Single neurons in mouse sensorimotor cortex are organized by their activity features into distinct subpopulations with area-spanning footprints whose boundaries align closely with anatomical and ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

As a journalist, I only fully understood the popular outrage around AI centers when I wrote a story about one coming to my ...

As threats to underwater internet cable connections continue to increase, Finland has a plan for keeping its internet ...

Everpure's data primacy thesis is a bold architectural argument. Across four interviews at Accelerate, its executives made the case about what it actually means for buyers right now.

Abstract: Data representation learning is one of the most important problems in machine learning. Unsupervised representation learning becomes meritorious as it has no necessity of label information ...

Rj Nichols has tried for five years to get the speed limit lowered or a speed bump installed in his Bangor neighborhood. Nichols says he’s seen several kids nearly hit by speeding cars on Deer Isle ...

Every year, NeurIPS produces hundreds of impressive papers, and a handful that subtly reset how practitioners think about scaling, evaluation and system design. In 2025, the most consequential works ...

Read a story about dogs, and you may remember it the next time you see one bounding through a park. That’s only possible because you have a unified concept of “dog” that isn’t tied to words or images ...

The upcoming assessment cycle of the Intergovernmental Panel on Climate Change (IPCC) will be authored by more experts from global south institutions than ever before, Carbon Brief analysis finds.

In materials discovery applications often we know the composition of trial materials but have little knowledge about the structure. Many current SOTA results within the field of machine learning for ...