Shaping Futures
e-magazine of The Michael Dukakis Institute
Generalizing Experimental Results by Leveraging Knowledge of Mechanisms
Professor Judea Pearl, Chancellor’s Professor, UCLA, World Leader in AIWS Award recipient, and Mentor of AIWS.net, have just publish the paper “Generalizing Experimental Results by Leveraging Knowledge of Mechanisms”: “We […]
Causal Relational Learning paper
Professor Judea Pearl, Chancellor’s Professor of UCLA, father of Bayesian Networks, Cause and...
A different look at anti-coronavirus “death toll”
The West - sacrifices at the forefront of mankind The numbers of post-Wuhan casualties in the...
An AI Pioneer Wants His Algorithms to Understand the “Why”
Deep learning is good at finding patterns in reams of data, but can't explain how they're...
A.I. Versus the Coronavirus
A new consortium of top scientists will be able to use some of the world’s most advanced...
Review: ‘The Book of Why’ Examines the Science of Cause and Effect
Everyone knows that the cock’s crowing at dawn does not “cause” the sun to rise. Conversely,...
“Doing machine learning the right way”
Professor Aleksander Madry, MIT, strives to build machine-learning models that are more reliable,...
Neural hardware for image recognition in nanoseconds
MIT Techreview briefs about an ultra-fast image sensor with a built-in neural network that has been...
The problem with the EU’s AI strategy
Last week, the European Union issued its long-anticipated white paper on artificial intelligence....