Prof. Juyang (John) Weng, IEEE Life Fellow, Brain-Mind Institute and GENISAMA, USA
Bio: Prof. Juyang Weng received a BS degree from Fudan University, in 1982, M. Sc. and PhD degrees from the University of Illinois at Urbana-Champaign, in 1985 and 1989, respectively, all in computer science. He is a former faculty member of the Department of Computer Science and Engineering, faculty member of the Cognitive Science Program, and faculty member of the Neuroscience Program at Michigan State University, East Lansing. He was a visiting professor at the Computer Science School of Fudan University, Nov. 2003 - March 2014, and did sabbatical research at MIT, at Media Lab Fall 1999 – Spring 2000; and at the Department of Brain and Cognitive Science Fall 2006-Spring 2007 and taught BCS9.915/EECS6.887 Computational Cognitive and Neural Development during Spring 2007. Since the work of Cresceptron (ICCV 1993) the first deep learning neural network for a 3D world without post-selection misconduct, he expanded his research interests in biologically inspired systems to developmental learning, including perception, cognition, behaviors, motivation, machine thinking, and conscious learning models. He has published over 300 research articles on related subjects, including task muddiness, intelligence metrics, brain-mind architectures, emergent Turing machines, autonomous programming for general purposes (APFGP), Post-Selection flaws in “deep learning”, vision, audition, touch, attention, detection, recognition, autonomous navigation, and natural language understanding. He published with T. S. Huang and N. Ahuja a research monograph titledMotion and Structure from Image Sequences. He authored a book titledNatural and Artificial Intelligence: Computational Introduction to Computational Brain-Mind. Dr. Weng is an Editor-in-Chief of theInternational Journal of Humanoid Robotics, the Editor-in-Chief of theBrain-Mind Magazine, and an associate editor of theIEEE Transactions on Autonomous Mental Development (now Cognitive and Developmental Systems). With others’ support, he initiated the series ofInternational Conferences on Development and Learning (ICDL), theIEEE Transactions on Autonomous Mental Development, the Brain-Mind Institute, and the startup GENISAMA LLC. He was an associate editor of theIEEE Transactions on Pattern Recognition and Machine Intelligence and theIEEE Transactions on Image Processing.
Title of Speech: Post-Selection Misconduct Protocol in Two Nobel Prizes 2024 and a Holistic Solution
Abstract: This talk will first review the history of Nobel Prizes from the natural intelligence point of view, with the role of Albert Einstein’s relativity work in the Nobel Prizes for physics. Indeed, the Nobel Prize committees face great intellectual challenges in modern science. As two examples, the talk analyzes the Nobel Prize for Physics 2024 and the Nobel Prize for Chemistry 2024 which deal with machine learning using a Post-Selection protocol that has flooded the AI and machine learning field. This talk will explain why the Post-Selection is a misconduct protocol for experiments that suffers from three misconducts: (A) cheating in the absence of a test; (B) hiding bad-looking data; and (C) exaggerating the accuracy. Finally, the talk will review how conscious learning will address the local minima problem that Post-Selection faces among the 20 million dollar problems, as well as Developmental Networks as a holistic solution to all the 20 million dollar problems.
Prof. Adrian David Cheok, IEEE Senior Member, Nanjing University of Information Science and Technology, China
BIO: Adrian David Cheok AM FIET FIEAust FRSA is Full Professor at Nanjing University of Information Science and Technology, Director of the Imagineering Institute, Malaysia, Visiting Professor at Raffles University, Malaysia, Visiting Professor at University of Novi Sad-Serbia, on Technical faculty “Mihailo Pupin”, Serbia, Faculty of Ducere Business School, and CEO of Nikola Tesla Technologies Corporation.
In 2024, Professor Adrian David Cheok was honored with induction as a Full Member into Sigma Xi USA, The Scientific Research Honor Society, a recognition that not only signifies his dedication to scientific excellence but also aligns his contributions with those of groundbreaking researchers. Sigma Xi is a beacon of distinction within the global scientific community, boasting over 200 Nobel Laureates among its members, including luminaries such as Albert Einstein. This prestigious society is renowned for its commitment to the advancement of science and engineering and includes among its distinguished members other eminent personalities like Linus Pauling and Guglielmo Marconi, whose pioneering work has indelibly shaped the landscape of modern science and innovation. Professor Cheok’s association with Sigma Xi marks a pinnacle in his career, affirming his commitment to the ethos of rigorous and impactful scientific inquiry.