CSCS Speaker Announcement: Eyal Amir


parknav


Title:

Commonsense for Cars

Abstract:

Cars increasingly are equipped with sensors that can sense their surroundings and insides. These sensors are about to be connected to the cloud in an online fashion, promising to deliver a new era of connectivity and information flow between cars. Cars of the future increasingly would enable autonomous driving, and so need to know and understand more than before. Common sense, such as understanding the meaning of a ball stuck under a parked car, or the possible intentions of a kid hiding behind that parked car, is traditionally easy for people and hard for computers and artificial intelligence. This kind of understanding and commonsense is necessary to ensure safe driving and safe co-existence of humans with those AI cars. In this presentation, I will describe the tools already developed in AI and those that still need to be developed to reach this goal of common sense for cars.
(http://parknav.com)

Bio:

Eyal Amir is CEO and Chief Data Scientist at Ai Incube (Parknav) and a professor of computer science at University of Illinois Urbana-Champaign. Ai Incube is an AI company that distills real-time data about the world from IoT data, licensing this to automotive OEMs and mobile-payment companies. Parknav is Ai Incube’s first home-run data stream, providing precise large-scale estimates of street parking availability.

Eyal’s research focuses on combining AI and Machine Learning, and his data science specializes in using geo-dynamic data. Previously, he received tenure and Associate Professor at UIUC in 2009, joined UIUC in 2004, and was a researcher at UC Berkeley. He received his Ph.D. in Computer Science from Stanford University, and his B.Sc. and M.Sc. degrees in mathematics and computer science from Bar-Ilan University, Israel. He is co-author of more than 100 scientific peer-reviewed papers, was chosen by IEEE as one of the „10 to watch in AI“ (2006), awarded the Arthur L. Samuel award for best Computer Science Ph.D. thesis (2001-2002) at Stanford University, and received the CAREER Award from the National Science Foundation. He splits his time between San Francisco, CA and Munich, Germany.

ACM Chapters Computer Science in Cars Symposium 2017

>> Details about CSCS 2017 here.

Schreib einen Kommentar