{"id":68,"date":"2021-11-03T15:55:58","date_gmt":"2021-11-03T15:55:58","guid":{"rendered":"https:\/\/lassonde.yorku.ca\/ical\/?page_id=68"},"modified":"2025-01-27T16:25:54","modified_gmt":"2025-01-27T16:25:54","slug":"video-library","status":"publish","type":"page","link":"https:\/\/lassonde.yorku.ca\/ical\/video-library\/","title":{"rendered":"Distinguished Speaker Series"},"content":{"rendered":"\n<p class=\"has-medium-font-size\"><strong>Note:<\/strong>&nbsp;All videos created with the consent of the presenters. These are provided for personal research and study use only and may not be re-broadcast or copied or transmitted for any other purpose without written permission of the presenter and the Director of IC@L.<\/p>\n\n\n\n<h1 class=\"wp-block-heading\">Upcoming Seminars<\/h1>\n\n\n\n<p class=\"has-text-align-center has-large-font-size\">Stay tuned for announcements!<\/p>\n\n\n\n<hr class=\"wp-block-separator has-css-opacity\" \/>\n\n\n\n<h1 class=\"wp-block-heading\">Past Seminars<\/h1>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<h2 class=\"wp-block-heading\">Machine Learning for Emotion Prediction, Ideology Detection and Polarization Analysis using COVID-19 Tweets<\/h2>\n\n\n\n<p><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><strong>Speaker:<\/strong>\u00a0Dr. Sanjay Madria<br><strong>Institution:<\/strong>\u00a0Missouri University of Science and Technology<br><strong>Date:<\/strong>\u00a0August 18th, 2023<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\"><div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"259\" src=\"https:\/\/lassonde.yorku.ca\/ical\/wp-content\/uploads\/sites\/14\/2024\/12\/Madria-300.jpg\" alt=\"\" class=\"wp-image-110261\" style=\"aspect-ratio:3\/2;object-fit:cover\" \/><\/figure>\n<\/div><\/div>\n<\/div>\n\n\n\n<p class=\"has-medium-font-size\"><strong>Abstract<\/strong><\/p>\n\n\n\n<p class=\"has-medium-font-size\">The adversarial impact of the Covid-19 pandemic has created a health crisis globally all over the world. This unprecedented crisis forced people to lockdown and changed almost every aspect of the regular activities of the people. Thus, the pandemic is also impacting everyone physically, mentally, and economically, and it, therefore, is paramount to analyze and understand emotional responses during the crisis affecting mental health. Negative emotional responses at fine-grained labels like anger and fear during the crisis might also lead to irreversible socio-economic damages.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<h2 class=\"wp-block-heading\">On the Relationship between Information Processing and Fitness in Biology<\/h2>\n\n\n\n<p><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><strong>Speaker:<\/strong>&nbsp;Dr. Peter J. Thomas<br><strong>Institution:<\/strong>&nbsp;Case Western Reserve University<br><strong>Date:<\/strong>&nbsp;March 23rd, 2023<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n\n    <div class=\"responsive-embed widescreen\">\n        <iframe loading=\"lazy\" title=\"Peter J. Thomas \u2013 \u201cOn the Relationship between Information Processing and Fitness in Biology\u201d\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/a5-i1GDWXsI?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen title=\"Embedded Video\"><\/iframe>    <\/div>\n\n    \n<\/div><\/figure>\n<\/div>\n<\/div>\n\n\n\n<p class=\"has-medium-font-size\"><strong>Abstract<\/strong><\/p>\n\n\n\n<p class=\"has-medium-font-size\">Information transmission and storage have gained traction as unifying concepts to characterize biological systems and their chances of survival and evolution at multiple scales. Despite the potential for an information-based mathematical framework to offer new insights into life processes and ways to interact with and control them, the main legacy is that of Shannon\u2019s, where a purely syntactic characterization of information scores systems on the basis of their maximum information efficiency. The latter metrics seem not entirely suitable for biological systems, where transmission and storage of different pieces of information (carrying different semantics) can result in different chances of survival. Based on an abstract mathematical model able to capture the parameters and behaviours of a population of single-celled organisms whose survival is correlated to information retrieval from the environment, our recent paper explores the aforementioned disconnect between classical information theory and biology.&nbsp;In this paper, we present a model, specified as a computational state machine, which is then utilized in a simulation framework constructed specifically to reveal the emergence of \u201csubjective information\u201d, i.e., the trade-off between a living system\u2019s capability to maximize the acquisition of information from the environment, and the maximization of its growth and survival over time. Simulations clearly show that a strategy that maximizes information efficiency results in a lower growth rate with respect to the strategy that gains less information but contains a higher meaning for survival.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<h2 class=\"wp-block-heading\">How to Haptic: Supporting Design of Haptic Interactions<\/h2>\n\n\n\n<p><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><strong>Speaker:<\/strong>&nbsp;Dr. Karon MacLean<br><strong>Institution:<\/strong>&nbsp;University of British Columbia<br><strong>Date:<\/strong>&nbsp;March 7<sup>th<\/sup>, 2019<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n\n    <div class=\"responsive-embed widescreen\">\n        <iframe loading=\"lazy\" title=\"Karon MacLean \u2013 How to Haptic: Supporting Design of Haptic Interactions\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/kD3R8-oELCs?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen title=\"Embedded Video\"><\/iframe>    <\/div>\n\n    \n<\/div><\/figure>\n<\/div>\n<\/div>\n\n\n\n<p class=\"has-medium-font-size\"><strong>Abstract<\/strong><\/p>\n\n\n\n<p class=\"has-medium-font-size\">Today\u2019s advances in tactile sensing and wearable, IOT and context-aware computing are spurring new ideas about how to configure touch-centered interactions in terms of roles and utility, which in turn expose new technical and social design questions. But while haptic actuation, sensing and control are improving, incorporating them into a real-world design process is extremely difficult and poses a major obstacle to adoption into everyday technology.<\/p>\n\n\n\n<p class=\"has-medium-font-size\">In this talk I\u2019ll focus on how my group has approached research into viable roles and design languages for physical communication by digging into a few divergent examples. Recently, these include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"has-medium-font-size\">Affective physical human robot interaction: e.g. raising an interactive agent\u2019s physically expressed \u2018emotional intelligence\u2019 by exploiting low-cost, stretchy touch sensing and dynamic pattern recognition, and easily-evolved and programmed mechanical platforms, where motion input and evaluation of its expressivity are tricky;<\/li>\n\n\n\n<li class=\"has-medium-font-size\">Case study observations of novice and expert haptic designers (e.g., while building a haptic learning environment) to establish their challenges and needs<\/li>\n<\/ul>\n\n\n\n<p class=\"has-medium-font-size\">The broader question is how to support design. I\u2019ll describe how we\u2019ve built what we\u2019ve learned about users\u2019 cognitive and expressive frameworks from this and other research into a multitude of guidelines, tools and DIY systems, all available online, and our plans to push this into a broader openhaptics effort.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<h2 class=\"wp-block-heading\">Capsule Networks<\/h2>\n\n\n\n<p><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><strong>Speaker:<\/strong>&nbsp;Dr. Geoffrey Hinton<br><strong>Institution:<\/strong>&nbsp;University of Toronto<br><strong>Date:<\/strong>&nbsp;February 26, 2019<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n\n    <div class=\"responsive-embed widescreen\">\n        <iframe loading=\"lazy\" title=\"Geoffrey Hinton \u2013 Capsule Networks\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/x5Vxk9twXlE?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen title=\"Embedded Video\"><\/iframe>    <\/div>\n\n    \n<\/div><\/figure>\n<\/div>\n<\/div>\n\n\n\n<p class=\"has-medium-font-size\"><strong>Abstract<\/strong><\/p>\n\n\n\n<p class=\"has-medium-font-size\">I will describe a new type of neural net that uses small groups of neurons called capsules. A capsule outputs the probability that an instance of the kind of entity it detects is currently present but it also outputs a pose vector that represents attributes of the instantiated entity such as its precise position, orientation, scale, colour, deformation, motion etc. A capsule receives input vectors from lower-level capsules, transforms them with weight matrices, and looks for sharp agreement among a subset of the transformed vectors. It then produces an output vector that is the average of the transformed vectors that agree and an output probability that is determined by the sharpness of the agreement. This &#8220;Hough&#8221; non-linearity is very different from the ones standardly used in artificial neural nets and it has a very attractive property called &#8220;coincidence filtering&#8221;. For example, a capsule can recognize a familiar shape by detecting agreement between the predictions that different parts of the shape make for the generalized pose of the whole shape and it can completely ignore irrelevant predictions. This way of recognizing shapes generalizes naturally across changes in viewpoint because all the poses change in the same way so the coincidence remains. The output of a shape-detecting capsule is initially shared among many higher-level capsules to detect larger, more complex shapes. Higher-level capsules that converge on a tight cluster then demand a larger share of the output from the lower-level capsules that contribute to the cluster and smaller share from the lower level capsules that produce outliers. I shall argue that this &#8220;routing-by-agreement&#8221; is a much better way of routing each part of the visual input to those high-level neurons that know how to deal with it than &#8220;max-pooling&#8221;, which is the primitive routing mechanism currently used in convolutional neural nets. Stochastic gradient descent in a deep hierarchy of convolutional capsules that use adaptive routing should allow us to parse images using deep parts-based models that do not require hand-engineering.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-css-opacity\" \/>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<h2 class=\"wp-block-heading\">Free software \u2013 your freedom in computing<\/h2>\n\n\n\n<p><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><strong>Speaker:<\/strong>&nbsp;Richard Stallman<br><strong>Institution:<\/strong>&nbsp;Free Software Foundation<br><strong>Date:<\/strong>&nbsp;February 7, 2019<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n\n    <div class=\"responsive-embed widescreen\">\n        <iframe loading=\"lazy\" title=\"Richard Stallman, Free Software \u2014 your freedom in computing\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/Lp3hFF2e12M?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen title=\"Embedded Video\"><\/iframe>    <\/div>\n\n    \n<\/div><\/figure>\n<\/div>\n<\/div>\n\n\n\n<p class=\"has-medium-font-size\"><strong>Abstract<\/strong><\/p>\n\n\n\n<p class=\"has-medium-font-size\">Richard Stallman will speak about the goals and philosophy of the Free Software Movement, and the status and history of the GNU operating system, which in combination with the kernel Linux is now used by tens of millions of users world-wide.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<h2 class=\"wp-block-heading\">Dimitris Metaxas &#8211; &#8220;AI and Model-based Methods for Robust and Scalable Biomedical Applications&#8221;<\/h2>\n\n\n\n<p><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><strong>Speaker:<\/strong> Dimitris Metaxas<br><strong>Institution:<\/strong> Rutgers University<br><strong>Date:<\/strong>\u00a0December 13, 2018<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\"><div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"278\" height=\"185\" src=\"https:\/\/lassonde.yorku.ca\/ical\/wp-content\/uploads\/sites\/14\/2024\/12\/Dimitris_Metaxas-edited.jpg\" alt=\"\" class=\"wp-image-110207\" style=\"width:330px;height:auto\" \/><\/figure>\n<\/div><\/div>\n<\/div>\n\n\n\n<p><\/p>\n\n\n\n<p class=\"has-medium-font-size\">Centre for Innovation in Computing at Lassonde (IC@L) is a research unit focusing on the science of computing and its realizations to enable novel solutions and technologies. The centre hosts an annual Distinguished Speakers Series that invites notable computational scientists from academia and industry. A focus session is held in addition to the Speaker\u2019s lecture.\u00a0 EECS grads and PhD\u2019s meet the invited Speaker in an informal setting to discuss and ask questions on industry related issues in computational science and get to know more about the Speaker\u2019s area(s) of research.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<h2 class=\"wp-block-heading\">Conversational Machine Learning<\/h2>\n\n\n\n<p><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><strong>Speaker:<\/strong> Tom Mitchell<br><strong>Institution:<\/strong>&nbsp;Carnegie Mellon University<br><strong>Date:<\/strong>&nbsp;October 15, 2018<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n\n    <div class=\"responsive-embed widescreen\">\n        <iframe loading=\"lazy\" title=\"Tom Mitchell \u2013 Conversational Machine Learning\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/Ws7MeLbrbqY?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen title=\"Embedded Video\"><\/iframe>    <\/div>\n\n    \n<\/div><\/figure>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<h2 class=\"wp-block-heading\">Safe Learning in Robotics<\/h2>\n\n\n\n<p><\/p>\n\n\n\n<p><strong>Speaker:\u00a0<\/strong>Claire Tomlin<br><strong>Institution:\u00a0<\/strong>University of California at Berkeley<strong><br>Date:<\/strong>\u00a0May 4, 2018<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n\n    <div class=\"responsive-embed widescreen\">\n        <iframe loading=\"lazy\" title=\"Claire Tomlin \u2013 Safe Learning in Robotics\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/wNaVmO2z8vg?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen title=\"Embedded Video\"><\/iframe>    <\/div>\n\n    \n<\/div><\/figure>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<h2 class=\"wp-block-heading\">Computational Sustainability and Resilience<\/h2>\n\n\n\n<p><\/p>\n\n\n\n<p><strong>Speaker:\u00a0<\/strong>Alan Mackworth<br><strong>Institution:\u00a0<\/strong>University of British Columbia<br><strong>Date:<\/strong>\u00a0April 12, 2018<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n\n    <div class=\"responsive-embed widescreen\">\n        <iframe loading=\"lazy\" title=\"Alan Mackworth \u2013 Computational Sustainability and Resilience\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/w9rpwJKGA8k?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen title=\"Embedded Video\"><\/iframe>    <\/div>\n\n    \n<\/div><\/figure>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<h2 class=\"wp-block-heading\">Learning from Sounds and Images<\/h2>\n\n\n\n<p><\/p>\n\n\n\n<p><strong>Speaker:\u00a0<\/strong>Antonio Torralba<br><strong>Institution:\u00a0<\/strong>Massachusetts Institute of Technology<br><strong>Date:<\/strong>\u00a0February 27, 2018<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n\n    <div class=\"responsive-embed widescreen\">\n        <iframe loading=\"lazy\" title=\"Antonio Torralba \u2013 Learning from Sounds and Images\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/svcG310-tms?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen title=\"Embedded Video\"><\/iframe>    <\/div>\n\n    \n<\/div><\/figure>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<h2 class=\"wp-block-heading\">The Continuing Quest for Secure and Usable Passwords Video<\/h2>\n\n\n\n<p><\/p>\n\n\n\n<p><strong>Speaker:\u00a0<\/strong>Lorrie Faith Cranor<br><strong>Institution:\u00a0<\/strong>Carnegie Mellon University<br><strong>Date:\u00a0<\/strong>May 16, 2017<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n\n    <div class=\"responsive-embed widescreen\">\n        <iframe loading=\"lazy\" title=\"Lorrie Faith Cranor \u2013 The Continuing Quest for Secure and Usable Passwords\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/kgGYAXJJqYE?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen title=\"Embedded Video\"><\/iframe>    <\/div>\n\n    \n<\/div><\/figure>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<h2 class=\"wp-block-heading\">AI Foundations for Data-Aware Business Processes Video<\/h2>\n\n\n\n<p><\/p>\n\n\n\n<p><strong>Speaker:\u00a0<\/strong>Giuseppe De Giacomo<br><strong>Institution:\u00a0<\/strong>Sapienza Universita\u2019 di Roma<br><strong>Date:\u00a0<\/strong>April 11, 2017<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-4-3 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n\n    <div class=\"responsive-embed widescreen\">\n        <iframe loading=\"lazy\" title=\"Giuseppe De Giacomo \u2013 AI Foundations for Data-Aware Business Processes\" width=\"500\" height=\"375\" src=\"https:\/\/www.youtube.com\/embed\/6jfEOUFQZIs?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen title=\"Embedded Video\"><\/iframe>    <\/div>\n\n    \n<\/div><\/figure>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<h2 class=\"wp-block-heading\">Demetri Terzopoulos &#8211; &#8220;The Computer Simulation of People: From Biomechanics to Intelligence&#8221;<\/h2>\n\n\n\n<p><\/p>\n\n\n\n<p><strong>Speaker:&nbsp;<\/strong>Demetri Terzopoulos<br><strong>Institution:&nbsp;<\/strong>University of California<br><strong>Date:&nbsp;<\/strong>January 10, 2017<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\"><div class=\"wp-block-image\">\n<figure class=\"aligncenter size-medium\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"169\" src=\"https:\/\/lassonde.yorku.ca\/ical\/wp-content\/uploads\/sites\/14\/2024\/12\/maxresdefault-300x169.jpg\" alt=\"\" class=\"wp-image-110262\" style=\"aspect-ratio:3\/2;object-fit:contain\" srcset=\"https:\/\/lassonde.yorku.ca\/ical\/wp-content\/uploads\/sites\/14\/2024\/12\/maxresdefault-300x169.jpg 300w, https:\/\/lassonde.yorku.ca\/ical\/wp-content\/uploads\/sites\/14\/2024\/12\/maxresdefault-1024x576.jpg 1024w, https:\/\/lassonde.yorku.ca\/ical\/wp-content\/uploads\/sites\/14\/2024\/12\/maxresdefault-768x432.jpg 768w, https:\/\/lassonde.yorku.ca\/ical\/wp-content\/uploads\/sites\/14\/2024\/12\/maxresdefault-1200x675.jpg 1200w, https:\/\/lassonde.yorku.ca\/ical\/wp-content\/uploads\/sites\/14\/2024\/12\/maxresdefault-600x338.jpg 600w, https:\/\/lassonde.yorku.ca\/ical\/wp-content\/uploads\/sites\/14\/2024\/12\/maxresdefault.jpg 1280w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/figure>\n<\/div><\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<h2 class=\"wp-block-heading\">Model Based Vision for Robot Applications<\/h2>\n\n\n\n<p><\/p>\n\n\n\n<p><strong>Speaker:\u00a0<\/strong>Henrik I Christensen<br><strong>Institution:\u00a0<\/strong>Georgia Institute of Technology<br><strong>Date:\u00a0<\/strong>April 8, 2016<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n\n    <div class=\"responsive-embed widescreen\">\n        <iframe loading=\"lazy\" title=\"Henrik I. Christensen - Model Based Vision for Robot Applications\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/K1anfONeFQU?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen title=\"Embedded Video\"><\/iframe>    <\/div>\n\n    \n<\/div><\/figure>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<h2 class=\"wp-block-heading\">Simulating a Functional Populace: From Steps to Stories<\/h2>\n\n\n\n<p><strong>Speaker:\u00a0<\/strong>Norman Badler<br><strong>Institution:\u00a0<\/strong>University of Pennsylvania<br><strong>Date:\u00a0<\/strong>March 18, 2016<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n\n    <div class=\"responsive-embed widescreen\">\n        <iframe loading=\"lazy\" title=\"Norman Badler - Simulating a Functional Populace: From Steps to Stories\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/VXesU3rDB9o?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen title=\"Embedded Video\"><\/iframe>    <\/div>\n\n    \n<\/div><\/figure>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<h2 class=\"wp-block-heading\">Mining Large Graphs: Patterns, Anomalies, and Fraud Detection<\/h2>\n\n\n\n<p><strong>Speaker:\u00a0<\/strong>Christos Faloutsos<br><strong>Institution:\u00a0<\/strong>Carnegie Mellon University<br><strong>Date:\u00a0<\/strong>February 5, 2016<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-4-3 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n\n    <div class=\"responsive-embed widescreen\">\n        <iframe loading=\"lazy\" title=\"Christos Faloutsos - &quot;Mining Large Graphs: Patterns, Anomalies, and Fraud Detection&quot;\" width=\"500\" height=\"375\" src=\"https:\/\/www.youtube.com\/embed\/UyjhxEKjceA?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen title=\"Embedded Video\"><\/iframe>    <\/div>\n\n    \n<\/div><\/figure>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<h2 class=\"wp-block-heading\">Realizing the Vision of Symbiotic Cognitive Computing Video<\/h2>\n\n\n\n<p><strong>Speaker:\u00a0<\/strong>Jeff Kephart<br><strong>Institution:\u00a0<\/strong>IBM Thomas J. Watson Research Center<br><strong>Date:\u00a0<\/strong>January 22, 2016<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n\n    <div class=\"responsive-embed widescreen\">\n        <iframe loading=\"lazy\" title=\"Jeff Kephart - Realizing the Vision of Symbiotic Cognitive Computing\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/oxyK19LTMb4?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen title=\"Embedded Video\"><\/iframe>    <\/div>\n\n    \n<\/div><\/figure>\n<\/div>\n<\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<h2 class=\"wp-block-heading\">Has object vision been solved?<\/h2>\n\n\n\n<p><strong>Speaker:\u00a0<\/strong>Simon Thorpe<br><strong>Institution:\u00a0<\/strong>Universit\u00e9 de Toulouse<br><strong>Date:\u00a0<\/strong>November 11, 2015<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-4-3 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n\n    <div class=\"responsive-embed widescreen\">\n        <iframe loading=\"lazy\" title=\"Has object vision been solved? \u2013 Seminar by Simon Thorpe\" width=\"500\" height=\"375\" src=\"https:\/\/www.youtube.com\/embed\/jKM3S5tMMYo?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen title=\"Embedded Video\"><\/iframe>    <\/div>\n\n    \n<\/div><\/figure>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Note:&nbsp;All videos created with the consent of the presenters. These are provided for personal research and study use only and may not be re-broadcast or copied or transmitted for any other purpose without written permission of the presenter and the Director of IC@L. Upcoming Seminars Stay tuned for announcements! Past Seminars Machine Learning for Emotion&#8230;<\/p>\n","protected":false},"author":59,"featured_media":72,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[],"tags":[],"class_list":["post-68","page","type-page","status-publish","has-post-thumbnail","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Distinguished Speaker Series - Centre for Innovation in Computing at Lassonde<\/title>\n<meta name=\"description\" content=\"IC@L Sponsored Lectures at York University.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/lassonde.yorku.ca\/ical\/video-library\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Distinguished Speaker Series - 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