Artificial intelligence · 1985
Bayesian networks
Pearl gives machines a principled way to reason under uncertainty.
Judea Pearl formalised Bayesian networks, graphs of variables with conditional probabilities that support efficient inference. They replaced ad hoc certainty factors and powered spam filters, diagnosis tools and robot localisation. Pearl won the 2011 Turing Award.
What it built on 2
What it led to 2
Related measurements
The dashed line marks when it first worked.
Training compute of notable AI models Source: Epoch AI, Notable AI Models (CC BY 4.0)
Computation per constant dollar, 1850-2006 Latest: 7.3B million units of computer power per 2006 $ (2003) Source: Nordhaus 2007, Two Centuries of Productivity Growth in Computing, J. Econ. Hist. 67(1), Table 6