AI for Scientific Discovery
Curated tools, papers, and opportunities. No hype—just what actually works.
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View all →48 papers from arXiv & bioRxiv · Updated 6/11/2026
Conformal Risk Prediction for Non-Alcoholic Fatty Liver Disease Using Gradien...
arXiv:2606.09860v1 Announce Type: new Abstract: Non-alcoholic fatty liver disease (NAFLD) affects roughly 25% of global adults, posing substantial hepatic and cardiovascular risks. Yet, population-...
paperStreaming Knowledge Compilation: Proactive Materiality-Scored Pinning for Tim...
arXiv:2606.09877v1 Announce Type: new Abstract: LLM wiki systems compile knowledge into pre-filled KV caches for efficient inference, but assume a static corpus -- an assumption that fails whenever...
paperTD-Grokking: Learning from Zero-Reward Problems by Training-Time Decomposition
arXiv:2606.09883v1 Announce Type: new Abstract: Large language models (LLMs) have made remarkable progress in reasoning tasks, largely driven by post-training paradigms, especially reinforcement le...
paperAlphaFold3: Accurate structure prediction of biomolecular interactions
DeepMind releases updated model handling proteins, DNA, RNA, ligands, and modifications.
toolChai-1: Open foundation model for molecular structure prediction
Multi-modal foundation model achieving state-of-the-art on drug-target interaction benchmarks.
newsRecursion acquires Exscientia for $688M in AI drug discovery consolidation
Major merger signals maturation of AI-native drug discovery platforms.
Categories
Research Papers
Curated papers from arXiv, bioRxiv, and journals with reproducible code and real-world impact.
ToolsModels & Tools
Open-source and commercial tools for drug discovery, protein design, and scientific computing.
JobsOpportunities
ML research roles at biotech companies, pharma, and academic labs.