AIWS University

Judea Pearl Wins 2021 BBVA Frontiers of Knowledge Award

Judea Pearl is the recipient of the fourteenth edition of the ICT Frontiers of Knowledge Award from the Spanish bank group BBVA for “providing a modern foundation to Artificial Intelligence”. The award includes a prize of €400,000 (about...

A Guide to Inferencing With Bayesian Network in Python

Bayesian networks can model nonlinear, multimodal interactions using noisy, inconsistent data. It has become a prominent tool in many domains despite the fact that recognizing the structure of these networks from data is already common. For...

Ruth Pearl, wife of professor Judea Pearl, passed away at 85

Ruth Pearl, the mother of slain Wall Street Journal reporter Daniel Pearl who turned the profound and lasting agony of losing a son into a life of activism, outreach and bridging cultural divides, has died at her home in Los Angeles. Pearl, who died July...

The Causal Revolution as the Summit of Scientific-Technological-Industrial Revolutions

Judea Pearl is the author of The Book of Why: The New Science of Cause and Effect lead Causal Revolution. He is also the recipient of the 2020 World Leader in AI World Society and leads the section Modern Causal Inference of AIWS.net.   It is common...

Can Bayesian Networks provide answers when Machine Learning comes up short? It’s a question of probabilities

Machine Learning gets all the marketing hype, but are we overlooking Bayesian Networks? Here’s a deeper look at why “Bayes Nets” are underrated – especially when it comes to addressing probability and causality. In commercial...

Why machine learning struggles with causality

When you look at the following short video sequence, you can make inferences about causal relations between different elements. For instance, you can see the bat and the baseball player’s arm moving in unison, but you also know that it is the player’s...

Lecture of Professor Judea Pearl “What is Causal Inference”

Radical Empiricism and Machine Learning Research

Judea Pearl – University of California, Los Angeles Computer Science Department Abstract I contrast the “data fitting” vs. “data interpreting” approaches to data-science along three dimensions: Expediency, Transparency and Explainability.“Data...

Judea Pearl and UCLA join Toyota Research Institute’s AI program

UCLA Newsroom | January 26, 2021 Judea Pearl, Chancellor’s Professor of Computer Science at the UCLA Samueli School of Engineering, has been selected to join the Toyota Research Institute’s program on artificial intelligence. With more than $750,000...