BUILDING AN INTELLIGENT MACHINE - DR PEI WANG PHD -PROF COMP & INFO SCIENCE AT TEMPLE UNIVERSITY

#artificialintelligence #artificialgeneralintelligence #agi #intelligentmachine #turingmachine #narrowai #generalai #superai Dr Pei Wang, Ph.D. is an Associate Professor of Computer and Information Sciences at Temple University and is the Chief Executive Editor of the Journal of Artificial General Intelligence (JAGI).   His research interests include artificial intelligence and cognitive science, especially on unified theories of intelligence, formal models of rationality, reasoning under uncertainty, learning and adaptation, knowledge representation, and real-time decision making.   Pei authored Formalization of Evidence: A Comparative Study. Non-Axiomatic Logic (NAL) Specification, Cognitive Logic versus Mathematical Logic, The Logic of Intelligence, Recommendation Based on Personal Preference, Toward a Unified Artificial Intelligence, What Do You Mean by “AI”?, Editorial: What Makes JAGI Special, The Limitation of Bayesianism, Wason’s Cards: What is Wrong?, Case-by-Case Problem Solving, From NARS to a Thinking Machine, and Artificial General Intelligence and Classical Neural Network.   Pei earned his B.S. in Computer Science at Peking University in 1983, his M.S. in Computer Science at Peking University in 1986, and his Ph.D. in Computer Science & Cognitive Science at Indiana University in 1995.  https://cis.temple.edu/~pwang/ https://www.linkedin.com/in/pei-wang-3a46241/ https://lifeboat.com/ex/bios.pei.wang  Prelude -0:00 to 0:46 Intro - 0:47 to 1:19 Can you define what’s AI, AGI & ASI - 1:20 to 7:42 What is the current progress of narrow intelligence that excites you the most - 7:43 to 15:40 What architecture/framework would be the path ahead for building Artificial General Intelligence-  15:41 to 22:32 Who amongst your peers are on the right path towards building an Intelligent machine - 22:33 to 24:50 Is there a curriculum/course for Artificial General Intelligence - 24:51 to 25:44 will understanding our brains lead to AGI - 25:45 to 28:14 Would robotic embodiment, understanding consciousness play a role in building an intelligent machine - 28:15 to 29:50 will we require something more than a classical computer to build AGI- Neuromorphic or Quantum computing  - 29:51 to 30:41 Will AGI be an existential risk - 30:42 to 32:40 When will we have AGI & How would it transform our society-  32:41 to 35:05 What excites you the most about AGI- 35:06 to 36:36 Outro - 36:37 to 38:03