Deep Conversations on Deep Learning: A technical discussion series I

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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

Wednesday, Sep 16, 2020 6:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)
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)
 
Please register for the events with the following links:
 
September 16, 6 pm The Mathematical Foundations of Artificial Intelligence, Presenter: Walter Rawle https://events.vtools.ieee.org/m/238888
October 21, 6 pm Self-Driving Cars: Technologies and Challenges, Presenter: Walter Rawle https://events.vtools.ieee.org/m/239670
November 18, 6 pm The Deep Learning Data Dilemma: Solving It with Physics Based Modeling, Presenter: Walter Rawle https://events.vtools.ieee.org/m/238891
December 16, 6 pm When AI Begets AI: the Evolution of Automated Machine Learning and the Future of Human-AI Collaboration, Presenter Julia Upton https://events.vtools.ieee.org/m/238892

  Date and Time

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  • Date: 16 Sep 2020
  • Time: 06:00 PM to 07:00 PM
  • All times are (GMT-05:00) US/Eastern
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  • Via WebEx
  • Augusta/Bangor/Portland, Maine
  • United States
  • Contact Event Host
  • Starts 10 September 2020 09:00 AM
  • Ends 16 September 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:

 

The Mathematical Foundations of Artificial Intelligence: September 16, 6 pm, Presenter: Walter Rawle

Abstract: Building upon a presentation, of the same title, given at the Maine Society of Professional Engineers 2020 Education Symposium, held on March 6 at the Wells Center, University of Maine at Orono, this talk explores the three foundational disciplines supporting artificial intelligence and machine learning: functional analysis, numerical methods, and probability theory. Applications of these three disciplines to such areas as convolutional neural networks, deeply connected neural network training, and the establishment of confidence levels in Bayesian belief networks, will be discussed. A brief synopsis of the seminal work “The Nature of Statistical Learning Theory” by Vladimir Vapnik, co-inventor of the support vector machine, will conclude the discussion. Although this talk has been prepared for a more analytical, technical audience, IEEE Maine hopes that its members find to topic interesting and informative