GitHub - modelcontextprotocol/servers: Model Context Protocol Servers
Official integrations are maintained by companies building production ready MCP servers for their platforms. 21st.dev Magic - Create crafted UI components inspired by the best 21st.dev design engineers. 2slides - An MCP server that provides tools to convert content into slides/PPT/presentation or generate slides/PPT/presentation with user intention. ActionKit by Paragon - Connect to 130+ SaaS inte
AI Agents are disrupting automation: Current approaches, market solutions and recommendations
Investor POV AI Agents are disrupting automation: Current approaches, market solutions and recommendations The mainstreaming of AI tools has ignited hope for dramatic productivity improvements for knowledge workers and consumers alike. Transformer-based Large Language Models (LLMs) have demonstrated AI capabilities that are transforming workflows with new automation approaches. In the article belo
MAI-Thinking-1: Building a Hill-Climbing Machine The Microsoft AI Team 1 Abstract Progress in AI is driven not by a single model, but by the ability to continually improve upon the current state of models. Achieving this requires treating model development as a system-level optimization problem, for which the solution is building a hill-climbing machine for rapid improvement. Our process includes
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AI as Normal Technology
A project studying how advanced AI systems may harm, or help strengthen, democratic freedoms We articulate a vision of artificial intelligence (AI) as normal technology. To view AI as normal is not to understate its impact—even transformative, general-purpose technologies such as electricity and the internet are “normal” in our conception. But it is in contrast to both utopian and dystopian vision
ML Contests
Discover machine learning, data science & robotics competitions 20 docker submissions; oral presentation invitation for top 3; poster presentation invitation for top 10; souvenirs for top 4-10; certificates for top 10","platform":"Codabench","sponsor":null,"conference":"CVPR","conference-year":2026,"additional_urls":["https://fmv-cvpr26workshop.github.io/"]},{"name":"Predict Liver-Related Events f
Accepted at ICLR 2026 (Oral). GEPA: REFLECTIVE PROMPT EVOLUTION CAN OUTPER- FORM REINFORCEMENT LEARNING Lakshya A Agrawal1 , Shangyin Tan1 , Dilara Soylu2 , Noah Ziems4 , Rishi Khare1 , Krista Opsahl-Ong5 , Arnav Singhvi2,5 , Herumb Shandilya2 , Michael J Ryan2 , Meng Jiang4 , Christopher Potts2 , Koushik Sen1 , Alexandros G. Dimakis1,3 , Ion Stoica1 , Dan Klein1 , Matei Zaharia1,5 , Omar Khattab6
111 A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT YIHAN CAO∗, Lehigh University & Carnegie Mellon University, USA SIYU LI, Lehigh University, USA YIXIN LIU, Lehigh University, USA ZHILING YAN, Lehigh University, USA YUTONG DAI, Lehigh University, USA PHILIP S. YU, University of Illinois at Chicago, USA LICHAO SUN, Lehigh University, USA Recen
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MAI-Thinking-1: Building a Hill-Climbing Machine
HuggingFaceFW/fineweb · Datasets at Hugging Face
GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT