New AGI lab aims to revolutionize machine learning with symbolic models, moving beyond traditional deep learning.

The compiler analyzed it, optimized it, and emitted precisely the machine instructions you expected. Same input, same output.

A new study by Justin Grandinetti of the University of North Carolina at Charlotte challenges one of the most dominant narratives in artificial intelligence: that modern AI systems are inherently ...

OpenProtein.AI is helping biologists stay on the cutting edge of AI with a no-code platform for protein engineering.

Sam Altman, the Stanford dropout who helped turn OpenAI into a global AI powerhouse, is facing scrutiny over his technical ...

Inside OpenAI’s ‘self-operating’ infrastructure, where Codex-powered AI agents debug failures, manage releases, and compress ...

As large models, reliable robotic hardware, and real-world data flywheels converge, embodied AI is rapidly evolving into a new production infrastructure. Building on the industry's shift from ...

Lessons on digital citizenship, coding, debugging code, prompting AI, and analyzing AI outputs help students develop valuable ...

Picture a futuristic swarm of robots deployed on a time-sensitive task, like cleaning up an oil spill or assembling a machine ...

Understanding ocean currents is important for work such as weather forecasting, climate research, search-and-rescue ...

OpenClaw itself is not a cloud platform. But if you deploy it carelessly, it will expose you to every common cloud-era ...