Talks and Tutorials Offered by Byoung-Tak Zhang

International

  • Social Implications of Artificial IntelligenceSocial Implications of Artificial IntelligenceSocial Implications of Artificial IntelligenceReal-World AI for Autonomous Robots, Tata TCS, October 9, 2018
  • 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