Hugging Face is widely used in research and enterprise AI, supporting everything from text generation to image recognition, ...

In 2017, a significant change reshaped Artificial Intelligence (AI). A paper titled Attention Is All You Need introduced ...

Researchers at Reversing Labs have discovered two malicious machine learning (ML) models available on Hugging Face, the leading hub for sharing ... “Picklescan, for example, first validates Pickle ...

Dubbed “nullifAI,” a Tactic for Evading Detection in ML Models Targeted Pickle Files, Demonstrates Fast-Growing Cybersecurity Risks Presented by ...

Learn More Hugging Face and Physical Intelligence have quietly ... Pi0 represents a significant technical achievement. The model was trained on data from seven different robotic platforms and ...

The researchers used distillation to draw from Google’s Gemini reasoning model. The researchers used distillation to draw from Google’s Gemini reasoning model. Emma Roth is a news writer who ...

Cybersecurity researchers have uncovered two malicious machine learning (ML) models on Hugging Face that leveraged an unusual technique of "broken" pickle files to evade detection. "The pickle files ...

While Hugging Face’s AI agent isn’t as accurate compared to OpenAI’s Deep Research, the new feature has already reached 55.15 per cent accuracy on the General AI Assistants benchmark, which is often ...

Hackers have found ways to hide malicious code in AI models hosted on the Hugging Face platform, ReversingLabs researchers warn. At least two machine-learning models containing malicious code have ...

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