PhAI Labs's banner
PhAI Labs's profile picture

PhAI Labs

@PhAILabs • 3,801 subscribers

Building AI for real scientific discovery. Discovery Foundation Models, scientific agents & infrastructure.

Videos

PhAILabs's profile picture

Scientific discovery often requires changing the question itself. Today, PhAI Labs releases the technical report for Discovery Foundation Models (DFM), a research direction for AI systems that can identify valuable unknowns, formulate questions, develop hypotheses, design experiments, and revise their understanding as evidence comes in. The goal is not just to complete one investigation. What a system learns should carry into the next—as reusable methods, accumulated research experience, and better decisions about what to explore. The report introduces a reference architecture, the science infrastructure we're developing, and a wet-lab case study. 🔬 Alongside the report, we're opening the DFM Scientist Collaboration Program. Have a scientific question you'd like to explore with AI? We're inviting scientists, research teams, and experimental platforms to collaborate on meaningful open problems with real opportunities for validation. 🙌 Program details & application: 📅 Over the next three days, we'll introduce three related research efforts: Sep 16 — ScienceBuddy · AI research companion Sep 17 — ScienceIDE · Scientific integrated development platform Sep 18 — JEPA-Anything · Cross-domain scientific world models A research direction we're pursuing with Yingcheng Charles Wu Ling Yang Zhenfei (Jeremy) Yin 📑 DFM technical report: 🔗 DFM research roadmap: 🏠 More about PhAI Labs: #PhAILabs #DFM

PhAI Labs

258,291 просмотров • 1 месяц назад

Больше нет контента для загрузки