Yahoo Search Busca da Web

Resultado da Busca

  1. Jürgen Schmidhuber is a leading expert in artificial intelligence, deep learning, universal AI, and artificial creativity. He is the scientific director of IDSIA, a research director at KAUST, and a professor at USI and SUPSI. He has published many papers and books on these topics, and created Pybrain, a popular machine learning library.

  2. Jürgen Schmidhuber (born 17 January 1963) is a German computer scientist noted for his work in the field of artificial intelligence, specifically artificial neural networks. He is a scientific director of the Dalle Molle Institute for Artificial Intelligence Research in Switzerland.

  3. Juergen Schmidhuber. King Abdullah University of Science and Technology / The Swiss AI Lab, IDSIA / University of Lugano. Verified email at kaust.edu.sa - Homepage. computer science artificial...

  4. Jürgen Schmidhuber ist ein renommierter Informatiker, der seit 1987 verschiedene Problemlösers für universelle Künstliche Intelligenz (KI) entwickelt hat, vor allem für Rekurrente neuronale Netzwerke (RNN) und die Gödelmaschine. Er ist auch ein Pionier von deep learning, der Gödel-Maschine, der algorithmischen Theorien und der künstlichen Lernalgorithmen.

  5. Jürgen Schmidhuber (* 17. Januar 1963 in München) ist ein Informatiker. Er arbeitet vor allem im Bereich Künstliche Intelligenz (KI) und deren Spezialgebiet der neuronalen Netzwerke . Seit 1995 ist er wissenschaftlicher Direktor bei IDSIA, einem Schweizer Forschungsinstitut für KI. [1]

  6. Jürgen Schmidhuber is a renowned computer scientist and AI pioneer who leads the Artificial Intelligence Initiative at King Abdullah University of Science and Technology (KAUST). He is known for his work on deep learning, neural networks, artificial curiosity, and meta-learning machines.

  7. 30 de abr. de 2014 · Juergen Schmidhuber. In recent years, deep artificial neural networks (including recurrent ones) have won numerous contests in pattern recognition and machine learning. This historical survey compactly summarises relevant work, much of it from the previous millennium.