Hugging Face releases MolmoMotion for 3D motion forecasting
The model predicts 3D point trajectories from video frames and action descriptions, outperforming existing methods.
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In short: Hugging Face released new models and tools, faced security concerns, and collaborated with major AI organizations to advance open-source AI development.
The model predicts 3D point trajectories from video frames and action descriptions, outperforming existing methods.
The SDK enables a single agent to record, simulate, and deploy policies on real robots with one code change.
The model features 1M token context, improved coding, and open-source MIT license.
It is an evaluation tool for LLM development, building on OLMES, offering flexible benchmarks and pairwise comparisons.
A flaw in Hugging Face Transformers could allow malicious AI models to execute code, exposing credentials and highlighting AI ...
ICRA 2026 is underway in Vienna, where a record 5,088 paper submissions and the rapid growth of Hugging Face’s LeRobot open-source robotics platform define Day...
Humanoid robots remain out of reach for most people due to their high cost...
Microsoft Threat Intelligence said Monday that attackers inserted malicious code into a Mistral AI...
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