Hugging Face Inc. has open-sourced the blueprints of two internally developed robots called HopeJR and Reachy Mini. The ...

Learn More Hugging Face has achieved a remarkable breakthrough in AI, introducing vision-language models that run on devices as small as smartphones while outperforming their predecessors that ...

Learn More Hugging Face today unveiled SmolLM, a new family of compact language models that surpass similar offerings from Microsoft, Meta, and Alibaba’s Qwen in performance. These models bring ...

The app, called HuggingSnap, taps Hugging Face’s in-house vision model, smolvlm2, to analyze what your phone sees in real time without sending data off to the cloud. Point your camera and ask a ...

The study from Hugging Face and Carnegie Mellon found that image generation, turning text into an image, took substantially more energy than any other task for generative AI models. Researchers ...

an offline approach means no user data ever leaves your phone, which is always a welcome change from a privacy perspective. HuggingSnap is powered by the SmolVLM2 model developed by Hugging Face.

In fact, generating an image using a powerful AI model takes as much energy as fully charging your smartphone, according to a new study by researchers at the AI startup Hugging Face and Carnegie ...

Purchased for an undisclosed sum, XetHub is staffed by a number of former Apple employees. Hugging Face thinks it will help developers build large-scale models, on par with OpenAI and Google.

Hugging Face, a company that hosts open source artificial intelligence models and software, announced today that it has acquired Pollen Robotics, the French startup behind the bug-eyed, two-armed ...