.

Researchers found that reward prediction errors-linked to dopamine release-boosted movement speed within 220 milliseconds. The subtle effect may offer new ways to study motor changes in Parkinson’s ...