This blog post serves as a primer for the Arc Virtual Cell Challenge, explaining the goal of training a model to predict the effect of gene silencing using CRISPR, describing the dataset, the…
Hugging Face announced five improvements to Gradio MCP servers as of version 5.38.0: seamless local file support via a File Upload MCP server, real-time progress notifications, one-line…
Hugging Face and collaborators propose FutureBench, a benchmark that evaluates AI agents on their ability to predict future events using real-world prediction markets and news.
Consilium is a multi-LLM platform that allows multiple AI models to discuss complex questions and reach consensus through structured debate, built during the Gradio Agents & MCP Hackathon.
Hugging Face introduces the Ettin Suite, a set of paired encoder-only and decoder-only models (17M-1B parameters) trained on identical data, architecture, and recipes, achieving state-of-the-art…
Hugging Face is migrating the Hub's storage backend from Git LFS to Xet, a new storage system that scales with AI workloads.