Towards Ubiquitous AI: Challenges and Some Recent Progress
On Wednesday, Oct. 4, Prof. Bipin Rajendran (New Jersey Institute of Technology) will give a presentation on ubiquitous artificial intelligence at Rutgers University.
This event is open to everyone (IEEE members, non-members, and students). Registration is not necessary, but it would still be useful to register in order to give the organizers an idea of the approximate headcount.
Date and Time
Location
Hosts
Registration
- Date: 04 Oct 2017
- Time: 06:30 PM to 08:00 PM
- All times are (UTC-04:00) Eastern Time (US & Canada)
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- Busch Campus, Rutgers University
- 96 Frelinghuysen Rd
- Piscataway, New Jersey
- United States 08854
- Building: CoRE 538
- Click here for Map
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- Co-sponsored by IEEE Princeton/Central Jersey, North Jersey, New Jersey Coast
- Starts 15 September 2017 12:00 PM
- Ends 04 October 2017 07:00 PM
- All times are (UTC-04:00) Eastern Time (US & Canada)
- No Admission Charge
Speakers
Bin Rajendran
Towards Ubiquitous AI: Challenges and Some Recent Progress
The astonishing advances in machine learning over the past five years have buoyed the hopes of building ubiquitous computing systems with human-level intelligence and efficiency. However, much work remains to be done! In this talk, I will first discuss some fundamental challenges that have to be addressed in building computational systems that can learn in the field, and in an accelerated manner, rivaling human performance. I will then present recent results from our research to develop new devices, algorithms, and systems that are inspired by the key architectural and organizational principles of the brain.
Biography:
Bipin Rajendran received a B.Tech degree from I.I.T. Kharagpur, in 2000, and M.S. and Ph.D. degrees in Electrical Engineering from Stanford University, in 2003 and 2006, respectively. He was a Master Inventor and Research Staff Member at IBM T. J. Watson Research Center in New York during 2006-'12 and a faculty member in the Electrical Engineering Department at I.I.T. Bombay during 2012-'15. His research focuses on building algorithms, devices, and systems for brain-inspired computing. He has authored over 60 papers in peer-reviewed journals and conferences and has been issued 55 U.S. patents. He is currently an Associate Professor in the Department of Electrical & Computer Engineering at New Jersey Institute of Technology.
Address:New Jersey Institute of Technology, , Newark, New Jersey, United States, 07102
Bin Rajendran
Towards Ubiquitous AI: Challenges and Some Recent Progress
Biography:
Address:Newark, New Jersey, United States
Agenda
6.30-7.00 pm | Networking/Refreshments |
7.00-8.00 pm | Presentation |