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When AI meets muscle: Context-aware electrical stimulation guides humans through new movements

Imagine traveling in a foreign country, reaching for a window you’ve never seen before, and instead of struggling to open it, you feel your own muscles gently guide you through the motion, as if an invisible teacher was there, lending their know-how. Now picture that same sensation helping you twist open a child-proof pill bottle, operate a camera, or perform tasks you’ve never practiced before.

This is not science fiction. It’s the vision realized by Ph.D. students Yun Ho and Romain Nith, under the supervision of associate professor Pedro Lopes in the Department of Computer Science at the University of Chicago. Their work, recently honored with the Best Paper Award at the ACM CHI 2026 conference, is turning heads across the human-computer interaction community.

The study is also published on the arXiv preprint server.

After Anthropic’s Mythos AI uncovers thousands of zero-day bugs, top US officials huddle with bank CEOs

The heads of America’s biggest banks met this week with Federal Reserve Chairman Jerome Powell and Treasury Secretary Scott Bessent to weigh the security implications of a new artificial intelligence system developed by Anthropic, according to reports Friday.

The gathering was convened on the sidelines of an event in Washington, with officials calling the extra session to address Anthropic’s newly unveiled Claude Mythos model, Bloomberg and the Financial Times reported.

The US Treasury Department did not immediately respond to a request for comment. The Federal Reserve had no comment.

How a key memory center in the brain responds to the unexpected

The hippocampus is a crucial part of the brain that plays a role in memory and learning, especially in remembering directions and locations. New research from the University of Chicago shows how this small, curved structure reorganizes its activity depending on whether a situation matches people’s memories and expectations.

AI chips could get faster with 30-nanometer embedded memory that cuts data shuttling

When we watch videos or ask AI questions, enormous amounts of data are constantly moving inside computers. In particular, data centers that support AI must process and transfer vast amounts of data at very high speeds. However, current computers have a fundamental limitation: the place where calculations are performed and the place where data is stored are physically separated.

Because of this, data has to travel back and forth many times within a chip. This repeated movement takes time and consumes energy, creating a bottleneck that limits both speed and efficiency.

Archaeological survey at Gnith reveals new details about pearl millet’s westward expansion

A study published in Azania: Archaeological Research in Africa sheds new light on the westward spread of pearl millet (Pennisetum glaucum) agriculture in prehistoric West Africa. A recent survey documented its earliest known occurrence in the Lac de Guiers basin of Northern Senegal, around AD 200, coinciding with increasing aridification, which may have driven the expansion of dryland farming communities westward.

The findings are significant as they help illuminate the westward spread of domesticated crops and mark the first time pearl millet spread beyond the Middle Senegal valley.

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