Make Sense of Machine Learning

Heralded by many as the fourth industrial revolution, artificial intelligence has inspired countless news articles, novels, and films. With this deluge of information comes hopes and aspirations, fears and misconceptions – some justified and others not.

How can we make sense of it all? 

Join Amii as we pull back the curtain on AI and lay a pragmatic foundation for what AI is, what it isn’t, and how you can begin to think about the place of AI in your business.

Event Information

Register today!

Tuesday, February 26, 2019

12 – 1 p.m.

Startup Edmonton

#301, 10359 104 Street Northwest

Edmonton, AB T5J 1B9

Meet the Brightest Minds in Edmonton’s AI Community

Amii’s monthly meetup brings together the brightest minds in Edmonton’s AI community.

Discuss the latest topics in AI and machine learning, learn about the latest tools and techniques in machine learning, discover how companies are using AI to drive value, and network with thought leaders from Amii, local AI companies, service providers, and corporate labs.

This month’s talk features Johannes Günther presenting a modular, ML-based control approach to industrial laser welding using deep learning and reinforcement learning techniques, and Dornoosh Zonoobi from MEDO.ai, who will explore how ML & AI can radically simplify the way ultrasound scans are performed and interpreted, enabling any caregiver to make an accurate & confident diagnosis.

Join us for Amii’s monthly AI Meetup and be a part of building Edmonton’s growing AI community!

Event Information

Register today!

Monday, February 25, 2019

5:15 p.m. – 6:30 p.m.

Startup Edmonton

#301, 10359 104 Street Northwest

Edmonton, AB T5J 1B9

Your Introduction to Amii

Hello Amii! is your introduction to the Alberta Machine Intelligence Institute and our Applied Machine Learning team.

Learn how our experts can guide your teams and processes to help propel your business to the next level using machine intelligence. We want to take you beyond small-scale AI projects that will have a local impact in your company and jumpstart your thinking around the ways artificial intelligence and machine learning can help drive the next stage of growth for your business.

Join us at Hello Amii! and discover how our team of expert Machine Learning Advisors can help you gain the knowledge, skills and abilities you need to create a transformational shift in the way your teams think about data and decision making.

Event Information

Register today!

Monday, March 4, 2019

5 – 6 p.m.

Nucleus Calgary

100 6 Avenue Southwest

Calgary, AB T2G 2C4

Your Introduction to Amii

Hello Amii! is your introduction to the Alberta Machine Intelligence Institute and our Applied Machine Learning team.

Learn how our experts can guide your teams and processes to help propel your business to the next level using machine intelligence. We want to take you beyond small-scale AI projects that will have a local impact in your company and jumpstart your thinking around the ways artificial intelligence and machine learning can help drive the next stage of growth for your business.

Join us at Hello Amii! and discover how our team of expert Machine Learning Advisors can help you gain the knowledge, skills and abilities you need to create a transformational shift in the way your teams think about data and decision making.

Event Information

Register today!

Thursday, February 21, 2019

12 – 1 p.m.

Amii HQ

#1101, 10065 Jasper Avenue NW

Edmonton, AB T5J 3B1

Lunch is provided!

Keep up to date on research coming out of the University of Alberta and beyond!

The Artificial Intelligence Seminar is a weekly meeting where researchers interested in AI can share their research. Presenters include both local speakers from the University of Alberta and visitors from other institutions. Topics related in any way to Artificial Intelligence can be presented, from foundational theoretical work to innovative applications of AI techniques to new fields and problems.

Each AI Seminar happens (unless otherwise specified) at 12 – 1 pm at the University of Alberta Computing Science Center, CSC B-10 (click here for a floorplan). Plus, pizza is provided for all attendees!

Here are the AI Seminars happening in February 2019:

February 8: Ilbin and Bo

Speaker 1: Ilbin Lee

Title: Introducing some Machine Learning Research Projects in Wildfire and Healthcare Applications

Abstract:
In this talk, Ilbin Lee will briefly introduce machine learning projects in wildfire and hospital operations. These two projects involve the use of machine intelligence models to predict risk and therefore increase the likelihood of successful intervention.

Bio: Ilbin Lee is an assistant professor in operations management at the University of Alberta School of Business. He was a postdoctoral fellow in the School of Industrial and Systems Engineering at Georgia Institute of Technology. He obtained his PhD in Industrial and Operations Engineering at the University of Michigan in 2015. His research interests include sequential decision-making based on data and prediction, computational optimization, and wildfire and healthcare applications.

Speaker 2: Bo Cao

Title: Machine Learning Applied to Psychiatric Disorders Understanding

Abstract: Bo Cao will talk about several studies using machine learning and brain imaging to understand psychiatric disorders, identify patients with these disorders and predict the treatment outcomes.

Bio: Bo Cao is trained in mathematics (BSc), psychology (MSc), computational neuroscience (PhD), neuroimaging and psychiatry (postdoc), and has a strong passion for understanding the fundamental mechanisms of how the brain works and how to cure the brain when the mechanisms are disturbed. He currently is an Assistant Professor of the Department of Psychiatry at the University of Alberta.

February 15

More details to come

February 22: Hengshuai Yao

Title: ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search

Abstract: In this seminar, Hengshuai Yao presents a paper which he co-authored with Shangtong Zhang and Hao Chen, regarding propose actor ensemble algorithm, named ACE, for continuous control with a deterministic policy in reinforcement learning. This paper was accepted by the AAAI 2019 Conference on Artificial Intelligence.

Bio: Hengshuai studied reinforcement learning at Reinforcement Learning and Artificial Intelligence (RLAI) lab from 2008 to 2015 in a PhD program at Department of Computing Science (supervised by Csaba Szepesvári), University of Alberta. His thesis is on model-based reinforcement learning with linear function approximation. He joined NCSoft game studio in San Francisco in 2016 working on reinforcement learning in games. He moved back to Canada in 2017 and joined Huawei Noah’s Ark Lab. Right now he is working on reinforcement learning and robotics.

BONUS Seminar
February 22, 2 – 3 pm: Marc Bellemare

Title: A geometric perspective on optimal representations in reinforcement learning

Abstract: In reinforcement learning, an important component of an agent is its representation of state: how it encodes raw state inputs into features that are useful to the process of decision-making. This talk presents some recent work on what constitutes a good representation, especially in the context of deep reinforcement learning, where the representation itself can be adapted to minimize prediction error.

Bio: Marc G. Bellemare is a research scientist at Google Brain in Montreal, Canada; CIFAR Learning in Machines & Brain Fellow; adjunct professor at McGill University; and was recently awarded a Canada CIFAR AI chair, held at the Montreal Institute for Learning Algorithms (Mila). He received his Ph.D. from the University of Alberta where he studied the concept of domain-independent agents and developed the highly-successful Arcade Learning Environment, the platform for AI research on Atari 2600 games. From 2013 to 2017 he was a research scientist at DeepMind where he made major contributions to the field of deep reinforcement learning.


Are you interested in presenting at an AI Seminar? If so, please contact the current organizer, Juliano Rabelo, at rabelo@ualberta.ca.

Creating AI Strategy for Innovation Affiliates

Come find out Amii’s approach to creating AI strategy for our Innovation Affiliates.

We’ll discuss the data maturity you need to begin an AI initiative, how to develop your internal capacity to tackle disruptive industry questions, and finally, how sound change management concepts will tie all of your efforts together.

Please note that a basic knowledge of machine intelligence is required to understand this session.

Event Information

Register today!

Friday, February 22, 2019

12 – 1 p.m.

Amii HQ

#1101, 10065 Jasper Avenue NW

Edmonton, AB T5J 3B1

Amii and CIFAR are thrilled to host the Deep Learning & Reinforcement Learning Summer School in Edmonton this July 24 – August 2.

The Summer School brings together graduate students, post-doctoral fellows and industry professionals to explore the latest AI techniques and advancements, build their research networks and open new opportunities for collaboration. Participants learn directly from world-renowned AI researchers including Richard Sutton, Yoshua Bengio and Martha White. Other programming includes an AI Career Fair and social events around town.

DLRL Summer School 2018 - Rear view of classroom
DLRL Summer School 2018 in Toronto
Photo credit: Vector Institute and CIFAR

To celebrate applications opening for the Summer School, we asked three of last year’s attendees to tell us about their experiences and why they would recommend applying for the upcoming event. Check out what they had to say below:

1. Why did you decide to apply for the 2018 Deep Learning & Reinforcement Learning Summer School?

Katya: The [Summer School] is an incredible opportunity to meet distinguished researchers in the field face-to-face, get the latest cutting-edge research and, no less important, to connect and meet fellow students, find out what they are working on and discuss potential collaborative projects. This past year we had people from the University of Toronto, Université de Montréal, McGill, University of Alberta, CMU, MIT, Stanford, Google, Duke.

Matthew: When the application went up, I was actually informed by several of my lab mates that the Summer School was something that would be extremely valuable in my future research. There was also quite a big push to apply in the RLAI [editor’s note: Reinforcement Learning & Artificial Intelligence] Lab here at University of Alberta. I joined in and was even more excited once I saw the list of speakers.

Raksha: I was aware of various summer schools, but I’d never gotten a chance to attend one. So in late winter of 2018, when I heard about the [Summer School] happening in Toronto, it seemed like the perfect opportunity. The list of speakers for the school were distinguished researchers in the area, plus the RL school component, the positive reviews from peers who had been to the 2017 version, and encouragement to attend by professors in the department, made it very exciting – and I decided to apply to it!

2. What did you enjoy most about the event?

Katya: People. The brain power and diversity of research backgrounds in the room were fascinating. It was also valuable that the timetable had plenty of time for networking, i.e. over lunch.

Matthew: I was struck by the amazing talent of all the participants and how many were from fields outside machine learning and reinforcement learning. Some of my favorite conversations were with physicists who were looking to apply deep learning or reinforcement learning to model the dynamics of particular physical systems. There was also a lot of opportunity to connect with people from around the world. Learning about the many avenues of research explored is awe-inspiring and a reminder that my own interests are a minuscule part of the picture.

Raksha: As the focus is both on deep learning and reinforcement learning, it was a great opportunity for me, a person who works in reinforcement learning, to get insight into state-of-the-art research in deep learning and hear different perspectives about reinforcement learning. Additionally, it was really nice to meet and interact with the extended peer/research community in a more school-like setting!

3. Did the Summer School affect your career and/or research trajectory? If so, how?

Katya: Terrific impact. During one of the breaks, we sat down with Rich Sutton and discussed a new project. As a result of that discussion, four months later, I am visiting the RLAI group at the University of Alberta and working with Rich on this project, which becomes an intersection of the NLP and RL. This is a great example where a conversation turned into a mind-blowing experience – and not because of the winter in Alberta (I am from Siberia!) – but by being in the “mecca of RL” and having an opportunity to learn from Rich and the group.

Matthew: I would say it emboldened my research trajectory. My interests are still the same — i.e using reinforcement learning to make predictions of the world through interactions — but I am more excited about this topic and how it relates to the wider AI community. The scope of my research has also widened. While before I was very narrow in what I thought was the way forward, I am now looking towards many communities I had not considered (or was even aware of!).

Raksha: [The] chance to discuss my research with some leading researchers, listen to their experiences and thoughts about what’s to come and where we are headed, meet and interact with peers who are pursuing interesting problems in their research, etc., has been very inspiring!

4. What was the most valuable thing you learned or experienced at the event?

Katya: Being able to connect with people and learn from them … [S]uch as having an opportunity to ask Graham Neubig hundreds of questions and get most practical answers, learning about RLAI Lab from the people in that group and connecting with people there, being deeply inspired by Martha White and Jamie Kiros.

Matthew: I found the most value in how my view on the field was expanded. The exposure of ideas and topics that I hadn’t yet seen sparked many ideas that I want to explore in my future research. It gave me perspective on the massive amount of work that is still left, but with that the many interesting topics still unexplored.

Raksha: I have always heard about the general [Deep Learning/Reinforcement Learning] community being large and diverse, but this was my first hands-on experience of it. It was invaluable to meet and interact with peers from various countries! The Summer School was filled with energy from day one — and we got a sneak-peak into the breadth of research in the community, in a classroom-like setting, which was really valuable!

Interested in attending? Applications for the Summer School are open until February 15! (Editor’s note: Applications have now been extended until February 22)

Visit dlrlsummerschool.ca for more information and to apply today.
Your Introduction to Amii

Hello Amii! is your introduction to the Alberta Machine Intelligence Institute and our Applied Machine Learning team.

Learn how our experts can guide your teams and processes to help propel your business to the next level using machine intelligence. We want to take you beyond small-scale AI projects that will have a local impact in your company and jumpstart your thinking around the ways artificial intelligence and machine learning can help drive the next stage of growth for your business.

Join us at Hello Amii! and discover how our team of expert Machine Learning Advisors can help you gain the knowledge, skills and abilities you need to create a transformational shift in the way your teams think about data and decision making.

Event Information

Register today!

Thursday, February 7, 2019
5:30 – 6:30 p.m.

Amii HQ
#1101, 10065 Jasper Avenue NW
Edmonton, AB T5J 3B1

Meet the Brightest Minds in Edmonton’s AI Community

Amii’s monthly meetup brings together the brightest minds in Edmonton’s AI community.

Discuss the latest topics in AI and machine learning, learn about the latest tools and techniques in machine learning, discover how companies are using AI to drive value, and network with thought leaders from Amii, local AI companies, service providers, and corporate labs.

Don’t miss out on the opportunity to hear from Nadia Ady and Sean Feehanat this AI Meetup. Nadia (from Amii) is an expert on curiosity and Sean is leading the team at Drivewyze as they integrate AI into their fast-growth SaaS business.

Join us for Amii’s monthly AI Meetup and be a part of building Edmonton’s growing AI community!

Event Information

Register today!

Tuesday, January 22, 2019
5:15 p.m. – 6:30 p.m.

Startup Edmonton
#301, 10359 104 Street Northwest
Edmonton, AB T5J 1B9

Make Sense of Machine Learning

Heralded by many as the fourth industrial revolution, artificial intelligence has inspired countless news articles, novels, and films. With this deluge of information comes hopes and aspirations, fears and misconceptions – some justified and others not.

How can we make sense of it all? 

Join Amii as we pull back the curtain on AI and lay a pragmatic foundation for what AI is, what it isn’t, and how you can begin to think about the place of AI in your business.

Event Information

Register today!

Tuesday, January 29, 2019
12 – 1 p.m.

Startup Edmonton
#301, 10359 104 Street Northwest
Edmonton, AB T5J 1B9

About DLRL Summer School

Deep Learning and Reinforcement Learning Summer School brings together graduate students, post-docs and professionals to cover the foundational research, new developments, and real-world applications of deep learning and reinforcement learning. Participants learn directly from world-renowned researchers and lecturers. Related extracurricular activities will include an AI Career Fair, industry and partner-sponsored events, as well as tourism events.

The event is aimed at graduate students, postdocs, and industry professionals who already have some basic knowledge of machine learning (and possibly but not necessarily of deep learning and reinforcement learning) and wish to learn more about this rapidly growing field of research. Participants should have advanced prior training in computer science and mathematics.

The 2019 DLRLSS is hosted by the Canadian Institute For Advanced Research (CIFAR) and the Alberta Machine Intelligence Institute (Amii), with participation and support from the Vector Institute and the Institut québécois d’intelligence artificielle (Mila).

Event Information

Applications are now open! Please visit https://dlrlsummerschool.ca to apply.

July 24 – August 2, 2019
Edmonton, Alberta, Canada

Make Sense of Machine Learning

Heralded by many as the fourth industrial revolution, artificial intelligence has inspired countless news articles, novels, and films. With this deluge of information comes hopes and aspirations, fears and misconceptions – some justified and others not.

How can we make sense of it all? 

Join Amii as we pull back the curtain on AI and lay a pragmatic foundation for what AI is, what it isn’t, and how you can begin to think about the place of AI in your business.

Event Information

Register today!

Wednesday, December 5, 2018
5:15 p.m. – 6:30 p.m.

The Global Business Centre
136 8th Ave SE
Terrace View Room (5th floor)
Calgary, AB

Make Sense of Machine Learning

Heralded by many as the fourth industrial revolution, artificial intelligence has inspired countless news articles, novels, and films. With this deluge of information comes hopes and aspirations, fears and misconceptions – some justified and others not.

How can we make sense of it all? 

Join Amii as we pull back the curtain on AI and lay a pragmatic foundation for what AI is, what it isn’t, and how you can begin to think about the place of AI in your business.

Event Information

Register today!

Monday, December 17, 2018
12 p.m. – 1 p.m.

Startup Edmonton
#301, 10359 104 Street Northwest
Edmonton, Alberta

Make Sense of Machine Learning

Heralded by many as the fourth industrial revolution, artificial intelligence has inspired countless news articles, novels, and films. With this deluge of information comes hopes and aspirations, fears and misconceptions – some justified and others not.

How can we make sense of it all? 

Join Amii as we pull back the curtain on AI and lay a pragmatic foundation for what AI is, what it isn’t, and how you can begin to think about the place of AI in your business.

Register today!