ACRouter, a new open-source AI router, learns from execution feedback to pick the best coding model per task, cutting costs 2 ...

Google Brain and DeepMind researcher Andrew Dai, believes that learning from, and reasoning about, images is fundamental to rapid intelligence gains.

Love it or loathe it, AI is reshaping engineering, and the winners will be those who learn to work alongside it.

AI is a powerful brainstorming tool when used correctly. Here's how to write better prompts and refine ideas more effectively ...

Learn what Google’s major AI models do, including Gemini, Veo, Imagen, Nano Banana, Gemma, Lyria, Chirp, and Gemini Nano.

The results were surprisingly good—with a few important caveats. Planning summer travel is hard. Planning it for a busy ...

LLM-PySC2 is NKU Robot Autonomy and Human-AI Collaboration Group and NUDT Laboratory for Big Data and Decision's Python component of the StarCraft II LLM Decision Environment. It wraps Deepmind's ...

General purpose AI tools for science, such as Claude Science, promise to accelerate research. But which is right for you?

ARDY is an autoregressive diffusion model designed for interactive motion generation, supporting online text prompting and flexible long-horizon kinematic constraints (root paths/waypoints, full-body ...

These days, the frontier AI labs are all racing to build self-improving models. Some believe it’s the surest route to ...

Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...

Abstract: Jupyter notebooks have become central in data science, integrating code, text and output in a flexible environment. With the rise of machine learning (ML), notebooks are increasingly used ...