The Convergence of Machine Learning and Artificial Intelligence Towards Enabling Autonomous Driving

The Convergence of Machine Learning and Artificial Intelligence Towards Enabling Autonomous Driving
  • Brains, Minds and Machines Seminar Series

Associated CBMM Pages: 

Date Posted: 

March 25, 2017

Description: 

Brains, Minds, and Machines Seminar Series:

Amnon Shashua - Hebrew University, Co-founder, CTO and Chairman of Mobileye

Abstract: The field of transportation is undergoing a seismic change with the coming introduction of autonomous driving. The technologies required to enable computer driven cars involves the latest cutting edge artificial intelligence algorithms along three major thrusts: Sensing, Planning and Mapping. I will describe the challenges and the kind of machine learning algorithms involved, and will do that through the perspective of Mobileye’s activity in this domain.

Biography: Prof. Amnon Shashua holds the Sachs chair in computer science at the Hebrew University of Jerusalem. His field of expertise is computer vision and machine learning. For his academic achievements, he received the MARR prize Honorable Mention in 2001, the Kaye innovation award in 2004, and the Landau award in exact sciences in 2005.

In 1999 Prof. Shashua co-founded Mobileye, an Israeli company developing a system-on-chip and computer vision algorithms for a driving assistance system, providing a full range of active safety features using a single camera. Today, approximately 10 million cars from 23 automobile manufacturers rely on Mobileye technology to make their vehicles safer to drive.  

In 2010 Prof. Shashua co-founded OrCam which harnesses the power of artificial vision to assist people who are visually impaired or blind. The OrCam MyEye device is unique in its ability to provide visual aid to hundreds of millions of people, through a discreet wearable platform. Within its wide-ranging scope of capabilities, OrCam's device can read most texts (both indoors and outdoors) and learn to recognize thousands of new items and faces.