Nicola Dell, a computer scientist studying the role of technology in intimate partner violence, cofounded the Center to End ...

Anthropic’s agentic tool Claude Code has been an enormous hit with some software developers and hobbyists, and now the ...

B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack ...

In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its applications. Supervised learning is a type of Machine Learning which learns ...

Dr. Shaw and Dr. Hilton teach software engineering at Carnegie Mellon University. For decades, computer science students have been taught a central skill: using computers to solve problems. In ...

Come along with me on a journey as we delve into the swirling, echoing madness of identity attacks. Today, I present a case study on how different implementations of OAuth 2.0, the core authentication ...

One of the hottest markets in the artificial intelligence industry is selling chatbots that write computer code. Some call it “vibe-coding” because it encourages an AI coding assistant to do the grunt ...

Some of Julie York’s high school computer science students are worried about what generative artificial intelligence will mean for future careers in the tech industry. If generative AI can code, then ...

A website announces, “Free celebrity wallpaper!” You browse the images. There’s Selena Gomez, Rihanna and Timothée Chalamet—but you settle on Taylor Swift. Her hair is doing that wind-machine thing ...

Get solutions for every keycode puzzle in Hell Is Us. Hell Is Us is a game that doesn’t tell you what to do or where to go — and you’ll encounter locked doors, password-sealed computers and safe ...

For an exercise in irony, take a moment to ask ChatGPT why large data centers — noisy and voracious consumers of energy and water — are necessary. The answer it gives is long and complicated, but what ...

The new science of “emergent misalignment” explores how PG-13 training data — insecure code, superstitious numbers or even extreme-sports advice — can open the door to AI’s dark side. There should ...