In our study, a novel SAST-LLM mashup slashed false positives by 91% compared to a widely used standalone SAST tool.

Models trained to cheat at coding tasks developed a propensity to plan and carry out malicious activities, such as hacking a customer database.

Learn Gemini 3 setup in minutes. Test in AI Studio, connect the API, run Python code, and explore image, video, and agentic ...

The Tomorrow’s Quants series explores the skills needed by new quant recruits, drawing on a survey of 39 employers, and six ...

Google unveils Antigravity, a productivity-focused AI coding IDE. Built on VS Code, it enables instant familiarity and plugin support. Screenshots, recordings, and browser testing power agent ...

We're living through one of the strangest inversions in software engineering history. For decades, the goal was determinism; building systems that behave the same way every time. Now we're layering ...

Zed was designed from the ground up for machine-native speed and collaboration. Let’s take a look at the newest IDE and text ...

Masai, India’s leading outcome-driven EdTech platform, has launched its 4-month Applied AI and ML Essentials certification ...

Angie received her M.S. in computer science with a concentration in machine learning from The George Washington University ...

Andrej Karpathy’s weekend “vibe code” LLM Council project shows how a simple multi‑model AI hack can become a blueprint for ...