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SIGN-AIR: real-time sign language recognition and translation using gesture-aware neural networks on aerial robotic platforms

Scientific Reports, Published online: 30 August 2026; doi:10.1038/s41598-026-68713-1 SIGN-AIR: real-time sign language recognition and translation using gesture-aware neural networks on aerial robotic platforms

We haven't written up this one. Scientific Reports has the full story — the link below goes straight to it.

Read the original at nature.com →

More in AI

Introducing Hy4 Preview

Introducing Hy4 Preview New open weight text input (no vision) LLM from Chinese company Tencent today: 770B total parameters, 49B active parameters, 1M token context window, 1.56TB on Hugging Face .

  • Tencent unveils Hy4, a 770 billion parameter LLM with 49 billion active parameters.
  • Context window of Hy4 extends to one million tokens, a significant increase from Hy3.
  • Hy4 offers only two reasoning effort levels: high and nothink.

A Finding Is Not a Discovery

This is the first contest I have entered. I built the honesty controls before I built the agent, which is probably backwards for a hackathon and exactly what I wanted to learn from.

Microsoft Strips Copilot's Free Features — and Puts Deep Research Behind a Subscription

Open the Microsoft Copilot app this week and it may be missing a few things you used. As of 18 August, Microsoft began retiring a clutch of free consumer features — the standout being Deep Research…

  • Microsoft removes free features from Copilot app
  • Deep Research replaced by Researcher for $19.99/month
  • Users must manually save and retrieve content before 18 August deadline

AI Creates, AI Delivers, AI Fails — Quality Assurance for Unwatched Systems

📝 Originally published (in Japanese) at forge.workstyle.tech . Building a Fully Automated AI Avatar Streaming System on YouTube and Twitch I built a system that lets AI avatars stream continuously on…

  • Traditional testing assumptions don't apply to unmanned AI streaming system
  • Focus shifted from output correctness to system behavior and guarantees
  • Human intervention needed for certain bugs despite extensive automated testing

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