<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>ContentLora: AI for science</title><description>New and updated AI for science pages on ContentLora.</description><link>https://contentlora.com/</link><language>en</language><atom:link href="https://contentlora.com/topics/ai-for-science/feed.xml" rel="self" type="application/rss+xml"/><item><title>AlphaFold</title><link>https://contentlora.com/wiki/alphafold/</link><guid isPermaLink="true">https://contentlora.com/wiki/alphafold/</guid><description>AlphaFold is Google DeepMind&apos;s AI system for predicting protein and biomolecular structures. Versions, accuracy, database and limits.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>ai-for-science</category><category>life-sciences</category><category>ai</category></item><item><title>ECMWF AIFS (Artificial Intelligence Forecasting System)</title><link>https://contentlora.com/wiki/ecmwf-aifs/</link><guid isPermaLink="true">https://contentlora.com/wiki/ecmwf-aifs/</guid><description>The AIFS is ECMWF&apos;s operational AI weather model, running since 2025 beside its physics-based IFS. Performance, energy use and limits.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>ai-for-science</category><category>ai</category><category>science</category></item><item><title>Genesis Mission (US AI-for-science initiative)</title><link>https://contentlora.com/wiki/genesis-mission/</link><guid isPermaLink="true">https://contentlora.com/wiki/genesis-mission/</guid><description>The Genesis Mission is the US government&apos;s DOE-led programme to accelerate science with AI, launched in November 2025. Goals and awards.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>ai-for-science</category><category>ai</category><category>science</category></item><item><title>GNoME (Graph Networks for Materials Exploration)</title><link>https://contentlora.com/wiki/gnome-materials/</link><guid isPermaLink="true">https://contentlora.com/wiki/gnome-materials/</guid><description>GNoME is Google DeepMind&apos;s deep-learning project that predicted 2.2 million new crystal structures. What it found and why critics push back.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>ai-for-science</category><category>ai</category><category>science</category></item><item><title>Isomorphic Labs</title><link>https://contentlora.com/wiki/isomorphic-labs/</link><guid isPermaLink="true">https://contentlora.com/wiki/isomorphic-labs/</guid><description>Isomorphic Labs is the Alphabet-backed AI drug discovery company led by Demis Hassabis. Funding, partners and clinical timeline.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>ai-for-science</category><category>ai</category><category>life-sciences</category></item><item><title>The Materials Project</title><link>https://contentlora.com/wiki/materials-project/</link><guid isPermaLink="true">https://contentlora.com/wiki/materials-project/</guid><description>The Materials Project is an open, DOE-funded database of computed materials properties, now the hub for AI-driven materials discovery.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>materials-science</category><category>science</category><category>ai-for-science</category></item><item><title>Protein Data Bank (PDB)</title><link>https://contentlora.com/wiki/protein-data-bank/</link><guid isPermaLink="true">https://contentlora.com/wiki/protein-data-bank/</guid><description>The Protein Data Bank is the open global archive of 3D biomolecular structures that trained AlphaFold. Size, history and role in AI.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>ai-for-science</category><category>life-sciences</category><category>science</category></item><item><title>RFdiffusion</title><link>https://contentlora.com/wiki/rfdiffusion/</link><guid isPermaLink="true">https://contentlora.com/wiki/rfdiffusion/</guid><description>RFdiffusion is an open-source generative AI model from the Institute for Protein Design that designs new proteins and binders.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>ai-for-science</category><category>life-sciences</category><category>ai</category></item><item><title>Self-driving labs (autonomous laboratories)</title><link>https://contentlora.com/wiki/self-driving-labs/</link><guid isPermaLink="true">https://contentlora.com/wiki/self-driving-labs/</guid><description>Self-driving labs pair AI with robots that plan, run and learn from experiments. The A-Lab, the controversy, and the 2025–26 start-up wave.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>ai-for-science</category><category>ai</category><category>science</category></item><item><title>WeatherNext (GraphCast, GenCast)</title><link>https://contentlora.com/wiki/weathernext/</link><guid isPermaLink="true">https://contentlora.com/wiki/weathernext/</guid><description>Google DeepMind&apos;s AI weather models, from GraphCast and GenCast to WeatherNext 2: how they work and how they compare.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Wiki</category><category>ai-for-science</category><category>ai</category><category>science</category></item><item><title>AI for science tracker: milestones and what to watch</title><link>https://contentlora.com/events/ai-for-science-tracker/</link><guid isPermaLink="true">https://contentlora.com/events/ai-for-science-tracker/</guid><description>Live tracker of AI for science: protein AI, AI weather models, materials, autonomous labs and AI drug discovery, with dated milestones.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Developing</category><category>ai-for-science</category><category>ai</category><category>science</category><category>life-sciences</category></item><item><title>Do AI-designed drugs work? What the clinical evidence shows</title><link>https://contentlora.com/analysis/ai-designed-drugs-evidence/</link><guid isPermaLink="true">https://contentlora.com/analysis/ai-designed-drugs-evidence/</guid><description>AI-designed drug candidates are reaching patients. What trial data show so far, what they don&apos;t, and why &quot;AI-designed&quot; is a contested label.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Analysis</category><category>ai-for-science</category><category>health</category><category>life-sciences</category><category>ai</category></item><item><title>Has AI discovered new materials? The debate over GNoME and A-Lab</title><link>https://contentlora.com/analysis/ai-materials-discovery-debate/</link><guid isPermaLink="true">https://contentlora.com/analysis/ai-materials-discovery-debate/</guid><description>AI has predicted millions of crystals and robots have tried to make them. Why chemists dispute the claims, and what would count as proof.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Analysis</category><category>ai-for-science</category><category>materials-science</category><category>ai</category><category>science</category></item><item><title>AI for science in 2026: a crash course</title><link>https://contentlora.com/explain/ai-for-science/</link><guid isPermaLink="true">https://contentlora.com/explain/ai-for-science/</guid><description>A crash course on AI for science: protein prediction and design, AI weather models, materials and drug discovery, autonomous labs.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Explainer</category><category>ai-for-science</category><category>ai</category><category>science</category><category>life-sciences</category></item><item><title>How AI designs new proteins, drugs and materials</title><link>https://contentlora.com/explain/how-ai-discovers-molecules-and-materials/</link><guid isPermaLink="true">https://contentlora.com/explain/how-ai-discovers-molecules-and-materials/</guid><description>How generative AI proposes new proteins, drug molecules and crystals, and why every design still has to be made and tested in a lab.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Explainer</category><category>ai-for-science</category><category>ai</category><category>science</category><category>life-sciences</category></item><item><title>How AI predicts protein structures</title><link>https://contentlora.com/explain/how-ai-predicts-protein-structures/</link><guid isPermaLink="true">https://contentlora.com/explain/how-ai-predicts-protein-structures/</guid><description>Why a protein&apos;s 3D shape matters, how AlphaFold-style models predict it from sequence, and what they still get wrong.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Explainer</category><category>ai-for-science</category><category>life-sciences</category><category>ai</category><category>science</category></item><item><title>How AI weather models work</title><link>https://contentlora.com/explain/how-ai-weather-models-work/</link><guid isPermaLink="true">https://contentlora.com/explain/how-ai-weather-models-work/</guid><description>How machine-learning weather models learn from decades of past weather, why they are so fast, and how forecasters now use them.</description><pubDate>Sat, 10 Oct 2026 00:00:00 GMT</pubDate><category>Explainer</category><category>ai-for-science</category><category>ai</category><category>science</category></item></channel></rss>