The University of Sindh, Jamshoro conducted the Pre-Entry Test for admissions to the LLM (Evening) program for the academic year 2026 at the Institute of Mathematics and Computer Science (IMCS) on ...

Elyse Cox ’27, Jacqueline Stark LLM ’25, and Denis McGrath ’27—emerged as victors in the world finals in the Manfred Lachs ...

The fate of Cursor and Replit and the rest could follow a number of paths. Cursor recently announced it is developing its own AI models focused on code, an apparent attempt to lessen its dependence on ...

The proof-of-concept could pave the way for a new class of AI debuggers, making language models more reliable for business-critical applications.

What will happen to U.S. healthcare if the federal government shuts down next week? That question is on the minds of patients, providers, and health policy experts as the clock ticks down to Sept. 30, ...

Abstract: Traditional hub casting character recognition heavily relies on manual labor, which is not only labor-intensive and time-consuming but also inefficient. To make the recognition process ...

WASHINGTON (Reuters) -U.S. President Donald Trump said on Tuesday at the White House that his administration planned to produce a list on Friday of "Democrat programs" that will be closed as a result ...

Sarina Trangle started as a corporate news reporter in October 2024. She previously spent four years on the business desk at Newsday, covering the health industry, commercial real estate and cannabis.

WASHINGTON — The Department of Army today announced the launch of the Janus Program, a next-generation nuclear power program that will deliver resilient, secure, and assured energy to support national ...

Army Secretary Daniel Driscoll participated in Tuesday's announcement of the Janus Program, aimed at putting small nuclear power generation reactors on U.S. Army bases. (Manuel Balce Ceneta/AP) U.S.

According to Andrej Karpathy (@karpathy) on Twitter, nanochat is a newly released open-source project that provides a minimal, from-scratch, full-stack training and inference pipeline for building a ...

Abstract: Traditional domain-specific causal discovery relies on expert knowledge to guide the data-based structure learning process, thereby improving the reliability of recovered causality. Recent ...