Winter storm warning as 22 inches of snow to hit — stay indoors Van dwellers given 24 hours to leave city street Judge orders slavery exhibit to be restored after Trump administration removal New ...

Abstract: Vulnerability detection in source code has been a focal point of research in recent years. Traditional rule-based methods fail to identify complex and unknown vulnerabilities, leading to ...

TIOBE Index for January 2026: C Pushes Ahead as the Chase Group Shifts Again Your email has been sent January 2026 TIOBE Index: Python stays far ahead; C strengthens at #2, Java edges past C++, C# is ...

A recent lawsuit filed in San Diego Superior Court alleges that Sharp HealthCare recorded conversations between doctors and their patients without written consent, using the information to document ...

Back in July, Microsoft revealed how it is heavily incorporating AI into its development workflows. It talked about its in-house AI-powered coding assistant being leveraged for code reviews of over ...

Microsoft is taking an impressive step in modernizing its biggest codebases and will eliminate all C/C++ code by the end of the decade, replacing it with Rust. “My goal is to eliminate every line of C ...

Qiang Tang receives funding from Google via Digital Future Initiative to support the research on this project. Moti Yung works for Google as a distinguished research scientist. Yanan Li is supported ...

Phil Sharp’s RNA discovery reshaped science, medicine, and the global biotech industry. A groundbreaking look at Phil Sharp’s rise from being a rural Kentucky farm boy who battled dyslexia to Nobel ...

A groundbreaking look at Phil Sharp’s rise from being a rural Kentucky farm boy who battled dyslexia to Nobel Prize-winning scientist. Narrated by Mark Ruffalo with insights from Walter Isaacson, ...

Premieres Monday, Oct. 6, 2025 at 11 p.m. on KPBS TV / Stream with KPBS+ / Encore Wednesday, Oct. 8 at 8 p.m. on KPBS 2 “Cracking the Code: Phil Sharp and the Biotech Revolution” is an inspiring story ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.