Xiang Wang

All matter, from stars to humans, is built from particles that in the Standard Model are divided into two families. But there's a third, rare kind — particles that, when swapped, don't just exchange places but tie themselves into a knot, remembering the intertwining rather than the path.

A radio signal with layered modulation resembles the cultural layer of an ancient city: each level carries its own information, but over time they get jumbled by interference. Conventional algorithms get lost in this mess. The new TSDN method acts as a neural network archaeologist.

By 2025, large language models like GPT are no longer just chatting: they're helping scientists run experiments. But the same tool could fall into the wrong hands. A team of researchers built a digital proving ground to find out.