Deep Conversations on Deep Learning: A technical discussion series II
Deep Conversations on Deep Learning: A technical discussion series
Interesting conversations of the latest topics in Artificial Intelligence and Machine Learning
Organized by the IEEE Maine Section with presentation resources provided by IEEE Region 1
Organized and hosted by Walter Rawle, Chair, IEEE Maine Section
Occurs the third Wednesday of every month effective 9/16/2020 until 12/16/2020 from 6:00 PM to 7:00 PM, (UTC-04:00) Eastern Time (US & Canada)
Date and Time
Location
Hosts
Registration
- Date: 21 Oct 2020
- Time: 06:00 PM to 07:00 PM
- All times are (GMT-05:00) US/Eastern
- Add Event to Calendar
- Via WebEx
- Augusta/Bangor/Portland, Maine
- United States
- Starts 10 September 2020 09:00 AM
- Ends 21 October 2020 07:00 PM
- All times are (GMT-05:00) US/Eastern
- No Admission Charge
Agenda
Deep Conversations on Deep Learning, a technical discussion series, has been organized by the IEEE Maine Section to provide IEEE members technical insight into some of the fascinating emerging developments in the field. Mixing both fundamental concepts and application discussions, the series is intended to spur interest and motivate IEEE members to explore this area further. Presentations have been scheduled for the third Wednesday of each month, September through December, at 6 pm local eastern time, so that members who hold day jobs can participate in the events after work hours. Slide decks will be available on the IEEE Maine Section website after each presentation and the presenters will be available for fifteen minutes after each presentation to answer questions. The IEEE Maine section hopes that this series will be of value to its members and looks forward to suggestions on future technical series presentations. Presentation schedules and topic abstracts are as follows:
Self-Driving Cars: Technologies and Challenges: October 21, 6 pm, Presenter: Walter Rawle
Abstract: This talk summarizes the recent technological developments and challenges seen in the self-driving vehicle space. Using a framework described by Oliver Cameron, CEO, Voyage, and formerly of Udacity, in his guest lecture for MIT class 6.S094, this presentation first discusses levels of autonomy and then reviews challenges and emerging technologies in three broad areas associated with Level 4 autonomous (full autonomy with human operator observing) operation: Autonomy, Systems, and Infrastructure. Autonomy brings challenges around perception, planning, prediction, and control. Systems bring challenges around safety, redundancy, diagnostics, and performance. And Infrastructure brings challenges around mapping, simulation, remote operations, and reliable networks. All of these technical topics create fascinating problems to solve. IEEE Maine hopes that its members find this talk informative and of broad interest