Prof. Amnon Shashua

Prof. Amnon Shashua

Hebrew University
Co-founder, CTO and Chairman, Mobileye
Co-founder, CTO and Chairman, OrCam

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 August 2014, Mobileye claimed the title for largest Israeli IPO ever, by raising $1B at a market cap of $5.3B. In addition, Mobileye is developing autonomous driving technology with more than a dozen car manufacturers. An early version of Mobileye’s autonomous driving technology was deployed in series as an "autopilot" feature in October, 2015, and will evolve to support more autonomous features in 2016 and beyond. The introduction of autonomous driving capabilities is of a transformative nature and has the potential of changing the way cars are built, driven and owned in the future.

In 2010 Prof. Shashua co-founded OrCam with a mission to harness the power of artificial vision to assist people who are visually impaired or blind. Based on advanced machine perception and artificial intelligence capabilities, the OrCam 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.

Title:Wearable AI: What if Our Digital Assistants had Eyes and Ears?
Imagine that our digital personal assistant had eyes and ears watching and listening all day - such a capability would take our real life experiences to a new level. I will describe an activity at OrCam to build a wearable device that is able to run the most advanced deep network technologies for image categorization, face recognition, product and bar-code search and voice-to-text analysis - all running in a continuous manner on a single charge throughout the day. 
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