JUAN LI · AI4SCIENCE
每日简报最近值得追踪的 AI4Science 动态
正在从公开官方信源整理最近动态。
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回到完整动态与证据 → · 历史日报 →Snapshot · 2026-10-14T01:04:14Z
Juan Li · AI4Science
Juan Li · AI4Science is an open, bilingual, source-grounded automated intelligence index for AI for Science, built for researchers and agents. Discover how AI is changing scientific research, find the original sources, and follow related developments. Content is AI-generated and not individually human-reviewed; verify original sources before citing.
Recent developments and original sources
- AI causes uproar in mathematics as experts warn against sharing research with LLMs after OpenAI shares 722 manuscripts and proofs
- This is normal bad work
- Import AI 476: Humanity’s Sixth Sense benchmark shows AI visual reasoning lags humans
- Generative AI has changed mathematics forever. Where to from here?
- Why AlphaFold Didn't Solve Protein Folding — Pushmeet Kohli, Google DeepMind & Sal Candido, Biohub
- Pointing AI at archives found a forgotten meteorite, lost rhinos, and more
- MaRN: a PyTorch library for training neural networks through low-dimensional parameter mappings
- Ai2 at COLM 2026: Open research, from models to agents for science
- Advancing chemical reaction prediction in data-scarce drug discovery with active and geometric deep learning
- Dataset of DInSAR wrapped phase signals for AI-based automated detection and classification of mass movements
- Photonic circuits become trainable AI hardware
- The missing map of the sky: the first complete ultraviolet view
- Periodic Labs on "Synthesis Superintelligence": Training AI Scientists on Real Experiments
- Why is Anthropic running a biology lab?
- China's XtalPi debuts Kodexia™ as world's first closed-loop siRNA platform
- CircuitATLAS: Agentic reasoning over a systems neuroscience knowledge graph for target discovery in circuitopathies
- Equivariant Graph Neural Networks Accelerate Dynamic Polarizability Calculations for Organic Molecules
- Humanity's Sixth Sense: Benchmarking Intuitive Visual Reasoning in Multimodal Models
- Deep learning driven framework for optimization of polycrystalline microstructures under competing strength requirements
- Researchers fear being scooped by AI, as OpenAI's announcement timing draws questions
- WOVEN: Weaving Visual World Modeling into Multimodal LLMs
- A Closer Look at Agentic BBO: Benchmarking LLM Agents for Black-Box Optimization
- Species Distribution, Antifungal Susceptibility, and Machine Learning-Based Prediction of Optimal Therapies Against Candida Species
- Thinking Inertia: LLMs Keep Thinking When Told Not To
- OpenAI paper on Kohn-Sham DFT: a Coulomb ground-state density without ensemble representation
- The Mathocalypse
- Complementary remarks from Gary Marcus and Terence Tao on OpenAI's giant math drop - Marcus on AI | Substack
- Google DeepMind and Meta Join Biohub's $1.8 Billion AI Biology Push
- OpenAI releases 722 AI-generated mathematics papers as verification questions arise
- Machine learning for clinical time-series forecasting: an interview with Mayra Elwes
领域
领域
进入科学问题本身
机构
机构
公司、研究机构与非营利实验室
人物
人物
沿时间追踪公开观点与研究节点
议题
议题
跨越不同科学领域反复出现的问题
RELATED TIMELINE
沿时间看主要节点
Juan Li · AI4Science 提供有来源、有脉络的全球科学智能动态与日报。 Juan Li · AI4Science publishes source-grounded AI-for-Science updates and daily briefs.