Hugging Face unveils ToyBlocks, a simulated world for robot learning and evaluation

Related stories

• NVIDIA Releases Cosmos 3 Open Models for Interactive World Simulation

  NVIDIA has released the Cosmos 3 open models on Hugging Face, designed for interactive world simulation. The models aim to enable real-time, controllable simulation of environments, supporting applications in robotics, autonomous driving, and embodied AI.

  1 reports · 1 sourcesyesterday

• Hugging Face Introduces ThinkingBox for Post-Training Agents with Database Grading as RL Rewards

  Hugging Face published a blog post describing ThinkingBox, a method for post-training agents by converting database grading into reinforcement learning (RL) rewards. The approach enables agents to be trained using feedback from database query evaluation, potentially improving their performance on tasks involving data manipulation.

  1 reports · 1 sources2 weeks ago

• Tadpole: Autoencoder Foundation Model for 3D PDEs with Online Learning

  Researchers propose Tadpole, an autoencoder-based foundation model for 3D partial differential equations (PDEs), which learns to compress physical states before predicting evolution, with online learning capabilities. The approach differs from typical predictive models by first learning the spatial structure of physical fields, aiming to improve transferability across different physical systems.

  1 reports · 1 sources3 weeks ago
  

• Hugging Face releases Carbon-X, open-source 14B-parameter model for natural language DNA queries

  Hugging Face has released Carbon-X, an open-source multimodal AI model with 14 billion parameters, trained on 300 billion tokens. The model enables researchers to query DNA sequences using natural language and understand the effects of genetic changes on gene activity and health.

  1 reports · 1 sources2 weeks ago