Industrial R&D teams sit on a goldmine of testing and operational data. But until now, unlocking that data required costly, ...

Designing quantum experiments Left: the AI takes the first three from a class of target quantum states and produces a Python ...

Within hours I paused an ongoing Opus 4.7 benchmark, swapped the API keys, and ran the exact same methodology on ...

DeepSeek V4 arrives in Pro and Flash variants with a 1M token context window, lower inference costs, and a stronger push into ...

Kimi K2.6 builds on Kimi K2.5 with stronger coding, better tool use, lower hallucination rates, native multimodal input, and ...

An internal Google memo, first circulated in early April 2026 and since described by multiple people familiar with its ...

A former Snowflake data scientist who refined multi-billion-dollar forecasts is now building AI models that outperform Claude ...

Our Goal In the fast-evolving landscape of AI, we saw an opportunity to revolutionize local election coverage in our newsroom by reducing manual, repetitive tasks so our journalists could focus on ...

A practical guide to Perplexity Computer: multi-model orchestration, setup and credits, prompting for outcomes, workflows, ...

AI is transforming research. These AI tools for research will help you keep up with the times and take your research to the next level.

We tried out Google’s new family of multi-modal models with variants compact enough to work on local devices. They work well.

Learn prompt engineering with this practical cheat sheet that covers frameworks, techniques, and tips for producing more ...