The master algorithm: how the quest for the ultimate learning machine will remake our world

By Waldo Hasperué. 2015

531 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Large Language Models

Citations in the corpus

When Will AI Exceed Human Performance? Evidence from AI Experts (2017, background): “Building Machines That Learn and Think Like People 33 6.6 Fold Laundry Fold laundry as well and as fast as the median human clothing store employee.”
Rule Extraction Algorithm for Deep Neural Networks: A Review (2016, background): “Nevertheless, neural networks have a significant number of connections, whereas computers have few [2].”
Automation, Algorithms, and Beyond: Why Work Design Matters More Than Ever in a Digital World (2020, background): “As noted by Domingos (2015) in the book “The Master Algorithm”, “people worry that computers will get too”
Ethics of artificial intelligence and robotics (2020, background): “(Domingos 2015) – in other words, they say we need an ethics for the ‘small’ problems that occur with actual AI & robotics (sections 2 and 3 above), less for the ‘big ethics’ of existential risk from AI.”
An Investigation of Visibility and Flexibility as Complements to Supply Chain Analytics: An Organizational Information Processing Theory Perspective (2018, background): “Visualization, simulation, machine learning, and other related analytics technologies are rapidly gaining in both capability and acceptance across business contexts (Domingos 2015).”
Artificial Intelligence and Entrepreneurship: Implications for Venture Creation in the Fourth Industrial Revolution (2020, background): “For example, Domingos (2015) identifies sym - bolist, connectionist, evolutionary, Bayesian and analogist traditions that each adopt distinct algorithmic approaches to prediction tasks.”