| 词条 | Ashutosh Saxena |
| 释义 |
| name = Ashutosh Saxena | birth_date = | nationality = American | work_institution = Co-founder and CEO of Caspar.AI | field = Artificial intelligence (machine learning) | alma_mater = Stanford University, Indian Institute of Technology Kanpur | occupation = CEO, Caspar.AI | thesis_year = 2009 | doctoral_advisor = Andrew Ng | website = {{URL|https://cs.stanford.edu/~asaxena/ | Stanford University — Ashutosh Saxena}} | awards = MIT Technology Review TR35 }}Ashutosh Saxena is an Indian-American Computer Scientist, Researcher, and Entrepreneur known for his contributions to the field of Artificial Intelligence and Robotics. His research interests include Machine Learning, Robotics, and 3-Dimensional Computer Vision. Dr. Saxena is the Co-Founder and CEO of Caspar.AI, which is an artificial intelligence company that automates peoples' homes and learns from their preferences via the use of electronic appliances and sensors. Prior to Caspar.AI, Ashutosh co-founded Cognical Zibby, which provides a no credit required alternative to traditional financing for online and omni-channel retail. Before Cognical Zibby, Dr. Saxena was an Assistant Professor in the Computer Science Department and Director of the RoboBrain Project at Cornell University.[1] EducationDr. Saxena received his Bachelor's degree in Electrical Engineering from the Indian Institute of Technology, Kanpur in 2004. In 2009, with artificial intelligence pioneer Andrew Ng as his advisor, Saxena received both his M.S. and Ph.D. in Computer Science with an emphasis on Artificial Intelligence from Stanford University.[2] CareerIn 2003, Ashutosh began his career as a Research Intern for Bose Corporation where he developed Mathematical models that use electronic circuits to engineer better speakers. Once Ashutosh completed his undergraduate degree, he became a Researcher at the Commonwealth Scientific and Industrial Research Organization where he developed algorithmic models for medical devices. From 2010 to 2013, Dr. Saxena was the Chief Scientist of New-York based Holopad, where he worked with Steven Spielberg's team to create walkthroughs and 3D experiences for his movie TinTin.[3] Before Caspar, Saxena pursued other entrepreneurial ventures, such as ZunaVision, an artificial intelligence startup he co-founded with Andrew Ng that uses AI to assign advertising space within videos. Ashutosh served as the CTO of ZunaVision from 2008 to 2010.[4] After ZunaVision, Saxena co-founded Cognical Zibby, which provided financing solutions to nonprime and underbanked consumers powered by artificial intelligence. From 2014 to 2016, Dr. Saxena served as the Director of the RoboBrain project, which was a joint venture that he started between Stanford University, Cornell University, Brown University, and the University of California, Berkeley that made a knowledge engine for robots.[5][6] Dr. Saxena co-founded Caspar.AI in 2015 with Professor David Cheriton, who serves as Chief Scientist. Ashutosh has been recognized for his work by receiving the Alfred P. Sloan Fellow in 2011, Google Faculty Research Award in 2012,[7] Microsoft Faculty Fellowship in 2012, NSF Career award in 2013,[8] One of the Eight Innovators to Watch by the Smithsonian Institution [9] in 2015, and received TR35 Innovator Award by MIT Technology Review[10] in 2018. ResearchDr. Saxena has either authored or co-authored over 100 published papers in the areas of machine Learning, robotics, and 3D computer vision. His work in the fields of computer vision and deep learning have been featured in press releases and academic journal reviews. Ashutosh's early work includes the Stanford Artificial Intelligence Robot (STAIR)[11] and Make3D, which solved the problem of estimating depth from a single image, a problem that was once considered unsolvable in the field of computer vision.[12] At Cornell University, Ashutosh led the Robot Learning Lab, which used a machine learning approach to train robots to perform tasks in human environments such as generalizing manipulation in 3D point-clouds where robots learn to transfer manipulation trajectories to novel objects utilizing a large sample of demonstrations from crowdsourcing. References1. ^{{Cite web|url=https://cs.stanford.edu/people/asaxena/index.html|title=Ashutosh Saxena --- Alfred P. Sloan Fellow, Computer Science, Cornell/Stanford University|website=cs.stanford.edu|language=en|access-date=2018-05-23}} {{DEFAULTSORT:Saxena, Ashutosh}}2. ^{{Cite web|url=https://www.engineering.cornell.edu/faculty-directory/ashutosh-saxena|title=Ashutosh Saxena {{!}} Cornell Engineering|website=www.engineering.cornell.edu|language=en|access-date=2018-05-23}} 3. ^{{Cite web|url=http://irm.utoronto.ca/news/ashutosh-saxenas-talk-june-29-2017/|title=Ashutosh Saxena's Talk - June 29, 2017 - Institute for Robotics and Mechatronics {{!}} Institute for Robotics and Mechatronics|website=irm.utoronto.ca|language=en-US|access-date=2018-05-23}} 4. ^{{Cite web|url=https://relationshipscience.com/person/ashutosh-saxena-218333927|title=Ashutosh Saxena, Chief Technology Officer, Co-Founder at Zunavision - Relationship Science|website=relationshipscience.com|language=en|access-date=2018-05-23}} 5. ^{{Cite news|url=https://www.washingtonpost.com/news/speaking-of-science/wp/2014/08/25/this-robot-is-using-youtube-videos-to-learn-all-about-us/|title=This robot is using YouTube videos to learn all about us|last=Feltman|first=Rachel|date=2014-08-25|work=Washington Post|access-date=2018-05-23|language=en-US|issn=0190-8286}} 6. ^{{Cite news|url=https://www.wired.com/2014/08/robobrain/|title=The Plan to Build a Massive Online Brain for All the World's Robots|work=WIRED|access-date=2018-05-23|language=en-US}} 7. ^{{cite web|title=Indian Scientist Develops Algorithm That Can Predict Driving Error|url=http://www.channelworld.in/news/indian-scientist-develops-algorithm-can-predict-driving-error|accessdate=23 May 2018|language=en}} 8. ^{{cite web|title=Nate Foster and Ashutosh Saxena won NSF Career Awards {{!}} Department of Computer Science |url= https://prod.cs.cornell.edu/information/news/newsitem766/nate-foster-and-ashutosh-saxena-won-nsf-career-awards |website=prod.cs.cornell.edu |accessdate=23 May 2018}} 9. ^{{cite web|title=Smithsonian names Saxena an 'innovator to watch' {{!}} Cornell Chronicle|url=http://news.cornell.edu/stories/2015/02/smithsonian-names-saxena-innovator-watch|website=news.cornell.edu|accessdate=23 May 2018|language=en}} 10. ^{{cite web|title=35 Innovators Under 35 2018 {{!}} MIT Technology Review | url=https://www.technologyreview.com/lists/innovators-under-35/2018/|accessdate=27 June 2018|language=en}} 11. ^{{cite web|title=STAIR: The STanford Artificial Intelligence Robot project|url=https://pdfs.semanticscholar.org/a673/e32bca5bb641381e74a2014171e91df9c026.pdf|accessdate=23 May 2018}} 12. ^{{cite web|title=Make3D: Depth Perception from a Single Still Image|url=https://pdfs.semanticscholar.org/d73b/3904f06ee18113c83ef649192782cddc8fde.pdf|accessdate=23 May 2018}} 8 : Stanford University alumni|Living people|Artificial intelligence researchers|American roboticists|Machine learning researchers|American male scientists of Indian descent|Indian emigrants to the United States|Year of birth missing (living people) |
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