{"slug": "novel", "title": "NOVEL", "summary": "DeepMind's AlphaTensor, AlphaDev, and FunSearch are among 20 AI systems for scientific discovery catalogued with their publications and code repositories. The list includes projects like AI Feynman for symbolic regression, GNoME for materials discovery, and Protein Hallucination for protein design, each linked to a DOI and GitHub where available.", "body_md": "Here’s a list with the model/project name, a DOI (or stable arXiv identifier), and the GitHub repository where available.\n\n- AlphaTensor -\n`10.1038/s41586-022-05172-4`\n\n-[https://github.com/deepmind/alphatensor](https://github.com/deepmind/alphatensor) - AlphaDev -\n`10.1038/s41586-023-06004-9`\n\n-[https://github.com/google-deepmind/alphadev](https://github.com/google-deepmind/alphadev) - AlphaEvolve -\n`10.48550/arXiv.2409.09756`\n\n- N/A - AlgoPilot -\n`10.48550/arXiv.2410.18944`\n\n- N/A - FunSearch -\n`10.1038/s41586-023-06924-6`\n\n-[https://github.com/google-deepmind/funsearch](https://github.com/google-deepmind/funsearch) - Latent Program Network (LPN) -\n`10.48550/arXiv.2306.05278`\n\n-[https://github.com/ziyu-chen/lpn](https://github.com/ziyu-chen/lpn) - Neural Logic Induction (Gradient-Based Program Synthesis) -\n`10.48550/arXiv.2109.04870`\n\n-[https://github.com/nju-websoft/NLI](https://github.com/nju-websoft/NLI) - AI Feynman -\n`10.1126/sciadv.aay2631`\n\n-[https://github.com/SJ001/AI-Feynman](https://github.com/SJ001/AI-Feynman) - AI-Newton -\n`10.48550/arXiv.2304.14522`\n\n- N/A - Deep Symbolic Regression (DSR) -\n`10.48550/arXiv.1912.04871`\n\n-[https://github.com/brendenpetersen/deep-symbolic-regression](https://github.com/brendenpetersen/deep-symbolic-regression) - Φ-SO (Physical Symbolic Optimization) -\n`10.48550/arXiv.2306.15429`\n\n-[https://github.com/WassimTenachi/Phi-SO](https://github.com/WassimTenachi/Phi-SO) - MOOD (Molecular Out-Of-distribution Diffusion) -\n`10.48550/arXiv.2305.11412`\n\n-[https://github.com/yangqy1110/MOOD](https://github.com/yangqy1110/MOOD) - Protein Hallucination -\n`10.1126/science.abf3573`\n\n-[https://github.com/sokrypton/trRosetta2](https://github.com/sokrypton/trRosetta2) - NEAT -\n`10.1162/106365602320169811`\n\n-[https://github.com/CodeReclaimers/neat-python](https://github.com/CodeReclaimers/neat-python) - Novelty Search -\n`10.1145/2001576.2001608`\n\n- N/A - POET -\n`10.1145/3321707.3321799`\n\n-[https://github.com/uber-research/poet](https://github.com/uber-research/poet) - OMNI -\n`10.48550/arXiv.2306.01711`\n\n- N/A - Knot Theory Discovery -\n`10.1038/s41586-021-04086-x`\n\n-[https://github.com/deepmind/deepmind-research/tree/master/knot_theory](https://github.com/deepmind/deepmind-research/tree/master/knot_theory) - Finite Simple Groups Theorem (Representation Theory) -\n`10.1038/s41586-021-04086-x`\n\n-[https://github.com/deepmind/deepmind-research/tree/master/representation_theory](https://github.com/deepmind/deepmind-research/tree/master/representation_theory) - Hadwiger-Nelson Problem Solver - N/A - N/A\n- LEMMANAID -\n`10.1007/978-3-031-10769-6_26`\n\n- N/A - GNoME -\n`10.1038/s41586-023-06735-9`\n\n-[https://github.com/google-deepmind/materials_discovery](https://github.com/google-deepmind/materials_discovery) - Dusty Plasma Force Law Discovery -\n`10.1063/5.0054114`\n\n- N/A\n\nLet me know if you want me to track down any specific official implementation or fill in a missing field.", "url": "https://wpnews.pro/news/novel", "canonical_source": "https://gist.github.com/CypherpunkSamurai/34de418b76ebd05a28eed2cc1fa092a2", "published_at": "2026-05-04 06:11:02+00:00", "updated_at": "2026-05-26 10:35:16.868502+00:00", "lang": "en", "topics": ["artificial-intelligence", "machine-learning", "ai-research", "ai-tools", "neural-networks"], "entities": ["DeepMind", "AlphaTensor", "AlphaDev", "AlphaEvolve", "FunSearch", "AI Feynman", "AI-Newton", "Deep Symbolic Regression"], "alternates": {"html": "https://wpnews.pro/news/novel", "markdown": "https://wpnews.pro/news/novel.md", "text": "https://wpnews.pro/news/novel.txt", "jsonld": "https://wpnews.pro/news/novel.jsonld"}}