
人工智能与现实世界的交互对网络安全意味着什么?
物理AI让自主系统(例如机器人和自动驾驶汽车)得以在现实世界中感知并采取行动。与具身AI不同,后者仅聚焦于硬件“躯体”与环境交互时所采集的智能信息;而物理AI则属于一个更为宏观的整体框架,使软件“大脑”能够更智能地控制各类物理躯体,包括机器人、机械臂、无人机及自动驾驶车辆等。这一领域尚属新兴,既缺乏统一的标准命名,也远未形成成熟的技术体系,然而许多人深信,它代表着AI发展...
Daniela Rus is the MIT Panasonic Professor of Electrical Engineering and Computer Science and Director, Computer Science and Artificial Intelligence Laboratory (CSAIL), MIT. Her research interests include AI and robotics. At CSAIL, she aspires to help build a world where robotics and AI systems help with people with physical and cognitive work, accelerate scientific discovery, and enable solutions to the grand challenges facing humanity. She is the co-author of the books The Heart and The Chip and The Mind’s Mirror. She is a MacArthur Fellow and recipient of John Scott Medal and IEEE Edison Medal. She is a member of NAE, NAS, and American Academy of Arts and Science, the co-Founder, LiquidAI. Venti Technologies, Themis AI, and the author of The Mind's Mirror: Risk and Reward in the Age of AI and The Heart and the Chip: Our Bright Future with Robots.
物理AI让自主系统(例如机器人和自动驾驶汽车)得以在现实世界中感知并采取行动。与具身AI不同,后者仅聚焦于硬件“躯体”与环境交互时所采集的智能信息;而物理AI则属于一个更为宏观的整体框架,使软件“大脑”能够更智能地控制各类物理躯体,包括机器人、机械臂、无人机及自动驾驶车辆等。这一领域尚属新兴,既缺乏统一的标准命名,也远未形成成熟的技术体系,然而许多人深信,它代表着AI发展...
Physical AI enables autonomous systems, like robots and self-driving cars, to perceive and act in the real world. Unlike embodied AI, which centres solely on the intelligence collected wh...
