AutoResearchClaw
19 Mar , 2026 - Scientific research Agents
Multi-agent system basato su OpenClaw per simulare ricerche scientifiche fino alla produzione di paper:https://github.com/aiming-lab/AutoResearchClawhttps://youtube.com/shorts/FRTFUV4dXdc?
19 Mar , 2026 - Scientific research Agents
Multi-agent system basato su OpenClaw per simulare ricerche scientifiche fino alla produzione di paper:https://github.com/aiming-lab/AutoResearchClawhttps://youtube.com/shorts/FRTFUV4dXdc?
30 Nov , 2025 - AI for Astronomy & Astrophysics,Scientific research Agents
A National (US) Mission to Accelerate Science Through Artificial Intelligence – https://genesis.energy.gov/ Building an AI-native Research Ecosystem for Experimental Particle Physics: A Community Vision – https://arxiv.org/abs/2602.17582v1 OpenAI collaboration with DoW – https://openai.com/it-IT/index/us-department-of-energy-collaboration Look also the chineese Scientific Foundation Model – ScienceOne S1 – https://www.scienceone.cn
31 May , 2025 - Scientific research Agents
Exp-Bench (P.T.J.Kon et al., 06.2025) – https://arxiv.org/abs/2505.24785 NovelSeek – Building Closed-Loop System from Hypothesis to Verification https://alpha-innovator.github.io/NovelSeek-project-page/ (B.Zhang et al., 05.2025) – https://arxiv.org/abs/2505.16938 AI-Researcher: Autonomous Scientific Innovation https://github.com/HKUDS/AI-Researcher (J.Tang et al., 05.2025) – https://arxiv.org/abs/2505.18705 ML-Agent: Reinforcing LLM Agents for Autonomous ML Engineering (Z.Liu et al., 05.2025) – https://arxiv.org/abs/2505.23723 The AI Scientist-v2 https://github.com/SakanaAI/AI-Scientist-v2 (Y.Yamada et al., 04.2025) – https://arxiv.org/abs/2504.08066 Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, […]
25 Feb , 2025 - Scientific research Agents
https://research.google/blog/accelerating-scientific-breakthroughs-with-an-ai-co-scientist https://arxiv.org/abs/2502.18864
30 Sep , 2024 - AI for Astronomy & Astrophysics,Scientific research Agents
Interpreting Multi-band Galaxy Observations with LLM-Based Agents (Mephisto) (Z.Sun et al., 09.2024) – https://arxiv.org/abs/2409.14807 Harnessing the Power of Adversarial Prompting and LLMs for Robust Hypothesis Generation in Astronomy (I.Ciucă et al., 06.2023) – https://arxiv.org/abs/2306.11648