Time Binding Artificial Intelligence - A Next Step on the Path to AGI

The Northwest AGI Forum is pleased to welcome a presentation by Hugo Latapie (bio follows synopsis)

There is a growing awareness in industry, academia, and even ML/DL aficionados that something more may be needed. Creating ever bigger DL models may not be the path to solve the types of problems humanity needs solved ASAP, such as autonomous X where X = driving, networks, organizations, robots, conservation, food production, etc.

The idea of making systems that are more human-like from an intelligence standpoint sounds great until we reflect a bit on the downsides of human intelligence which are clearly visible all around us.

We'll discuss a formalism that helps us define the positive aspects of human intelligence we would like to carry forward in our future machines and perhaps even ourselves. We will start with a review of Korzybski's engineering definition of man versus other forms of life which can be used to predict aspects of humanity and also understand some of the problems to be avoided in human-like intelligences.

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ABOUT HUGO LATAPIE

Hugo Latapie has over 20 years experience designing and implementing mission critical systems for the defense, medical, and telecommunications industries. His network database work formed the basis for the first semantic network based applications for health care. His focus is hands-on “surgical team” methodology for rapid implementation of high value products incorporating leading-edge technologies. He is experienced in large-scale distributed systems, cryptography, embedded systems, database engine development, compiler design, digital television, machine learning, deep learning, symbolic AI, neurosymbolic systems. He was keynote speaker at the AGI 2019 conference http://agi-conf.org/2019/ and IWSSL (International Workshop on Self Supervised Learning) 2022 for his work on commercial neurosymbolic systems. He has over 70 issued and pending patents. Google Scholar Profile: https://scholar.google.com/citations?user=9Nx0hhAAAAAJ&hl=en LinkedIn page: https://www.linkedin.com/in/hugo-latapie-3160564/

This is an interesting video titled "Applied AGI in the Wild" in which Hugo discusses some of his team's work: Presentation at AGI-20, Hugo Latapie and Ozkan Kilic