Home
Archaeology
Astronomy
Biology
Books
Business
Chemistry
Coins
Computers
Conservation
Cooking
Earth Science
Farming
Economics
Finance
Games
Geography
Health Science
History by Date
Hobbies
Law
Mathematics
Medicine
Military Technology
Movies
Music
People
Pharmacology
Philosophy
Physics
Psychology
Religion
Science History
Technology
Sports
Television
Video
Visual Art
Privacy
Contact Us



Juergen Schmidhuber

Juergen Schmidhuber (born 1963 in Munich) is a computer scientist and artist known for his work on machine learning, universal Artificial Intelligence (AI), artificial recurrent neural networks, computable universes and digital physics, and low-complexity art. His contributions also include generalizations of Kolmogorov complexity and the Speed Prior. He is co-director of the Swiss AI lab IDSIA.

His most ambitious contribution so far may be the Goedel machine (2003), a general problem solver which solves arbitrary computational problems in an optimal fashion inspired by Kurt Gödel's celebrated self-referential formulas (1931).

Schmidhuber writes that since age 15 or so his main scientific ambition has been to build an optimal scientist, then retire. First he wants to build a scientist better than himself (he says his colleagues claim that should be easy) who will then do the remaining work. He claims he "cannot see any more efficient way of using and multiplying the little creativity he's got".

External links:


Copyright 2004. All rights reserved.