IEEE VTS Chicago: Machine Learning and AI for Connected and Autonomous Driving
Welcome to our first IEEE VTS Chicago meeting of 2020! For our first meeting, we are partnering with The Mid-America Club, a private social club in downtown Chicago, to join this meeting of Mid-America Club's IT Club event. We have our Chair of IEEE VTS Chicago, Dr. Alvin Chin talking about what's driving the future in terms of machine learning and AI to help create tomorrow’s world of connected and autonomous cars today. The meeting will be held on the 80th floor of the AON Center and has beautiful views of Chicago from all angles.
Please note, since this is a business club, you must wear business casual attire. No jeans, running shoes, sweatshirts, hoodies, flip-flops or shorts are allowed.
Date and Time
Location
Hosts
Registration
- Date: 30 Jan 2020
- Time: 06:00 PM to 08:00 PM
- All times are (GMT-06:00) US/Central
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- 200 East Randolph Street
- 80th floor
- Chicago, Illinois
- United States
- Building: AON Center
- Contact Event Host
- Co-sponsored by The Mid-America Club
- Starts 14 January 2020 03:12 PM
- Ends 28 January 2020 11:59 PM
- All times are (GMT-06:00) US/Central
- 9 in-person spaces left!
- No Admission Charge
Speakers
Dr. Alvin Chin of BMW Technology Corporation
Machine Learning and AI for Connected and Autonomous Driving
As cars are now being connected to the Internet and the car platforms become like computers with hardware and software, machine learning and AI become paramount for connected and autonomous driving.What are the algorithms, models, and challenges to enable the vision of fully connected and autonomous driving? What roles do machine learning and AI play in managing complex perception and decision-making systems?Data mining plays an important part in the evolutionary development of these systems. Connected and self-driving vehicles generate amazing amounts of data, including building internal user profiles for building predictive models of preferences and frequent destinations and trips.
Analytics help autonomous vehicle machine learning find optimal patterns to create safe, useful, and enjoyable passenger experiences. Learn what BMW is doing in this area to create the ultimate smart driving machine.
Biography:
Dr. Alvin Chin is a Senior Researcher in Machine Learning at BMW Technology Corporation, Chicago where he works on big data and machine learning for improving driving behavior and enabling intelligent driving. His current research involves studying user behavior in driving to provide intelligent user and car experiences. Dr. Chin has published over 20 papers and over 10 patents. He is actively involved in conferences such as the IEEE Vehicular Technology Conference as well as data science and machine learning meetups in Chicago. Dr. Chin is Vice-Chair of ACM Chicago and Chair of IEEE Vehicular Technology Society Chicago and IEEE Computer Society Chicago.
Email:
Address:540 W Madison St., Suite 2400, Chicago, Illinois, United States, 60661
Agenda
5:30 PM Networking and light refreshments
6:00 PM Talk by Dr. Alvin Chin, Chair of IEEE VTS Chicago, Senior Machine Learning Researcher at BMW Technology Corporation
7:30 PM Q&A
7:45 PM Closing and adjournment