The Oxford Dictionary defines Artificial Intelligence (AI) as the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.
AI has aroused widespread interest in the public and private sectors, due to the various technological developments and impacts it has had and continues to have on society. In addition, it is booming from the scientific point of view because of all the disciplines, areas, and techniques that are applied.
The National Colloquium in Artificial Intelligence seeks to bring together specialists in the areas that make up AI to give lectures on topics of their specialty. The guests are contacted by the organizing committee. The talks are scheduled for 50 minutes and are mainly addressed to researchers and graduate students.
This Colloquium is broadcast once a month, usually on Wednesdays at 12:00 pm on the YouTube links of the organizing institutions.
November 25th, 2020
Tractable Reasoning and Learning with Arithmetic and Boolean Circuits
Tractable circuits have been playing an increasingly important role in AI and beyond, particularly in the areas of symbolic and probabilistic reasoning. This includes (1) providing a systematic approach for tackling problems beyond NP, (2) allowing one to learn from certain combinations of knowledge and data, and (3) reasoning about the behavior of some machine learning systems. In this talk, I will review the theoretical foundations and some applications of tractable circuits, both Boolean and Arithmetic.
Adnan Darwiche, Ph.D.
Professor and former chairman of the computer science department at UCLA
Adnan Darwiche is a professor and former chairman of the computer science department at UCLA. He directs the Automated Reasoning Group, which focuses on symbolic reasoning, probabilistic reasoning, and machine learning. Professor Darwiche is Fellow of AAAI and ACM. He is a former editor-in-chief of the Journal of Artificial Intelligence Research (JAIR) and author of "Modeling and Reasoning with Bayesian Networks," by Cambridge University Press.
Enrique Sucar Ph.D. - President of AMEXCOMP
Wednesday November 25th - 12:00 hours (Central Time)