Nvidia CEO Jensen Huang calls OpenClaw “the next ChatGPT” and a historic open-source breakthrough, signaling a major shift toward autonomous AI agents.

This illustrates a widespread problem affecting large language models (LLMs): even when an English-language version passes a safety test, it can still hallucinate dangerous misinformation in other ...

A year ago, OpenAI’s ChatGPT was a generic name, the Coke or Kleenex of generative-AI chatbots. Today, its competitors, especially Anthropic’s Claude, are advancing quickly. OpenAI’s fall from favor ...

Meta's Manus AI agent launches "My Computer" for macOS and Windows, enabling local file and app control, a direct response to ...

I n a certain, strange way, generative AI peaked with OpenAI’s GPT-2 seven years ago. Little known to anyone outside of tech ...

Melbourne startup Cortical Labs uses 200,000 human brain cells in a petri dish to play Doom by translating game data into electrical signals.

In this Python for beginners tutorial, you will learn the essentials for data analysis. The tutorial covers how to install Python using Anaconda and set up Jupyter Notebook as your code editor. You ...

The most widely adopted computer language in history, COBOL is now causing a host of problems. It's also dangerously difficult to remove.

Elon Musk unveils “Macrohard,” a Tesla and xAI AI system designed to perform complex computer tasks and potentially replicate the functions of software companies.

So, you’re wondering which programming language is the absolute hardest to learn in 2026? It’s a question that pops up a lot, ...

Abstract: This paper reviews the evolution of Natural Language Processing (NLP) models, concentrating on the distillation techniques used to create efficient and compact versions of large models.

Researchers show AI can learn a rare programming language by correcting its own errors, improving its coding success from 39% to 96%.