WERE STABBED ON SOUTH LIBERTY STREET WHO KILLED 16 YEAR OLD ROXANNE SHARP. THAT IS THE BIG QUESTION THAT INVESTIGATORS ARE WORKING TO SOLVE. IT IS A 44 YEAR OLD NORTH SHORE COLD CASE. BUT NEW LEADS ...

The 50-year-old phantom radio signal that has utterly stumped scientists. Until now? The bond market is flashing a signal not seen since before the 2008 crisis This town just recorded the hottest ...

Amazon's e-commerce site suffered major outages in recent weeks. One outage was linked to internal use of an AI coding tool. Amazon SVP Dave Treadwell proposes new code controls in documents obtained ...

The sell-off followed a blog post from Anthropic touting its Claude Code AI assistant as a way to modernize massive codebases written in COBOL, the decades-old programming language that still powers ...

C# was named TIOBE's Programming Language of the Year after recording the largest year-over-year gain in the index. Python continues to rank first in the TIOBE index, while C, Java, and C++ saw ...

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 ...

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 ...

Abstract: Global navigation satellite system (GNSS) code biases are a significant source of error in ionospheric total electron content (TEC) modeling and inversion ...

Anthropic is launching Claude Code in Slack, allowing developers to delegate coding tasks directly from chat threads. The beta feature, available Monday as a research preview, builds on Anthropic’s ...

Wake school system administrators are already being trained on the school system's new safety response system and schools, students and community members will start training in March. The Standard ...

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.