A physics-inspired model calibrated on 40 years of US congressional data pinpoints a spending threshold of roughly 1.8 million USD at which campaigns stop influencing who wins and start fueling polarization instead.
Mathematics
Apr 30, 2026
1
64
Ever had that moment when a song comes on and it feels strangely familiar, like it reminds you of another song that came out just a few months ago? If you feel this phenomenon has become more frequent, then you are not imagining ...
Human languages are known to have grown and changed considerably over the course of history, often reflecting technological, cultural, and societal shifts. Studying the evolution of languages can thus offer valuable insight ...
Every year, the countries competing in the International Mathematical Olympiad arrive with a booklet of their best, most original problems. Those booklets get shared among delegations, then quietly disappear. No one had ever ...
Mathematics
Apr 20, 2026
0
2019
People often solve simple arithmetic problems, such as basic addition, subtraction, multiplication or division, in their minds. The precise mental processes they rely on to solve these problems, however, are not entirely ...
Penn Engineers have developed a new way to use AI to solve inverse partial differential equations (PDEs), a particularly challenging class of mathematical problems with broad implications for understanding the natural world.
Mathematics
May 1, 2026
1
929
A paper appearing in Proceedings of the National Academy of Sciences offers a strikingly simple answer to a longstanding question: How do people learn and settle on shared social conventions, from everyday habits to workplace ...
Mathematics
Apr 23, 2026
0
84
On April 29, the U.S. Supreme Court struck down Louisiana's voting map on the basis that the state had illegally used race as a consideration when it created a new majority-Black district. Observers say the ruling could have ...
Mathematics
May 7, 2026
0
9
The University of Hong Kong (HKU) has spearheaded an international research collaboration to develop a pioneering theoretical framework that deciphers the predictability of complex networks. A research team including Professor ...
Mathematics
May 7, 2026
0
6
Newly published research from a leading computer scientist warns that the use of generative AI to design, train, or perform steps within a machine learning system could increase serious risks. Michael Lones, professor at ...
Mathematics
May 3, 2026
0
29
