Physical AI raised $10B+ in 2025, but robots still train on under 5,000 hours of real-world data. Who's funding the race to ...

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

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 ...

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 ...

This was originally published by Democracy Journal. Gerrymandering is not a new problem in the United States. Even the founding generation was not immune to its temptations: Patrick Henry famously ...

While Asian Americans and Pacific Islanders still struggle with feeling represented, new research shows that streaming platforms are a significantly more inclusive space for them. Limited time: Save ...