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  1. 3 days ago · 2022. pdf bib abs. CTL ++: Evaluating Generalization on Never-Seen Compositional Patterns of Known Functions, and Compatibility of Neural Representations. Róbert Csordás | Kazuki Irie | Juergen Schmidhuber. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing.

  2. This keynote talk had its premiere on 3 Dec 2020 at the AIJ conference in Moscow (where it was translated into Russian). It was also presented at NVIDIA's GT...

    • 47 min
    • 16.8K
    • Juergen Schmidhuber
  3. Mar 3, 2020 · Introduced by Juergen Schmidhuber and his doctoral student Sepp Hochreiter, these networks would become one of the most profitable applications in the history of deep learning. However, the mastermind behind innovations such as LSTMs, Dr.Schmidhuber largely remains unknown outside the research circles unlike his contemporaries such as Yann ...

  4. 06_03_2021. At the age of 15, German-born computer scientist Jürgen Schmidhuber (1963) had already set out his life ambition: build a self-improving artificial intelligence smarter than himself and retire. Although he hasn’t yet achieved this, he has driven huge advances in AI and deep learning along the way.

  5. Prof. Jürgen Schmidhuber has been called the father of modern Artificial Intelligence. His lab's deep learning methods have revolutionized machine learning and are now available on 3 billion smartphones, and used billions of times per day, e.g. for Facebook's automatic translation, Google's speech recognition, Apple's Siri & QuickType, Amazon's Alexa, etc.

  6. May 12, 2023 · For Jürgen Schmidhuber, a recognized pioneer in AI, artificial intelligence is much more than another technological revolution. He sees it as the opportunity to transcend humanity and biology. In ...

  7. Professor Jürgen Schmidhuber Since age 15 or so, Prof. Jürgen Schmidhuber’s main goal 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.