The overwhelming majority of tech industry workers use artificial intelligence on the job for tasks like writing and modifying code, a new Google study has found.

A single AI model trained to control numerous robotic bodies can operate unfamiliar hardware and adapt eerily well to serious ...

“They say, ‘We're going to throw out everything in my memory that's very old. For instance, they’ll cut off everything beyond ...

Hands on with GitHub’s open-source tool kit for steering AI coding agents by combining detailed specifications and a human in ...

The AI platform Clarifai has launched a new reasoning engine that it claims will make running AI models twice as fast and 40% ...

Instead of bending a training-centric design, we must start with a clean sheet and apply a new set of rules tailored to ...

With RoboBallet, the complexity of computation also grew with the complexity of the system, but at a far slower rate. (The computations grew linearly with the growing number of tasks and obstacles, ...

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Learn how Google AI Studio simplifies research, enhances collaboration, and unlocks new possibilities for professionals and academics in 2025 ...

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The rapid integration of AI across industries is fundamentally reshaping workplace expectations and skill requirements. While AI tools become increasingly ...