Talks and Tutorials Offered by Byoung-Tak Zhang

International

Human-Level Artificial Intelligence, AIRC Workshop, February 15, 2018
Teaching Robots to See, Hear, Talk & Act Like Humans Using Videos, Artificial Intelligence Research Center (AIRC), AIST, February 13, 2018
Teaching Robots to See, Hear, Talk & Act Like Humans Using Videos, Paris, SoftBank Europe, January 29, 2018
Teaching Robots to See, Hear, Talk & Act Like Humans Using Videos, Institute for Artificial Intelligence (IAI), University of Bremen, January 23, 2018
Video Turing Test: A Challenge for Human-Level AI, Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS) of Bonn, January 22, 2018
Cognitive AI: Beyond Symbolism and Connectionism Toward Human-Level Intelligence, Max Planck Haus, Tuebingen, January 19, 2018
Conversational AI for Personal Robots, University of Electronic Science and Technology of China, May 12, 2017
Internet of Cognitive Things, KGLOBAL 2016, November 2, 2016
Cloning Humans to Build Personal AI Robots, AIST, Tokyo, February 25, 2016
Neurocognitive models of episodic memory for personal robots, 15th China-Japan-Korea Joint Workshop on Neurobiology and Neuroinformatics, December 20, 2015
Autonomous AI Robots and Their Impacts on Future Society, SIAI- Seoul, November 7, 2015
Mind Cloning: Automatic Programming of Robots by Unsupervised Reconstructive Learning of Human Behaviors, AI Institute at the University of Bremen, August 20, 2015
Learning through experimentation: The missing ingredient for human-level artificial intelligence, COGSCI 2015 Workshop, July 22, 2015
Reverse Engineering the Embodied Mind by Human Robotics, ASIC 2015, July 14, 2015
Deep Learning for the Web, Tutorital #2, 24th International World Wide Web Conference(www 2015), May 18, 2015
Lifelong Learning from Videos and Wearable Sensors, University of Memphis CS Colloquium, February 20, 2015
Reverse Engineering the Mind by Human Robotics, Department of Psychology Cognitive Seminar Series, The Ohio State University, February 10, 2015
Human-Like Lifelong Machine Learning, SCIS&ISIS2014 Plenary Talk, December 5, 2014
Ontogenesis of Agency in Machines, AAAI 2014 Fall Symposium on The Nature of Humans and Machines: A Multidisciplinary Discourse, Arlington, VA, November 13, 2014
Bio-Inspired Human Level Machine Learning, AFOSR Program Review on Mathematical and Computation Cognition, Computational and Machine Intelligence, and Robust Decision Making in Human-System Interface, Arlington, VA, November 3-6, 2014
Human Robotics: Modeling Human Cognition via Wearable Robotics, Asia Pacific Conference on Cognitive Behavioral Science, October 14, 2014
Brain in a Test Tube: Molecular Computing of Neural Networks, MIT Dept. of Brain and Cognitive Sciences, January 22, 2013
Molecular Neural Networks, Columbia University Medical Center, January 25, 2013
Bio-Inspired Human Level Machine Learning, AFOSR CDCI Program Meeting, Ronald Regan Building, Washington, DC, February 1, 2013
DietAdvisor: A Personalized eHealth Agent in a Mobile Computing Environment, MSRA Beijing,China, April 6, 2012
Learning visually-grounded linguistic concepts from a sequence of videos, TUM, Germany, February 20, 2012.
Learning at a Subsecond Timescale: Dynamic Coordination of Assembly Codes in Sequential Pattern Generation, Institute of Cognitive Science, Univ. of Osnabrueck (Prof. P. Koenig) July 15, 2011
Imagination Machines: From Cognitive Neuroscience to Human-Level Synthetic Intelligence, Cognitive Interaction Technology Excellence Center (CITEC) and Collaborative Research Center for Alignment in Communication (SFB 673), Bielefeld University, Germany, April 28, 2011
Higher-Order Markov Models for Learning Sequential Recall Memory, The Second German-Korean Workshop on Machine Learning in Life Sciences: Computational Neuroscience, Berlin, February 1-5, 2010.
Learning with DNA Molecules, Columbia University, January 15, 2010.
Hypernetworks: A Bioinspired Probabilistic Graphical Model for Cognitive Machine Learning, University of Bielefeld, December 18, 2009.
Self-Assemblying Hypernetworks for Cognitive Learning of Linguistic Memory, Int. Conf. on Computer, Electrical, and Systems Science, and Engineering, CESSE-2008, Cairo, Egypt, February 6-8, 2008.
Self-Organizing Random Hypergraphs for Cognitive Learning, Korean-Russian Workshop, Moscow State University, December 18-19, 2007.
Learning with Hypernetworks, The First German-Korean Workshop on Machine Learning in Life Sciences, Seoul National University, August 29-30, 2007.
Molecular Evolutionary Computation in vitro and in silico, The 13th International Meeting on DNA Computing, Memphis, Tennessee, June 4-8, 2007.
Random Hypergraph Models of Learning and Memory in Biomolecular Networks: Shorter-Term Adaptation vs. Longer-Term Persistency, First IEEE Symposium on Foundations of Computational Intelligence (FOCI-2007), Honolulu, HI, April 2, 2007.
Discovery of Higher-Order Interaction Patterns from High-Dimensional Data, Moscow State University, Faculty of Computational Mathematics and Cybernetics, Moscow, Russia, February 22, 2007.
Probabilistic DNA Computing: A DNA-Based Evolutionary Computing Model for Machine Learning, 10th Asia-Pacific Workshop on Intelligent and Evolutionary Systems (IES2006), Seoul National University, Seoul, Korea, November 25, 2006.
Molecular Evolutionary Learning of DNA-Based Kernel Machines, Bio-Inspired Computing, Wuhan, China, September 21, 2006.
Biologically Inspired Computing: Models Technologies, and Applications, National Cancer Institute of Korea, July 4, 2006.
Learning with Hypergraphs in Molecular Computing, Berlin Univ. of Technology, Germany, February 14, 2006.
Probabilistic Molecular Computing with Evolutionary Self-assembly of DNA Networks, Center for NanoScience (CeNS), Univ. of Munich, Germany, January, 24, 2006.
Probabilistic Learning and Inference with DNA Molecules, The Second International Conference on Biocomputers 2005 (Biocomputers 2005), September 29, 2005.
In Vitro Molecular Evolution, Tutorial at Genetic and Evolutionary Computation Conference (GECCO-2005), Washington, D.C., June 26, 2005.
Directed Molecular Evolution of Pattern Classifiers, MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), February 4, 2004.
The Role of Biomolecular Computation in the Study of Evolution in Nature and Engineered Systems, Princeton University, Dept. of Ecology and Evolutionary Biology & Dept. of Electrical Engineering, October 17, 2003.
Evolutionary Dynamics in Biomolecular Reaction Networks, MIT Dept. of Brain and Cognitive Science, October 7, 2003.
DNA Code Design for Biochips and Molecular Computing, MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), October 1, 2003.
Self-Organizing Latent Lattice Models for Temporal Gene Express Profiling, Harvard Medical School Children's Hospital Library, Boston, February 14, 2003.
Probabilistic Graphical Models for DNA Chip Data Mining, Technical University of Berlin, Feburary 12, 2002.
Molecular Evolutionary Computation with DNA, Informatik Centrum Dortmund, Dortmund University, January 26, 2002.
Bayesian Evolutionary Computation with Biomolecules, German National Research Center for Information Technology (GMD), Bonn, Germany, January 28, 2002.
Evolutionary Computation with Biomolecules, Center of Advanced European Studies and Research (CAESAR), January 28, 2002.
Genetic Programming (PDF file), SEAL-98 tutorial, Canberra, Australia, November 24, 1998.
Molecular Programming: Molecular Algorithms for Efficient and Reliable DNA Computing, Plenary talk at GP-98, Madison, Wisconsin, July 1998.
Program Complexity Control in Genetic Programming, GP-97 tutorial, Stanford, CA, July 1997.

This page is maintained by Yumi Yi (ymyi@bi.snu.ac.kr).
Last update: July 26, 2017