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第37行： − Hod Lipson (1967年生于以色列海法)是一名美国机器人工程师。他是哥伦比亚大学创意机器实验室的主任。利普森的工作集中在进化机器人学、设计自动化、快速成型、人工生命以及创造可以展示人类创造力某些方面的机器。他的出版物被引用了超过26000次，他的 h-index 指数为73,000。利普森在2018年的人工智能纪录片《你信任这台电脑吗？+ 第44行：
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第53行： − 利普森参与了机器学习，并在2007年的 TED 大会上展示了他的“有自我意识”的机器人。+ 第57行：
第59行： − 从2009年开始，他和他的康奈尔大学研究生 Michael Schmidt 开发了一个名为 Eureqa 的软件，能够从数据集中推导出方程、数学关系和自然定律: 例如，从双摆的位置和速度的数据集中推导出牛顿第二运动定律。返回文章页面【纽约时报】“哈尔，打电话给你的办公室: 像物理学家一样工作的计算机”译者: leon921269据报道，Eureqa 在2011年成功完成了一项更为复杂的任务: 重新推导七个方程式，它们描述了缺氧酵母细胞中各种化合物的水平如何波动。+ 第63行：
第65行： − 在机器人自我意识的研究中，他提倡“自我模拟”作为初步阶段。+ 第77行：
第79行： − 利普森参与的团队已经创造了一些机器，其中包括: Fab@Home fabbers ーー低成本的“3d 打印机”ーー自我复制机器人ーー只要有合适的部件，就能够复制自己的简单结构。+ − + + + + + 第99行：
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无编辑摘要
Hod Lipson (born 1967 in Haifa, Israel) is an American robotics engineer. He is the director of Columbia University's Creative Machines Lab. Lipson's work focuses on evolutionary robotics, design automation, rapid prototyping, artificial life, and creating machines that can demonstrate some aspects of human creativity. His publications have been cited more than 26,000 times, and he has an h-index of 73, . Lipson is interviewed in the 2018 documentary on artificial intelligence Do You Trust This Computer?
Hod Lipson (born 1967 in Haifa, Israel) is an American robotics engineer. He is the director of Columbia University's Creative Machines Lab. Lipson's work focuses on evolutionary robotics, design automation, rapid prototyping, artificial life, and creating machines that can demonstrate some aspects of human creativity. His publications have been cited more than 26,000 times, and he has an h-index of 73, . Lipson is interviewed in the 2018 documentary on artificial intelligence Do You Trust This Computer?
霍德・利普森(1967年生于以色列海法)是一名美国机器人工程师，哥伦比亚大学创意机器实验室的主任。利普森的研究工作集中于进化机器人学、设计自动化、快速成型、人工生命以及创造可以展示人类某些方面创造力的机器。他的出版物已经被引用了超过26000次， h-index 指数为73,000。在2018年的人工智能纪录片《你信任这台电脑吗？》中，利普森接受了采访。
==Biography==
==Biography==
Lipson received B.Sc. (1989) and Ph.D. (1998) degrees in Mechanical Engineering from Technion Israel Institute of Technology. Before joining the faculty of Columbia University in 2015, he was a professor at Cornell University for 14 years. Prior to Cornell, he was an assistant professor in the Computer Science Department at Brandeis University's, and a postdoctoral researcher at MIT's Mechanical Engineering Department.
Lipson received B.Sc. (1989) and Ph.D. (1998) degrees in Mechanical Engineering from Technion Israel Institute of Technology. Before joining the faculty of Columbia University in 2015, he was a professor at Cornell University for 14 years. Prior to Cornell, he was an assistant professor in the Computer Science Department at Brandeis University's, and a postdoctoral researcher at MIT's Mechanical Engineering Department.
= = 传记 = = 李普森获得 B.Sc。以色列理工学院机械工程博士(1989)和博士(1998)学位。在2015年加入哥伦比亚大学之前，他在康奈尔大学任教14年。在康奈尔大学之前，他是布兰戴斯大学计算机科学系的助理教授，麻省理工学院机械工程系的博士后。
<nowiki>= = 传记 = =</nowiki>
利普森在1989年和1998年分别获得了以色列理工学院机械工程系理学学士学位和博士学位。他曾在布兰迪斯大学计算机科学系担任助理教授，同时也是麻省理工学院机械工程系博士后研究员。之后，利普森在康奈尔大学担任了14年教授并于2015年进入哥伦比亚大学任教。
==Research==
==Research==
Lipson has been involved with machine learning and presented his "self-aware" robot at the 2007 TED conference.
Lipson has been involved with machine learning and presented his "self-aware" robot at the 2007 TED conference.
利普森进行了机器学习相关研究，并在2007年的 TED 大会上展示了他的“有自我意识”的机器人。
Beginning in 2009, he and his [[Cornell University]] graduate student Michael Schmidt developed a software named [[Eureqa]]<ref>{{cite web |url=http://creativemachines.cornell.edu/eureqa |title=Eureqa | Cornell Creative Machines Lab |publisher=Creativemachines.cornell.edu |accessdate=2013-04-14}}</ref> capable of deriving equations, mathematical relationships and laws of nature from sets of data: for instance, deriving [[Newton's second law of motion]] from a data set of positions and velocities of a [[double pendulum]].<ref>[https://www.nytimes.com/2009/04/07/science/07robot.html The New York Times "Hal, Call Your Office: Computers That Act Like Physicists " By Kenneth Chang Published: April 2, 2009]</ref><ref>{{cite web |last=Keim |first=Brandon |url=https://www.wired.com/wiredscience/2009/12/download-robot-scientist/ |title=Download Your Own Robot Scientist | Wired Science |publisher=Wired.com |date=2009-12-03 |accessdate=2013-04-14}}</ref> In 2011, it was reported that Eureqa had succeeded at a much more complex task: re-deriving seven equations describing how levels of various chemical compounds fluctuate in oxygen-deprived yeast cells.<ref>{{cite web |url=http://www.sciencenews.org/view/feature/id/337207/title/Software_Scientist |title=Software Scientist | Technology |publisher=Science News |accessdate=2013-04-14}}</ref>
Beginning in 2009, he and his [[Cornell University]] graduate student Michael Schmidt developed a software named [[Eureqa]]<ref>{{cite web |url=http://creativemachines.cornell.edu/eureqa |title=Eureqa | Cornell Creative Machines Lab |publisher=Creativemachines.cornell.edu |accessdate=2013-04-14}}</ref> capable of deriving equations, mathematical relationships and laws of nature from sets of data: for instance, deriving [[Newton's second law of motion]] from a data set of positions and velocities of a [[double pendulum]].<ref>[https://www.nytimes.com/2009/04/07/science/07robot.html The New York Times "Hal, Call Your Office: Computers That Act Like Physicists " By Kenneth Chang Published: April 2, 2009]</ref><ref>{{cite web |last=Keim |first=Brandon |url=https://www.wired.com/wiredscience/2009/12/download-robot-scientist/ |title=Download Your Own Robot Scientist | Wired Science |publisher=Wired.com |date=2009-12-03 |accessdate=2013-04-14}}</ref> In 2011, it was reported that Eureqa had succeeded at a much more complex task: re-deriving seven equations describing how levels of various chemical compounds fluctuate in oxygen-deprived yeast cells.<ref>{{cite web |url=http://www.sciencenews.org/view/feature/id/337207/title/Software_Scientist |title=Software Scientist | Technology |publisher=Science News |accessdate=2013-04-14}}</ref>
Beginning in 2009, he and his Cornell University graduate student Michael Schmidt developed a software named Eureqa capable of deriving equations, mathematical relationships and laws of nature from sets of data: for instance, deriving Newton's second law of motion from a data set of positions and velocities of a double pendulum.The New York Times "Hal, Call Your Office: Computers That Act Like Physicists " By Kenneth Chang Published: April 2, 2009 In 2011, it was reported that Eureqa had succeeded at a much more complex task: re-deriving seven equations describing how levels of various chemical compounds fluctuate in oxygen-deprived yeast cells.
Beginning in 2009, he and his Cornell University graduate student Michael Schmidt developed a software named Eureqa capable of deriving equations, mathematical relationships and laws of nature from sets of data: for instance, deriving Newton's second law of motion from a data set of positions and velocities of a double pendulum.The New York Times "Hal, Call Your Office: Computers That Act Like Physicists " By Kenneth Chang Published: April 2, 2009 In 2011, it was reported that Eureqa had succeeded at a much more complex task: re-deriving seven equations describing how levels of various chemical compounds fluctuate in oxygen-deprived yeast cells.
从2009年开始，他和他在康奈尔大学的研究生 Michael Schmidt 共同开发了一个名为 Eureqa 的软件，该软件能够从数据集中推导出方程、数学关系和自然定律。例如，从双摆的位置和速度的数据集中推导出牛顿第二运动定律。2009年4月2日，Kenneth Chang在《纽约时报》发表文章《哈尔，给你的办公室打电话：像物理学家一样工作的计算机》。2011年，报道称Eureqa在一项更复杂的任务上取得了成功：重新推导了七个方程来描述缺氧酵母细胞中各种化合物的水平是如何变化的。
In research on robotic self-awareness he advocates "self-simulation" as preliminary stage.<ref>{{cite web|url=https://www.quantamagazine.org/hod-lipson-is-building-self-aware-robots-201907-11/|title=Curious About Consciousness? Ask the Self-Aware Machines|access-date=2019-10-21|date=2019-07-09|author=John Pavlus|website=Quanta Magazine}} {{Dead link|date=January 2021}}</ref>
In research on robotic self-awareness he advocates "self-simulation" as preliminary stage.<ref>{{cite web|url=https://www.quantamagazine.org/hod-lipson-is-building-self-aware-robots-201907-11/|title=Curious About Consciousness? Ask the Self-Aware Machines|access-date=2019-10-21|date=2019-07-09|author=John Pavlus|website=Quanta Magazine}} {{Dead link|date=January 2021}}</ref>
In research on robotic self-awareness he advocates "self-simulation" as preliminary stage.
In research on robotic self-awareness he advocates "self-simulation" as preliminary stage.
在机器人自我意识的研究中，他提倡将“自我模拟”作为初步阶段。
Lipson has been involved with teams that have created a number of machines including:
Lipson has been involved with teams that have created a number of machines including:
* Molecubes self-reproducing robots.
* Molecubes self-reproducing robots.
利普森参与的团队创造了许多机器，其中包括:
*”有自我意识的机器人”ーー能够补偿本来会妨碍行动的损害的机器。
* Fab@Home fabbers ーー低成本的“3d 打印机”。
* 自我复制机器人ーー只要有合适的部件，就能够复制自己的简单结构。
*”有自我意识的机器人”ーー该机器可以对阻碍行为的损坏进行补偿。
* 分子自我繁殖机器人。
* 分子自我繁殖机器人。
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* (TED2007)
* TED speakers
* [与 Steve Paikin 讨论小组“机器人革命和进化的未来”直播 Hod Lipson ]与 Cory Doctorow，Michael Belfiore 和 Eliezer Yudkowsky 在量子到宇宙节上。
* [与 Steve Paikin 讨论小组“机器人革命和进化的未来”直播 Hod Lipson ]与 Cory Doctorow，Michael Belfiore 和 Eliezer Yudkowsky 在量子到宇宙节上。