This video is from our Saturday morning panel discussions during Elevate – Cardus’ 20th anniversary celebration! Watch our panelists discuss technology, culture and affordable housing in Canada. In this video we cover: First Panel Discussion: Our Cultural Moment with Cherie Harder and Anne Snyder, interviewed by Ray Pennings and Joanna VanHof 00:30 – 10:12 Introduction by Ray Pennings 10:13 – 13:10 Research Summary by Joanna Van Hof 13:11 – 19:59 Technology and Being Human – How Does it Influence Reality? 19:58 – 28:40 The Ethical Dimensions of Technology 29:00 – 40:19 Polarization and Ideologies 40:20 – 44:23 Inheritors of Wisdom from Those Who Came Before Us 44:24 – 48:32 Reinvigorating a Wholistic Approach to Ideas 48:33 – 52:38 Leadership Formation 52:39 – 58:05 Panel Wrap Up Second Panel Discussion: Affordable Housing Panel with Ernest Lang, Jeff Neven, Michael Crook, Graham Singh moderated by Brian Dijkema 58:55 – 1:02:20 Introductions 1:02:20 – 1:05:59 What is the Nature of Our Housing Problem? 1:06:00 – 1:13:45 How Are Other Countries Addressing This Problem? 1:13:46 – 1:21:22 About Community Housing 1:21:23 – 1:28:09 How Are Churches Using Their Assets? 1:28:10 – 1:31:13 The Younger Generation and Home Ownership 1:31:27 – 1:33:12 Home Ownership Models Around the World 1:33:26 – 1:48:59 Housing Policy and Leading the Way to Improvement 1:49:30 – 1:56:19 Closing Remarks Watch the Other Elevate Sessions here: Thursday night – Rt. Hon. David Johnston on Servant Leadership & Panel Discussion on Recent Polling Data about Young Leaders in Canada: Friday Morning [More]
Anima Anandkumar of Caltech and NVIDIA. This talk was given on April 1, 2022. Autonomous robots need to be efficient and agile, and be able to handle a wide range of tasks and environmental conditions. This requires the ability to learn good representations of domains and tasks using a variety of sources such as demonstrations and simulations. Representation learning for robotic tasks needs to be generalizable and robust. I will describe some key ingredients to enable this: (1) robust self-supervised learning (2) uncertainty awareness (3) compositionality. We utilize NVIDIA Isaac for GPU-accelerated robot learning at scale on a variety of tasks and domains. 00:48 Generlizable Learning for Robotics 01:53 Trinity of Generalizable AI 05:08 Physical World if Continuous 07:08 Motivating Problem in Robotics 08:35 State estimation through PDE observer 09:59 Grid-free learning for continuous phenomena 12:32 Neural Operator 15:02 Fourier Transform for global convolution 16:06 FNO: Fourier Neural Operator 18:34 First ML method to solve fluid flow 25:42 Nvidia Modulus 29:08 Operational Space Control (OSC) 38:54 Reducing Supervision and enhancing robustness 47:06 Conclusion Learn more about Stanford Online’s Robotics Program and courses here:
► Subscribe to the Financial Times on YouTube: Will the rise of the robots usher in a jobless, machine-dominated dystopia or a productive partnership with sophisticated computer-helpers? Andrew Hill, management editor, considers what the automated future holds for white-collar workers. For more video content from the Financial Times, visit Twitter Facebook
Book 6/52. Are machines going to take over my job? This is a question more and more people are asking these days. In this video I cover off the main industries that are being threatened as well as what you can do to avoid falling victim to this trend. Book 4/52. How do Navy SEALs lead under extreme pressure? What are the rules they follow to ensure their missions are a success? What leadership training do SEALs get? In this book you’ll get all the answers. Jocko Willink and Leif Babin cover all their greatest lessons from leading SEALs in Iraq, to training them and assisting businesses to implement these principles. If you enjoyed this video, please like it or share it. To get an email for every new summary I do sign up to the news letter at
How do different cultures value human life? To find out, researchers created a viral online experiment to gather data from millions of participants across the world. Some values generalised across cultures, but others came as a surprise. Find out more in this Nature Video. Take part in the experiment here: Find the original research paper here: *CORRECTION* The spelling of Massachusetts at 00:38 is incorrect. We regret the error.
By exploring how technology is changing how we receive, process and contribute information, and therefore how we interact with culture, Colum discuss how we are in the process of re-writing our cultural paradigm. Is Artificial Intelligence an educational game-changer, or should we fear it? Colum Elliott-Kelly is Head of Education at Blippar, the world’s leading visual discovery platform. Blippar Edu’s vision is to turn the world into an interactive learning environment, and the scope of the strategy covers schools, cultural institutions, workplaces and the world around us. Before joining Blippar in Summer 2014, Colum co-founded an e-learning start-up which brought world class lecturers and content to UK secondary schools. He is currently pre-launch on a non-profit organisation dedicated to promoting educational technology in the developing world. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at