非营利机构FutureHouse在《自然》发表论文，推出全球首个全闭环自动化科学发现AI系统Robin。该系统整合三个分工明确的AI智能体，能在两小时内完成人类科学家需近四个月、约900小时的工作，实现从假设提出到验证的全流程自动化，堪称不知疲倦的科研梦之队。
Inworld AI发布实时TTS-2语音模型，通过API预览版实现突破。与传统文本转语音不同，该模型能实时感知用户语调、节奏和情感，采用闭环系统架构，无需依赖文字转录，提供更自然流畅的对话体验。
日本研究团队成功训练大鼠皮层神经元，利用实时机器学习框架生成复杂时序信号。这一突破为神经元在AI计算中的应用开辟新路径。团队通过结合活体神经元、高密度微电极阵列和微流控设备，构建了“闭环储备池计算”系统，展示了生物神经元在信息处理方面的潜力。
清华团队研发可穿戴闭环神经刺激系统，通过眼镜框上的柔性传感器实时监测面部肌肉活动，实现对面肌痉挛的精准评估与治疗，成果发表于《自然·通讯》。
Productlane是一个结合快速客户支持系统和管理反馈工具的产品，帮助您闭环所有事务并交付精心打造的产品。
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一个基于强化学习的智能电商对话代理系统，集成了本体推理、业务工具链、对话记忆和Gradio界面，通过Stable Baselines3 PPO算法实现从数据到训练再到部署的闭环学习，能自主优化购物助手的决策策略。
该项目提供基于ReasoningBank闭环学习的智能规划和目标执行代理系统，支持动态规划、自适应重规划和持续学习改进，适用于复杂多步骤任务部署场景
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