Today, no two letters will evoke more excitement and anxiety than A.I. Helen Kontozopoulos, a lecturer at the University of Toronto and co-founder of the Department of Computer Science Innovation Lab (DCSIL), is all-too-familiar with the emotions A.I. evokes.
However, she argues that we can make A.I. work better into the future if we adopt a holistic Artificial Intelligence framework.
Helen co-founded the University of Toronto's Department of Computer Science Innovation Lab “DCSIL” in 2015, an incubator and accelerator for early-stage startups in Canada. DCSIL’s startups focus on artificial intelligence, machine learning, data science, AR/VR and cybersecurity technologies, Helen works with these teams on their strategy, growth, industry relationships, and UX areas of their ventures.
She is directing efforts at DCSIL to foster innovation and commercialization through entrepreneurship programs, curating talent development, supporting tech transfer and increasing industry collaborations. She is a lecturer at the University of Toronto, in the Department of Computer Science (St.George campus) and Department of Computer and Mathematical Sciences (Scarborough Campus), where she teaches product development, UX, lean startup methodologies, rapid prototyping, entrepreneurship, innovation, and growth strategy. This talk was given at a TEDx event using the TED conference format but independently organized by a local community.
Link to talk: https://www.youtube.com/watch?v=DlZ2P7gx79s
Learn more at https://www.ted.com/tedx
#ArtificialIntelligence #AI #Ethics #HelenKontzopoulos #TED #TEDx #UofT #TEDxUofT
The Talent Tuesdays was created by DCSIL to support students who are interested in technical career paths in industry and startups.
Students meet with employers in an informal setting and learn about job and internship opportunities offered by companies, startups, government agencies, and non-profit organizations where students might like to work. We will host a variety of weekly and monthly event, here are few.
Companies joining us:
Contact Program Director, Helen Kontozopoulos at email@example.com if you like to be involved.
#Artificial intelligence #machine learning #Cybersecurity #DataScience #Blockchain #Gaming #talentuesdays #UofT #computerscience
May 12, 2017
University of Toronto
THE FUNDING INNOVATION CONFERENCE WILL BRING TOGETHER INNOVATORS,
DCSIL'S COHORT STARTUPS, VENTURE CAPITALISTS & FUNDING PROFESSIONALS TO TORONTO.
TO EXPLORE HOW INNOVATIONS IN ARTIFICIAL INTELLIGENCE, AR/VR, CYBERSECURITY, MACHINE LEARNING, BLOCKCHAIN, AND DATA SCIENCE ARE BEING FUNDED IN THE EARLY STAGES OF DEVELOPMENT.
Event director and contact: Helen Kontozopoulos, Co-Founder, Department of Computer Science Innovation Lab.
Date: May 12, 2017
Time: 8:30 - 6:00pm
Location: MacLeod Auditorium (MSB), 1 King's College Cir, Toronto, ON M5S 1A8, UofT
Presented by: Department of Computer Science Innovation Lab (DCSIL), University of Toronto
Registration Begins: 8:30am
9:00am - 9:15am Opening remarks
Mario Grech, Co-Founder/Director, DCSIL
Derek Newton, Assistant Vice-President, Innovation, Partnerships and Entrepreneurship, University of Toronto
9:15am - 9:45am Keynote
John Ruffolo, CEO, OMERS Ventures
9:45 - 10:45am
Artificial Intelligence Panel
Moderator: Philip Poulidis, GM, Marvell
Richard Zemel, Research Director, Vector Institute
Giri Amarakone, Co-Founder, DeepPixel
Steve Reid, CTO, Veerum
Madalin Mihailescu, Director of Technology, Georgian Partners
Break 10:45am - 11:00am
1:00am - 11:30am Cybersecurity Panel
Moderator: Martin Croteau, Director, Academic Entrepreneurship, Ontario Centres of Excellence
Kumar Murty, Chair of the Department of Mathematics, University of Toronto
Nitin Chopra, Principal, Shasta Ventures
11:35am - 12:20pm Blockchain Panel
Moderator: Matthew Spoke, CEO, Nuco.io
Sujan Menezes, Industry Manager, Financial Services, Microsoft Canada
Peggy Van de Plassche, VP Innovation, CIBC
Michael Horowitz, CEO, Chaintech Capital
Lunch 12:20pm - 1:30pm
1:30pm - 1:50pm
Welcome back & Introducer: Paul Gries, Professor, Department of Computer Science, University of Toronto, Co-Founder, DCSIL
Data Visualization Mike Branch, Vice President Business Intelligence, GEOTAB
1:55pm - 2:45pm Data Science Panel
Moderator: Nathan Taback, PhD, Statistical Sciences, University of Toronto
Vera Nenadovic, Founder, Brainsview
Carolina Simões Gomes, Co-Founder, Chopin
Nitin Chopra, Principal, Shasta Ventures
Christina Cai, Co-Founder, Knowtions Research
Break 2:45pm - 3:00pm
3:00pm - 3:40pm
AR & VR Presentations & Panel
Moderator: Nigel Newton
Karan Singh, Co-Founder, JanusVR
Matt McPherson, Quantum Capture
Prashant Matta, Senior Associate, OMERS Ventures
Ken Yang, Co-Founder, Eyetap Technologies
3:40pm - 4:30pm Machine Learning Panel
Moderator: Ramy Nassar
Frances Schwiep, Principal, Comcast Ventures
Philip Poulidis, GM, Marvell
Ali Punjani, Co-Founder, Structura
Wayne Pau, Development Architect at SAP
4:35pm - 5:00pm
Presenter & Introducer: Maya Medeiros, Partner, Norton Rose Fulbright
Dr. Ron Dembo, CEO & Founder, Zerofootprint
5:00pm - 5:15pm Closing remarks and the Future of Emerging Technology.
Helen Kontozopoulos, Co-Founder/Director, DCSIL
Networking Reception 5:15pm
ABOUT DCSILThe Department of Computer Science Innovation Lab (DCSIL) is where founders are made. It is a recognized early stage campus linked accelerator that is founded and run by serial entrepreneurs for the University of Toronto’s Department of Computer Science; one of the most highly rated and respected CS departments in the world. DCSIL accommodates a variety of
innovation sources and commercialization channels and accelerates multiple sources of innovation from class, research,f aculty, outside ventures and industry.
Sept. 13, 2016, The Star
By: John Lorinc
They’ve become the tech crowd’s version of raves. And increasingly, job fairs.
On most weekends in big cities with thriving startup scenes, hundreds of young programmers, many of them still in school, will turn up at hackathons — freewheeling competitions where amateur developers race to create applications with new software platforms, hardware or data sets provided by the sponsors. For 24 or even 48 hours, they network, brainstorm and grind out code, their efforts fuelled by energy drinks, protein bars and the promise of attractive prizes.
“I think I’ve been to a hundred hackathons in the last five years,” says Helen Kontozopoulos, a lecturer at the University of Toronto’s faculty of computer science and co-founder of the Innovation Lab there. “They are crucial to our students because they are places where they meet each other, socialize and learn new skills.”
While hackathons have become a widely accepted way for companies and other organizations to crowdsource new apps or solve problems, they have evolved into essential networking venues where talent and potential employers can cross paths.
“It’s crazy hard to get good developers,” says Kontozopoulos. “If you know developers are at hackathons, you have to be there. You just go.”
Some observers, in fact, say that hackathons have become the best way for employers either to find new recruits or brand themselves as places to find a software job. The hothouse environment will also reveal how young techies perform when faced with the pressure of an intense deadline and an open-ended problem.
“The reason we invest in hackathons has little to do with idea generation,” explains Rocky Jain, director of Manulife’s RED Lab, the insurance giant’s incubator, based at Communitech in Waterloo, Ont. “It has everything to do with finding and identifying the talented developers who have the ideas.”