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实体 Autonomous Systems

Autonomous Systems

PulseAugur coverage of Autonomous Systems — every cluster mentioning Autonomous Systems across labs, papers, and developer communities, ranked by signal.

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最近 · 第 1/1 页 · 共 7 条
  1. RESEARCH · CL_45316 ·

    Microsoft opens AI lab in Tulsa's historic Greenwood district

    Microsoft has partnered with Black Tech Street to launch the Greenwood Cyber + AI Lab in Tulsa, Oklahoma. This new facility aims to foster innovation in AI, cybersecurity, and autonomous systems, with a focus on workfor…

  2. RESEARCH · CL_43918 ·

    多智能体强化学习赋能超人般无人机竞速,安全性得到提升

    研究人员开发了一个多智能体强化学习系统,使自主四旋翼无人机能够在动态的真实环境中安全有效地竞速。通过基于联盟的自我对抗训练智能体,该系统学会了诸如避碰和战略机动等复杂行为,在高速比赛中表现优于人类飞行员。与单智能体方法相比,这种方法显著降低了碰撞率,并展示了实现稳健机器人共存的有前景的途径。

  3. TOOL · CL_37536 ·

    AI trial of the century concludes with ambiguous settlement

    A highly anticipated legal case, dubbed the "AI trial of the century," has concluded without a clear verdict. The proceeding, which aimed to establish accountability for autonomous systems, ended in an ambiguous settlem…

  4. COMMENTARY · CL_31705 ·

    AI和数据主权对自主系统至关重要

    自主系统的日益普及需要一个强大的AI和数据主权框架。这包括确保用于训练和运行AI的数据仍由其合法所有者控制,尤其是在金融服务等敏感行业。为代理式AI有效准备数据对于这些行业利用先进功能同时保持安全性和合规性至关重要。

  5. SIGNIFICANT · CL_29190 ·

    SPARC AI 开创 GPS 自由无人机导航新纪元;AI 赋能金融、光学及专业服务领域变革

    SPARC AI 开发了一种新型的自主系统 GPS 自由导航系统,利用先进的 AI 和边缘计算技术,应用于国防、救援和商业领域。该技术仅凭视觉数据即可实现精确地理定位,无需传统的 GPS 或专用硬件。此外,AI 也在革新金融科技,例如 GMind 公司将其用于交易平台;并推动专业服务领域的变革,CohnReznick 指出 AI 可实现实时合规和运营效率提升。AI 还在光学超表面设计方面取得进展,推动成像和计算技术的创新,并预计到 2…

  6. RESEARCH · CL_11501 ·

    AI integration challenges autonomous systems' safety, reliability, and certification

    A new paper discusses the challenges of ensuring dependability in autonomous systems that integrate AI and ML components. Traditional methods for safety, security, and reliability are insufficient due to the unpredictab…

  7. RESEARCH · CL_09873 ·

    Researchers develop new Hankel-structured sensing for super-resolution DoA estimation

    Researchers have developed new frameworks for direction-of-arrival (DoA) estimation, crucial for autonomous systems. These methods utilize Hankel-structured sensing and matrix decomposition, offering optimal performance…