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Dr. Pei Wang

Pei Wang is an Associate Professor at Temple University. He received his Ph.D. in Computer Science and Cognitive Science from Indiana University at Bloomington, and his M.S. and B.S. in Computer Science, both from Peking University. His research interests include artificial intelligence and cognitive science, especially on general theory of intelligence, formal models of rationality, reasoning under uncertainty, learning and adaptation, knowledge representation, and real-time decision making. He is the Chief Executive Editor of the Journal of Artificial General Intelligence. He is the designer of the AGI model NARS (Non-Axiomatic Reasoning System).
  • In 1991 you moved to USA for PhD (Indiana University) from China (Beijing) - how was that?
  • You worked in AGI startup prior to DeepMind? What was it about? What were lessons learned?
  • PhD under supervision of Prof. Douglas Hofstadter (book: Gödel, Escher, Bach), How was it to work with him? "he liked some of my ideas", what did he like, what did he not like?
  • Concept: "level of description" - can you explain?
  • NARS - Non-Axiomatic Reasoning system - can you explain? (very short for non-technical audience), What is “Intelligence” for you (in AGI concept)?
  • Where are you with your research work today? In 2017 you said: "Far from finished, but we have obtained some interesting results!” what are those today?
  • "AGI is complicated because it is both scientific research + engineering". What is the "engineering" part?
  • AGI application domains: can you give us examples of typical application areas?
  • Where in the industrial space do you see AGI applications?
  • AGI community - how BIG, how does it develop? AI in China vs US vs Europe (Kai-Fu Lee, Al Superpowers) what you observe in these three regions in terms of AGI and then in general for AI research and also in the adoption in the real world? Is Europe losing out?
  • Elon Mask is scared of too strong AI in the hands of the wrong people. Do you share this or how do you see his statements? What do you recommend if you share it we do?
  • Price: Free
  • Language: English
  • Who can attend? Anyone with the event link can attend
  • Dial-in available? (listen only): Not available.