Genetic Programming in an Inspired, Disappointing and Perplexing Era in Artificial Intelligence

Current work in AI can be described as inspirational, highlighted by the recent Nobel prizes awarded in chemistry and physics. However, many researchers also share a feeling of disappointment and confusion regarding the state of AI. The former is often due to issues related to ethics, governance, privacy, climate change and trustworthiness, while the latter is often caused by the inability of some of the most powerful AI systems to solve logical and arithmetic tasks that are simple for a human to solve. Moreover, with headline-grabbing AI research predominantly moving to industry, researchers in academia are often left feeling "depressed", as pointed out by Togelius and Yannakakis in a recent position paper published in IEEE. This talk will discuss some of these issues from the perspective of the recent 30th anniversary of the foundational book on Genetic Programming by J. Koza and the commemorative Peer Commentary published in the journal Genetic Programming and Evolvable Machines. Moreover, the talk presents some of the main work and results on Genetic Programming that is being carried out by students and researchers at the Instituto Tecnológico de Tijuana, in Tijuana Mexico, in this inspired, disappointing and perplexing era in AI.

Bio:
Leonardo Trujillo received a doctorate in computer science from the CICESE Research Center in Mexico in 2008. He is currently a Professor at the Tecnológico Nacional de México/Instituto Tecnológico de Tijuana, in Tijuana, Mexico, part of the Electric and Electronic Engineering Department and the Graduate Program on Engineering Sciences. His work focuses on genetic programming and machine learning, working on the development of new learning methods and applications in a variety of problem domains. He has been the PI of several national and international research grants, receiving several distinctions from the Mexican Science Council (CONAHCYT). He has authored and co-authored over 150 publications, organized several scientific conferences and workshops, such as Genetic Theory and Practice (GPTP) and the Numerical and Evolutionary (NEO) Workshop, he is currently Editor-in-Chief of the Genetic Programming and Evolvable Machines journal published by Springer and will be the General Chair of the Genetic and Evolutionary Computation Conference organized by the ACM, which will be held in Costa Rica in 2026.

ATENCION. Todos los seminarios se graban y están a tu disposición en el Canal de YouTube del Departamento, consúltalos: AQUI

https://www.youtube.com/channel/UCwZp9bGRHC1FT5lof7kuLJg/playlists

Lugar: Auditorio Depto. Ciencias de la Computación y en línea https://zoom.us/j/99257209466?pwd=ekZGJaNONuDlw0lLBKS0apMSa6vAzj.1

Fecha: 31-01-2025

Hora: 12:00 pm