Prof. Jürgen Schmidhuber | AI Pioneer, On The Beneficial & Sinister Applications Of The Technology | Richie Allen Show | May 10, 2017

Source:, Jürgen Schmidhubers website

Since age 15 or so, the main goal of professor Jürgen Schmidhuber has been to build a self-improving Artificial Intelligence (AI) smarter than himself, then retire. He has pioneered self-improving general problem solvers since 1987, and Deep Learning Neural Networks (NNs) since 1991. The recurrent NNs developed by his research group were the first to win official international contests.

They have revolutionized handwriting recognition, speech recognition, machine translation, image captioning, Deep Learning since 1991 - Winning Contests in Pattern Recognition and Sequence Learning Through Fast & Deep / Recurrent Neural Networks and other fields, and are now available to billions of users through Google, Apple, Microsoft, IBM, Baidu, and many other companies.

DeepMind is heavily influenced by his lab's former students (including 2 of DeepMind's first 4 members and their first PhDs in AI). His team's Deep Learners were the first to win object detection and image segmentation contests, and achieved the world's first superhuman visual classification results, winning nine international competitions in machine learning & pattern recognition (more than any other team).

They also were the first to learn control policies directly from high-dimensional sensory input using reinforcement learning. His research group also established the field of mathematically rigorous universal AI and optimal universal problem solvers. His formal theory of creativity & curiosity & fun explains art, science, music, and humor. He also generalized algorithmic information theory and the many-worlds theory of physics, and introduced the concept of Low-Complexity Art, the information age's extreme form of minimal art.

Since 2009 he has been member of the European Academy of Sciences and Arts. He has published 333 peer-reviewed papers, earned seven best paper/best video awards, the 2013 Helmholtz Award of the International Neural Networks Society, and the 2016 IEEE Neural Networks Pioneer Award. Progress is accelerating - are 40,000 years of human-dominated history about to converge within the next few decades?
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