Ashutosh Saxena

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 deep learning and physical AI for autonomous systems. Saxena is the co-founder and CEO of Caspar.AI, which uses AI with data from ambient 3D radar sensors to predict 20+ health & wellness markers for patients. Prior to Caspar.AI, Ashutosh co-founded Cognical Katapult (NSDQ: KPLT), which provides a no credit required alternative to traditional financing for online and omni-channel retail. Before Katapult, Saxena was an assistant professor in the Computer Science Department and faculty director of the RoboBrain Project at Cornell University.^[1]

Education

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] Saxena received his bachelor's degree in electrical engineering from the Indian Institute of Technology, Kanpur in 2004.

Career

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] In 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,

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 Katapult, which provided financing solutions to nonprime and underbanked consumers powered by artificial intelligence. From 2014 to 2016, Saxena served as the faculty 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]

Saxena co-founded Brain of Things in 2015 with David Cheriton, who serves as chief scientist, and was listed as the fastest growing private company reaching an annual recurring revenue of $8 million in three years. It has been widely covered in several outlets including Forbes Japan, and MIT Technology Review.^[7]

Saxena's work on deep learning won test of time award in 2023 by Robotics Science and Systems ^[8]. Ashutosh has been recognized for his work by receiving the Alfred P. Sloan Fellow in 2011, Google Faculty Research Award in 2012,^[9] Microsoft Faculty Fellowship in 2012, NSF Career award in 2013,^[10] One of the Eight Innovators to Watch by the Smithsonian Institution^[11] in 2015, and received TR35 Innovator Award by MIT Technology Review^[12] in 2018. He was named by San Francisco Business Times as a 40 under 40 young business leader.^[13]

Research

Saxena has authored over 100 published papers in the areas of deep learning, robotics, and artificial intelligence. 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)^[14] and Make3D, which enables the estimation of depth from a single image.^[15] 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.

References

This page was last edited on 10 April 2024, at 04:06