The researchers discovered that this separation proves remarkably clean. In a preprint paper released in late October, they ...

A team at Carnegie Mellon University is helping kids understand artificial intelligence with a soft, squishy, LED-lit neural ...

Cheung, K. , Siu, Y. and Chan, K. (2025) Dual-Dilated Large Kernel Convolution for Visual Attention Network. Intelligent ...

The machine-learning programs that underpin their ability to “see” still have blind spots—but not for much longer ...

Recently, a research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed a ...

Frontiers in Neurorobotics has published a new paper by Xiaofei Han and Xin Dou introducing a next-generation artificial intelligence framework that combines graph neural networks and multimodal ...

The human visual system provides us with a rich and meaningful percept of the world, transforming retinal signals into visuo-semantic representations. For a model of these representations, here we ...

New research shows that the superior colliculus, a primitive brain region, can independently interpret visual information.

Some people can spot a familiar face in a crowded place. Super-recognizers don’t just look longer, they sample smarter.

A new study reveals that the brain’s responsiveness and capacity for learning shift with the time of day, governed by molecules like adenosine that link metabolism, sleep, and neural signaling.