MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.

“So white-collar work, where you’re sitting down at a computer, either being a lawyer or an accountant or a project manager or a marketing person most of those tasks will be fully automated by an AI ...

According to Dr. Rasa Brūzgienė, Associate Professor at the Department of Computer Sciences at Kaunas University of ...

Vibe coding is a fast-growing way to build software with AI by describing what you want, enabling teams to create useful ...

Discover the world of Recursive Self-Improvement (RSI) in AI. From I.J. Good's intelligence explosion to modern self-healing code and clinical applications, explore who is developing it, how it works, ...

OpenAI has launched a new Codex desktop app for macOS that lets developers run multiple AI coding agents in parallel, ...

Tesla appears to be quietly rolling out a new version of its Full Self-Driving computer, with new Model Y owners discovering their vehicles are equipped with “Hardware 4.5”, or AI4.5 as it’s being ...

Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By ...

The key is that when building an AI industry, infrastructure decisions must serve several purposes at once: technological ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

In 1930, a young physicist named Carl D. Anderson was tasked by his mentor with measuring the energies of cosmic rays—particles arriving at high speed from outer space.

These low-floor, high-ceiling problems support differentiation, challenging all students by encouraging flexible thinking and allowing for multiple solution paths.