Compute Trends Across Three Eras of Machine Learning

Compute, data, and algorithmic advances are the three fundamental factors
that guide the progress of modern Machine Learning (ML). In this paper we study
trends in the most readily quantified factor – compute. We show that before
2010 training compute gre… Read more


Causality for Machine Learning

Graphical causal inference as pioneered by Judea Pearl arose from research on artificial intelligence (AI), and for a long time had little connection to the field of machine learning. This article discusses where links have been and should be establishe... (more…)

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