科学家只管提问题，AI负责跑实验：深势科技把科研全流程搬进桌面
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Merged summary
TL;DR - Deep Potential Technology launched the public beta of Bohr Science Space, a desktop environment where AI agents can manage research workflows from literature review and hypothesis design through computation, analysis, writing, and review. It aims to reduce scientists’ operational workload while keeping them responsible for questions, decisions, and validation.
- SciMaster searches more than 200 million papers and patents, interprets multimodal scientific content, identifies knowledge gaps, and proposes testable hypotheses and experimental plans.
- Domain agents BioMaster, PharmMaster, and MatMaster support bioinformatics, drug discovery, and materials research by coordinating data, models, software, and compute resources.
- The SciX agent framework decomposes long-running research tasks, invokes over 50,000 deployed scientific tools, checks intermediate results, and diagnoses execution failures in recoverable sandboxes.
- The platform also supports reproducible workflows, scientific visualization, LaTeX drafting, citation and evidence review, and future integration with laboratory instruments through Uni-Lab-OS.
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科学家只管提问题，AI负责跑实验：深势科技把科研全流程搬进桌面
TL;DR - Deep Potential Technology launched the public beta of Bohr Science Space, a desktop environment where AI agents can manage research workflows from literature review and hypothesis design through computation, analysis, writing, and review. It aims to reduce scientists’ operational workload while keeping them responsible for questions, decisions, and validation.
- SciMaster searches more than 200 million papers and patents, interprets multimodal scientific content, identifies knowledge gaps, and proposes testable hypotheses and experimental plans.
- Domain agents BioMaster, PharmMaster, and MatMaster support bioinformatics, drug discovery, and materials research by coordinating data, models, software, and compute resources.
- The SciX agent framework decomposes long-running research tasks, invokes over 50,000 deployed scientific tools, checks intermediate results, and diagnoses execution failures in recoverable sandboxes.
- The platform also supports reproducible workflows, scientific visualization, LaTeX drafting, citation and evidence review, and future integration with laboratory instruments through Uni-Lab-OS.