Category: Scientific AI
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Week 28: Scientific AI – Frontier AI Research Brief
AI’s application to scientific discovery reaches new depth this week, with papers on machine learning interatomic potentials, physics-informed neural networks, molecular optimization, and causal modeling. The intersection of AI with the sciences is producing tools that don’t just analyze data but actively drive discovery. Key Developments This Week Physics-Informed Machine Learning. Several papers advance physics-informed…
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Week 26: Scientific AI – Frontier AI Research Brief
A focused look at this week’s most significant advances in scientific ai — 6 papers surveyed from arXiv and leading AI labs. — AI’s role in science is expanding from drug discovery to physics simulation to climate modeling. This week’s papers demonstrate both breadth and depth in scientific applications. Key Developments Graph Neural Networks Applications…
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Week 24, 2026 — Autonomous Scientific Discovery
Week 24, 2026 — Autonomous Scientific Discovery This week in AI research marked a phase shift: the emergence of full-stack scientific AI systems that don’t just assist researchers — they perform scientific work autonomously. A cluster of papers from leading labs demonstrates AI agents reading papers, writing code, generating hypotheses, and even physically handling lab…
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Scientific AI: When Models Become Scientists
42 papers surveyed, 12 core papers retained, 6 miscategorized filtered out | May 2025 – May 2026 — The story of Scientific AI in 2025–2026 isn’t just about applying machine learning to science problems — that’s been happening for years. What changed this year is that AI models began to look less like tools and…