Events
![Present Around The World (PATW) Competition @ 1125 Colonel By Dr, Ottawa, ON K1S 5B6 | Ottawa | Ontario | Canada](https://www.ieeeottawa.ca/wp-content/uploads/2019/04/Screen-Shot-2019-04-11-at-4.28.10-PM-300x174.png)
The PATW is a global competition for Young professionals and students within engineering to develop and showcase presentation skills. Membership to the IET is not a requirement to enter, but you must be 18-30 years of age and be prepared to;
Deliver a 10 minute presentation on any engineering or technology related area. Enhance your knowledge, develop your skills, increase your profile, and open doors for your career.
For more details see : https://www.theiet.org/PATW
Contact kyle.manel@ietvolunteer.org for event information and/or for registration.
Arduinos, 3D printing, Lego Mindstorms and displays, submarine
robots, and AI, where can you find all this? All of this and MUCH MORE will be at the IEEE Ottawa Robotics
Competition (ORC), Ottawa’s largest robotics competition for grade 5 to 12
students. The ORC is taking place on Sunday,
June 2nd at Earl of March
Secondary School. Best times to show up are between 10:30 am to 12:30 pm and 1:30 pm to 4 pm. The ORC is completely
open to the public, so invite your friends and family too!
Check out previous competitions at https://youtube.com/user/ieeeorc/videos.
If you have any questions, please feel free to email us at orcinfo@ieeeottawa.ca.
Fields-CQAM Public Lectures: Ali Ghodsi, University of Waterloo
What is missing from common practice in machine learning?
AI, and machine learning in particular, is enjoying its golden age. Machine learning has changed the face of the world over the past two decades but we are still a long way from achieving a general artificial intelligence. In this talk, I will discuss a couple of elements that I believe are missing from common practice in machine learning, including incorporating causality and creating a new framework for unsupervised learning.
Biography
Ali Ghodsi is a Professor in the Department of Statistics and Actuarial Science at the University of Waterloo. His research involves statistical machine-learning methods. Ghodsi’s research spans a variety of areas in computational statistics. He studies theoretical frameworks and develops new machine learning algorithms for analyzing large-scale data sets, with applications to bioinformatics, data mining, pattern recognition, robotics, computer vision, and sequential decision making.
DATE:
THURSDAY, JUNE 20TH, 2019.
PRESENTATION
6:00 PM – 7:00 PM.
NETWORKING
7:00 PM – 8:00 PM.
LOCATION
HEALTH SCIENCE BUILDING, RM. 1301 (LOCATED ON THE GROUND FLOOR), CARLETON UNIVERSITY.
FREE ADMISSION FOR THIS PUBLIC LECTURE.
PLEASE REGISTERÂ HERE.