Researchers at Fudan, Harvard, and Stony Brook University recently explored the evolution of 22 languages using a combination of artificial intelligence (AI) tools, statistical methods, and a massive cache of real linguistics data. Their paper, published in Proceedings of the Royal Society B Biological Sciences, identifies a common statistical structure for all the languages they examined and the patterns underpinning their evolution.

Andrew Singer
Carl W. Lejuez
Klaus Mueller
Lav Varshney

The State University of New York at Stony Brook is making strong progress toward the launch of a new department, the Department of Technology, AI and Society (DTAS), to be housed in the College of Engineering and Applied Sciences (CEAS).

The new department was conceived and will be launched thanks to $5 million in funding from the State University of New York (SUNY). The department will become a vital component of an expansive focus on artificial intelligence that has been in development at the university for several years.

For generations, the doctoral dissertation has been more than a scholarly document. It is a rite of passage that transforms students into scholars and is characterized by the defining quality of original thought. In dissertation defenses across the country, however, many faculty now grapple quietly with whether, and how much of, the work was produced with the help of generative AI.