Hugging Face
AI Platform
Open-source ML platform, model hub, Transformers library.
Recent activity
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The State of Simulation for Physical AI: An Overview
Simulation for physical AI systems relies on generating large amounts of physically grounded data, which is challenging to collect in the real world due to safety, cost, and practicality concerns. Simulation engines like MuJoCo, Isaac Sim, and others can generate photorealistic data using GPU parallelism, enabling developers to train reinforcement learning policies and test policies against rare scenarios. The choice of simulation engine depends on factors such as scalability, sensor support, 3D asset formats, and environmental fidelity required for the specific use case. AI summary
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Grabette: an open system to record robot-manipulation data
Grabette is an open-source system for recording robot-manipulation data, allowing users to capture demonstrations with a handheld gripper and a camera, and then process the data into a robot-ready dataset. The system consists of a handheld device (Grabette) and a motorized gripper (Gripette) that work together to record and execute tasks, with the goal of creating a large, open, and collaborative dataset for robot learning. Users can build Grabette using standard components and a Raspberry Pi, and then use the system to record demonstrations and generate datasets for training machine learning models. AI summary
Read more → - Newer Models, Same Advantage Read more →
- Security incident disclosure — July 2026 Read more →
- What building Shippy taught us about building agents Read more →
- Model Routing Is Simple. Until It Isn’t. Read more →
- Introducing Real World VoiceEQ: Measuring the human quality of voice AI Read more →
- Welcome Inkling by Thinking Machines Read more →
- Profiling in PyTorch (Part 3): Attention is all you profile Read more →
- Native-speed vLLM transformers modeling backend Read more →