BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//PROBUS St. Catharines - ECPv6.15.17.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:PROBUS St. Catharines
X-ORIGINAL-URL:https://probusstcatharines.com
X-WR-CALDESC:Events for PROBUS St. Catharines
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Toronto
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20231105T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20240310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20241103T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20250309T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20251102T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20240910T100000
DTEND;TZID=America/Toronto:20240910T110000
DTSTAMP:20260415T142749
CREATED:20230926T171352Z
LAST-MODIFIED:20250131T164931Z
UID:5497-1725962400-1725966000@probusstcatharines.com
SUMMARY:Alex Olson - Senior Research Associate at the UofT's Centre for Analytics and AI Engineering
DESCRIPTION:Alex Olson – Senior Research Associate at the UofT’s Centre for Analytics and AI Engineering  helps lift mystery surrounding world of AI \nDon Walker introduced his grandson Alex Olson who is a Senior Research Associate at the U of T’s Centre for Analytics and AI Engineering. Alex’s topic was titled “Ever wondered how Siri\, Alexa\, or Google Assistant seem to understand you?” \nAlex\, a graduate of the University of Edinburgh\, was able in reasonable layman’s terms to demystify the technology behind intelligent chatbots like ChatGPT. He compared traditional computer programs that know the characteristics of their inputs to AI programs that accept inputs that don’t conform to a set of rules. An example is languages and sentences\, it could be anything. Early AI software used a set of prewritten rules to make decisions and solve problems such as the program to recognize faces from cameras that began in the 1990’s. \nA newer generation of AI is based on machine learning where large numbers of examples or data is entered and the program imitates the way humans learn and gets better at producing a result. Alex explained that machine learning is similar to how babies learn through negative or positive feedback. He spoke about Artificial Neural Networks that teach computers to process data in a way that is inspired by the human brain. The neurons learn to watch out for specific things that can then be used to make predictions. But Alex added that neuron networks are not brains. Once a neuron network is trained\, it doesn’t keep learning. It is a type of machine learning process\, called deep learning\, that uses interconnected nodes or neurons (complex mathematical equations) in a layered structure that resembles the human brain. \nThis is the basis of new language models such at ChatGPT. The new Apple iPhone runs neural networks directly on the phone using special processors from Nividia (accounting for its surge in value over the years). \nAI is producing benefits such as data analysis of a large number of surgeries to guide decision making on present day surgeries. Also\, governments and companies are catching up to using AI to give insight into past performance when developing regulations and business strategies. \nAlex said that many people express deep concern about the future of AI around such things as job displacement\, concentration of power and societal impact. He however remains optimistic that neural networks are tools that can be used for positive applications. He concluded by saying that AI is a tool we need to understand and guide responsibly. \nThere were many questions for Alex on manipulation of photos and videos\, medical assistance and self driving cars. Alex gave an example of eyeglasses available today that have cameras and software that can guide a sight-challenged wearer to the location of an item. \nDuncan McLaren thanked Alex for his informative presentation of a very complex topic that our \nmembers could well understand.
URL:https://probusstcatharines.com/event/alexolson/
LOCATION:Lions Hall\, 732 Niagara Street\, St. Catharines\, Ontario\, L2M 7W7\, Canada
CATEGORIES:2024 Past Speakers,Speakers
ATTACH;FMTTYPE=image/jpeg:https://probusstcatharines.com/wp-content/uploads/2023/09/Alex-Olson.jpg
END:VEVENT
END:VCALENDAR