Podcasts about alberta machine intelligence institute

Abhishek Naik was a student at University of Alberta and Alberta Machine Intelligence Institute, and he just finished his PhD in reinforcement learning, working with Rich Sutton.  Now he is a postdoc fellow at the National Research Council of Canada, where he does AI research on Space applications.  Featured References  Reinforcement Learning for Continuing Problems Using Average Reward Abhishek Naik Ph.D. dissertation 2024  Reward Centering Abhishek Naik, Yi Wan, Manan Tomar, Richard S. Sutton 2024   Learning and Planning in Average-Reward Markov Decision Processes Yi Wan, Abhishek Naik, Richard S. Sutton 2020  Discounted Reinforcement Learning Is Not an Optimization Problem Abhishek Naik, Roshan Shariff, Niko Yasui, Hengshuai Yao, Richard S. Sutton 2019  Additional References Explaining dopamine through prediction errors and beyond, Gershman et al 2024 (proposes Differential-TD-like learning mechanism in the brain around Box 4)  

In this episode, Mary Sullivan, a co-founder of Sweet but Fearless, talks with Mara Cairo, Product Owner of Advanced Technology at Alberta Machine Intelligence Institute (AMII), as she shares her insights on her career journey in the world of artificial intelligence (AI) and how to be strategic when looking towards your next step in your career. Knowing how easy it is to become pigeonholed as an expert in one area at work, Mara believes that expanding your skills set throughout your career will open up career opportunities and help you broaden your experiences. Asking lots of questions is Mara's number one tip in helping to make any career transition a smooth one. Mara Cairo is passionate about using AI for good. She has a Bachelor of Science in Electrical Engineering from the University of Alberta and holds her P.Eng. and PMP (Project Management Professional) designations. Before joining Amii, she worked in the hardware development space, where she helped clients take their products to market, with a focus on micro and nano-fabrication.   MORE ABOUT MARA CAIRO: LinkedIn: Mara Cairo United.AI/Interview Series: Mara Cairo About Alberta Machine Intelligence Institute (Amii): Mara Cairo   ABOUT SWEET BUT FEARLESS: Website - Sweet but Fearless LinkedIn - Sweet but Fearless

Adam Danyleyko is a dedicated advocate for the startup community, with a background steeped in fostering growth and innovation. As the Product Owner for Startups at Amii (the Alberta Machine Intelligence Institute), he brings a wealth of knowledge and experience to the table. With over four years of diverse experience in roles ranging from HR Business Partner in Alberta Energy to Policy Analyst in Economic Development & Trade, Adam has honed his skills in community building and policy development. ‌His passion for nurturing startups was ignited during his tenure at Startup Edmonton, where he played a pivotal role in expanding post-secondary programming and leading the Community Team. What you will learn Why AI is important for startups and how it can change the game in terms of innovation How Adam eventually discovered his real passion in helping startup founders succeed A peek into Canada's startup world, including what kind of industries are hot right now The scoop on AI in the startup universe and the challenges of getting the tech support needed Why figuring out what you want to do with your life is tough, and how curiosity can help A look at how careers are changing, and why data as the new oil that powers innovation and decisions Plus loads more!

Key Points From This Episode:Amii's machine learning project management tool: MLPL.Amii's ultimate goal of building capacity and how it differs from an agency model. Asking the right questions to ascertain the appropriate use for AI. Instances where AI is not a relevant solution. Common challenges people face when adopting AI strategies. Mara's perspective on the education necessary to excel in a career in machine learning.Quotes:“Amii is all about capacity building, so we're not a traditional agent in that sense. We are trying to educate and inform industry on how to do this work, with Amii at first, but then without Amii at the end.” — Mara Cairo [0:06:20]“We need to ask the right questions. That's one of the first things we need to do, is to explore where the problems are.” — Mara Cairo [0:07:46]“We certainly are comfortable turning certain business problems away if we don't feel it's an ethical match or if we truly feel it isn't a problem that will benefit much from machine learning.” — Mara Cairo [0:11:52]Links Mentioned in Today's Episode:Maria CairoMaria Cairo on LinkedInAlberta Machine Intelligence UnitHow AI HappensSama

Ready to take the dive into AI utilization? Whether you're a seasoned professional or just beginning to explore the potential of AI, tune in as we delve into the exciting possibilities that arise when organizations take their first steps into integrating AI technologies. We are joined by Mara Cairo, product owner of the advanced technology team at the Alberta Machine Intelligence Institute, and guest host Heather Ferguson, Sr editorial manager at Alteryx. Interested in sharing your feedback with the Alter Everything team? Take our feedback survey here!GuestsMara Cairo - LinkedInHeather Ferguson - @heatherferguson, LinkedInShow notesAlteryx FREE trialAlberta Machine Intelligence InstituteTake our feedback survey here

For this episode, I spoke with Mara Cairo (@AmiiThinks), Product Owner, Advanced Technology at Alberta Machine Intelligence Institute, on the topics of addressing non-technical fears of AI, and successfully implementing an enterprise AI strategy. You can find more information on my guest on my blog at https://www.buckleyplanet.com/2023/09/collabtalk-podcast-episode-94-with-mara-cairo.html

Artificial intelligence has taken the public imagination by storm and things are moving quickly. At Inventures 2023 in Calgary we had Ian Beacraft and Timnit Gebru dedicate their keynotes to it, and a panel featuring representatives from Microsoft, Enmax and the Alberta Machine Intelligence Institute discussing it from an industry perspective. Today, we're featuring my discussion with Ian Hargreaves from ATB. Ian and I dive in and build off a previous discussion he had on Tyler Chisolm's podcast Collision YYC (I encourage you to give it a listen) to further explore the implications, considerations and what keeps him up at night as far as artificial intelligence goes. Again, things have been moving fast and we'll talk about some of the changes that have occurred between his and Tyler's interview and his and mine. One of Ian's big messages is that it's critical for us, ALL of US, to stay on top of AI developments and specifically business exploring the use of AI to understand the role and implications of the incoming federal Act C-27.  BioIan Hargreaves, Fellow, Artificial Intelligence at ATBAs Fellow of Artificial Intelligence at ATB, Ian is responsible for taking AI out of the lab. This means creating secure, scalable and transparent platforms that deliver on core AI capabilities like computer vision or personalization. His mission is to weave a thread of AI through all digital experiences at ATB - whether it's tools used by ATB team members, or experiences that directly benefit customers. By rethinking how teams build, support and deliver AI capabilities, Ian and his team believe that they can truly reimagine banking by surrounding all Albertans with a network of intelligent services designed to grow their wealth, however they define it.After an academic career using neuroimaging and predictive models to understand how people make decisions, Ian graduated from the University of Calgary with a PhD in Brain and Cognitive Sciences. Ian has developed both highly valuable intellectual property and also the foundations of a data science practice within business operations. Ian has managed numerous proofs of concept, and in scaling those quickly learned that the impact of AI is ultimately limited by trust: trust in the algorithm, trust in the team that designed it, and trust in the overall strategy. Ian has co-authored one patent and has 20 academic publications.Shift by Alberta Innovates focuses on the people, businesses and organizations that are contributing to Alberta's strong tech ecosystem.

Support us! https://www.patreon.com/mlst Alan Chan is a PhD student at Mila, the Montreal Institute for Learning Algorithms, supervised by Nicolas Le Roux. Before joining Mila, Alan was a Masters student at the Alberta Machine Intelligence Institute and the University of Alberta, where he worked with Martha White. Alan's expertise and research interests encompass value alignment and AI governance. He is currently exploring the measurement of harms from language models and the incentives that agents have to impact the world. Alan's research focuses on understanding and controlling the values expressed by machine learning models. His projects have examined the regulation of explainability in algorithmic systems, scoring rules for performative binary prediction, the effects of global exclusion in AI development, and the role of a graduate student in approaching ethical impacts in AI research. In addition, Alan has conducted research into inverse policy evaluation for value-based sequential decision-making, and the concept of "normal accidents" and AI systems. Alan's research is motivated by the need to align AI systems with human values, and his passion for scientific and governance work in this field. Alan's energy and enthusiasm for his field is infectious. This was a discussion at NeurIPS. It was in quite a loud environment so the audio quality could have been better. References: The Rationalist's Guide to the Galaxy: Superintelligent AI and the Geeks Who Are Trying to Save Humanity's Future [Tim Chivers] https://www.amazon.co.uk/Does-Not-Hate-You-Superintelligence/dp/1474608795 The implausibility of intelligence explosion [Chollet] https://medium.com/@francois.chollet/the-impossibility-of-intelligence-explosion-5be4a9eda6ec Superintelligence: Paths, Dangers, Strategies [Bostrom] https://www.amazon.co.uk/Superintelligence-Dangers-Strategies-Nick-Bostrom/dp/0199678111 A Theory of Universal Artificial Intelligence based on Algorithmic Complexity [Hutter] https://arxiv.org/abs/cs/0004001 YT version: https://youtu.be/XBMnOsv9_pk MLST Discord: https://discord.gg/aNPkGUQtc5

In the final episode of the AI for Information Accessibility podcast, host Ayushi Khemka talks to Dr. Eleni Stroulia and Dr. Martha White, both professors in the Department of Computing Science at the University of Alberta. Stroulia is also the director of the university's AI4Society Signature Area, while White is the PI of the Alberta Machine Intelligence Institute. They discussed the issues around AI, IA and gender, exploring both the pedagogical and industrial contexts, shedding light on how to situate gender equity as a guiding principle in AI and the different ways in which gender comes up in a computing science classroom. The conversation concluded with a discussion on the representation problem in AI and allied fields, while holding space for women's experiences in tech at large. The AI4IA podcast series is in association with the Artificial Intelligence for Information Accessibility 2022 Conference, which took place on September 28 to commemorate the International Day for Universal Access to Information. The AI4IA Conference and the podcast series are also being hosted in collaboration with AI4Society and the Kule Institute for Advanced Studies, both at the University of Alberta; the Centre for New Economic Diplomacy at the Observer Research Foundation in India; and the Broadcasting Commission of Jamaica. To access conference presentations, use this link.

Happy new year!As one of Canada's three centres of AI excellence, as part of the Pan-Canadian AI Strategy, the Alberta Machine Intelligence Institute in Edmonton, Alberta boasts some serious powerhouses of the artificial intelligence and machine learning world. People like Richard Sutton, who's widely regarded as the father of reinforcement learning, a branch of machine learning that focuses on how AI should take actions to achieve an end goal. Michael Bowling, who's work with DeepStack (the first AI to beat human professionals at heads-up no-limit Texas hold'em) showed the world that an algorithm can navigate its way through imperfect information to beat humans; Patrick Pilarski and his work with prosthetic limbs; and many many more.And the team is now turning their heads toward helping Alberta businesses get the strategic advantage that artificial intelligence and machine learning can provide. Join us for this first episode of the 2021 season. Welcome to Shift.BIOCam Linke is the CEO of the Alberta Machine Intelligence Institute in Edmonton, Alberta. He is a longtime leader in Edmonton's technology and startup community. Over the past 10 years, he has worked as a CEO, investor, community builder, product manager, software entrepreneur, academic, and developer.Past roles include co-founder of Startup Edmonton, Founder of Flightpath Ventures, CEO of Touch Metric, Product Manager at Nexopia.com, and Founder of DemoCamp Edmonton. Linke is a sought-after speaker and mentor and has been recognized as Avenue Magazine Top 40 Under 40.He is also an artificial intelligence researcher, currently studying under Dr. Richard Sutton and Dr. Adam White. His research, which focuses on AI adapting behaviours to improve their own self-learning, has been published at top conferences.Cam's bio was adapted from the AMII website.

The latest headlines & happenings in Edmonton's tech community. This week: The Edmonton Public Library revealed a new Makerspace and Gamerspace during a virtual open house for the revitalized Stanley A. Milner Library; Sprout Fund has invested in EZOps; the Alberta Machine Intelligence Institute has launched a new website with a focus on applied AI; Visionstate has seen increased interest in its Wanda solution during COVID-19; Spontivly will participate in North Forge Founders Program.

The latest headlines & happenings in Edmonton's tech community. This week: Alberta's Recovery Plan aims to accelerate economic diversification with various support for the tech sector; Alberta Innovates look at what's next for AI in the province; the Alberta Machine Intelligence Institute has announced a 16-week certificate course; Startup TNT has published a report to the community; Silent-Aire is expanding in the region.

The latest headlines & happenings in Edmonton's tech community. This week: Scope AR has acquired Tel Aviv, Israel-based WakingApp, City Council votes to create new innovation-focused entity, the University of Alberta's new Associate VP (Innovation) talks about the challenges ahead, the Alberta Machine Intelligence Institute launches two new programs, RUNWITHIT Synthetics is profiled, and dealcloser announces a new partnership.

Artificial Intelligence is the future of business. Whether it be oil and gas, agriculture, health care, banking, or retail, big data and machine learning have transformed everything we do. A world-class talent pool at the University of Alberta, the Alberta Machine Intelligence Institute and Google DeepMind have turned Edmonton into a global AI powerhouse. Government, universities, and the private sector must work hand-in-hand to further develop Alberta’s AI capacity, so that both the province and country can reap the social and economic rewards of being at the forefront of the next industrial revolution.

in episode 15 of season five of Talking Machines we' chat about the recently announced workshops at NeurIPS 2019, find ourselves in the middle of an I Love Lucy Episode about technical term usage and talk with Randy Goebel of the Alberta Machine Intelligence Institute

Randy Goebel, PhD - Fellow with the Alberta Machine Intelligence Institute and Professor of Computer Science with the University of Alberta.Highlights:why law? How is AI applied to law and what can AI scientists learn from lawUsing AI to "pass" the Japanese Bar exam and the annual Competition on Legal Information Extraction and Entailment (COLIEE)cross-disciplinary studies, working with industryMachine Learning - a necessary but insufficient means of tackling complex problems in lawImportance of domain expertise and the essential role of the librarian as metadata expert and curatorVideo of this interview is available on YouTube.

Crossing machine intelligence, robotics, and medicine, Patrick Pilarski (@patrickpilarski) is working on smart prosthetic limbs. Build your own learning robot references: Weka Data Mining Software in Java for getting to know your data, OpenIA Gym for understanding reinforcement learning algorithms, Robotis Servos for the robot (AX is the lower priced line), and five lines of code: Patrick even made us a file (with comments and everything!). Once done, you can enter the Cybathlon. (Or check out a look at Cybathlon 2016 coverage.) Machine Man by Max Barry Snow Country by Bokushi Suzuki Aimee Mullins and her many amazing legs (TED Talk) Patrick is a professor at University of Alberta, though a lot more than that: he is the Canada Research Chair in Machine Intelligence for Rehabilitation at the University of Alberta, and Assistant Professor in the Division of Physical Medicine and Rehabilitation, and a principal investigator with both the Alberta Machine Intelligence Institute  (Amii) and the Reinforcement Learning and Artificial Intelligence Laboratory (RLAI). See his TED talk: Intelligent Artificial Limbs.

Crossing machine intelligence, robotics, and medicine, Patrick Pilarski (@patrickpilarski) is working on smart prosthetic limbs. Build your own learning robot references: Weka Data Mining Software in Java for getting to know your data, OpenIA Gym for understanding reinforcement learning algorithms, Robotis Servos for the robot (AX is the lower priced line), and five lines of code: pred = numpy.dot(xt,w) delta = r + gamma*numpy.dot(xtp1,w) - pred e = gamma*lamda*e + xt w = w + alpha*delta*e xt = xtp1 Patrick even made us a file (with comments and everything!). Once done, you can enter the Cybathlon. (Or check out a look at Cybathlon 2016 coverage.) Machine Man by Max Barry Snow Country by Bokushi Suzuki Aimee Mullins and her many amazing legs (TED Talk) Patrick is a professor at University of Alberta, though a lot more than that: he is the Canada Research Chair in Machine Intelligence for Rehabilitation at the University of Alberta, and Assistant Professor in the Division of Physical Medicine and Rehabilitation, and a principal investigator with both the Alberta Machine Intelligence Institute  (Amii) and the Reinforcement Learning and Artificial Intelligence Laboratory (RLAI). See his TED talk: Intelligent Artificial Limbs.

From the significance of Google DeepMind's AlphaGo wins to recent advances in "expert-level artificial intelligence" in playing an imperfect/ asymmetric information game like poker, toys and games have played and continue to play a critical role in advancing machine intelligence. One of the pioneers in this area among others is the Alberta Innovates Centre for Machine Learning -- now the Alberta Machine Intelligence Institute (amii) -- which in 2007 solved the long-standing challenge of checkers, and in 2015 produced the first AI agent capable of playing "an essentially perfect game" of heads-up limit hold'em poker. But what does that mean for the evolution of such technology out of play and into production? Out of universities and into industry? (Especially when many such university programs and talent are being hollowed out by companies and they're reliant on intellectual property or provincial support, as is the case of this University of Alberta based institute). And how can CEOs and others embrace learning about this tech somewhere in between? So... what will it take to make AI "real"? What about genetic algorithms, treating computers like people, and other near- and far-future possibilities? This episode featuring the executive director of Amii, Cameron Schuler, and a16z deal, research, and investing team operating head Frank Chen covers all this and more. The conversation was recorded recently as part of our inaugural a16z Summit event. image: Nyks / Wikimedia Commons