Talks
and Tutorials Offered by Byoung-Tak Zhang
International
- Social Implications of
Artificial IntelligenceSocial Implications of Artificial
IntelligenceSocial Implications of Artificial IntelligenceNext AI: Sentient Cognitive Machines with
Universal Learning, ICT Sustech Day, Novermber 30, 2021
- Embodied Learning: Making AI Truly Autonomous
and Self-improving, IMCOM 2021, January 4, 2021
- SNU AI Institute (AIIS) and Perspectives on
Possible Collaboration with European Institutions, University Ca'
Foscari, January 24, 2020
- Cognitive AI, 2019 Nanjing Forum, November
23, 2019
- Empowering Cognitive AI Robots with Deep
Learning, CJK Forum at CNCC 2019, October 18, 2019
- Cognitive AI – AI as
Perception-Action-Cognition Systems, PRICAI 2019, August 30, 2019
- Artificial Intelligence for Digital Science,
International Symposium on “Digital Science Now”, June 7, 2019
- Machine Understanding of Video Stories, 2019 Japan-Korea Symposium
on Video Intelligence, May 17, 2019
- Self-reflective Learning, SAINT Workshop on Self-aware and
Autonomous Systems, May 8, 2019
- Video Turing Test: A
Challenge for Human-Level AI, AIRC International Symposium, February 22,
2019
- Real-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
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