About Jürgen Schmidhuber Jürgen Schmidhuber Professor, Computer Science artificial intelligence machine learning Events Presented Events Jan 25 - Jan 31, 2026 Thoughts About Machine Learning Jürgen Schmidhuber, Professor, Computer Science Jan 26, 15:30 - 17:30 B9, Lecture Hall 1, R-2322 AI machine learning deep learning A weekly seminar series from January 26 to April 20, 2026, exploring advanced AI concepts beyond the scope of standard deep learning courses. Mar 31 - Apr 6, 2024 Thoughts About Machine Learning - Week 8 Jürgen Schmidhuber, Professor, Computer Science Apr 2, 15:30 - 17:30 B9 H1 R 2322 artificial intelligence machine learning Reinforcement Learning The AI Initiative, Electrical, and Mathematical Sciences and Engineering (CEMSE) Division are delighted to announce the resumption of a series of seminars titled “Thoughts About Machine Learning". The seminars will be delivered in person by Jürgen Schmidhuber, Director of the KAUST AI Initiative, and will run weekly during the spring semester. The program will start with aspects of the theory of computation and delve into many topics not typically covered in a deep learning course. This is a truly unique opportunity to learn from one of the founders in artificial intelligence. Attendance is Mar 10 - Mar 16, 2024 Thoughts About Machine Learning - Week 7 Jürgen Schmidhuber, Professor, Computer Science Mar 12, 15:30 - 17:30 B9 LH1 R2322 machine learning artificial intelligence Reinforcement Learning The seminars will be delivered in person by Jürgen Schmidhuber, Director of the KAUST AI Initiative, and will run weekly during the spring semester. The program will start with aspects of the theory of computation and delve into many topics not typically covered in a deep learning course. This is a truly unique opportunity to learn from one of the founders in artificial intelligence. Mar 13 - Mar 19, 2022 Rising Stars in AI Symposium 2022 at KAUST Jürgen Schmidhuber, Professor, Computer Science Mar 13, 09:00 - Mar 15, 17:00 B4 B5 A0215 artificial intelligence machine learning mathematical optimization Deep Reinforcement Learning Computer Vision Natural Language Processing Rising Stars in AI Symposium 2022 at KAUST The "Rising Stars in AI Symposium" is geared towards young researchers (including PhD students, PostDocs, young faculty) who have recently published promising work at leading venues. There will be dozens of brief in-person presentations about papers recently accepted at major AI conferences such as NeurIPS, CVPR, EMNLP, ACL, ICML, ICLR, etc. All speakers will be encouraged to start with an intro for non-AI experts. To view the complete program and for more event details, please visit the symposium website. Attend the Symposium The symposium will be
Thoughts About Machine Learning Jürgen Schmidhuber, Professor, Computer Science Jan 26, 15:30 - 17:30 B9, Lecture Hall 1, R-2322 AI machine learning deep learning A weekly seminar series from January 26 to April 20, 2026, exploring advanced AI concepts beyond the scope of standard deep learning courses.
Thoughts About Machine Learning - Week 8 Jürgen Schmidhuber, Professor, Computer Science Apr 2, 15:30 - 17:30 B9 H1 R 2322 artificial intelligence machine learning Reinforcement Learning The AI Initiative, Electrical, and Mathematical Sciences and Engineering (CEMSE) Division are delighted to announce the resumption of a series of seminars titled “Thoughts About Machine Learning". The seminars will be delivered in person by Jürgen Schmidhuber, Director of the KAUST AI Initiative, and will run weekly during the spring semester. The program will start with aspects of the theory of computation and delve into many topics not typically covered in a deep learning course. This is a truly unique opportunity to learn from one of the founders in artificial intelligence. Attendance is
Thoughts About Machine Learning - Week 7 Jürgen Schmidhuber, Professor, Computer Science Mar 12, 15:30 - 17:30 B9 LH1 R2322 machine learning artificial intelligence Reinforcement Learning The seminars will be delivered in person by Jürgen Schmidhuber, Director of the KAUST AI Initiative, and will run weekly during the spring semester. The program will start with aspects of the theory of computation and delve into many topics not typically covered in a deep learning course. This is a truly unique opportunity to learn from one of the founders in artificial intelligence.
Rising Stars in AI Symposium 2022 at KAUST Jürgen Schmidhuber, Professor, Computer Science Mar 13, 09:00 - Mar 15, 17:00 B4 B5 A0215 artificial intelligence machine learning mathematical optimization Deep Reinforcement Learning Computer Vision Natural Language Processing Rising Stars in AI Symposium 2022 at KAUST The "Rising Stars in AI Symposium" is geared towards young researchers (including PhD students, PostDocs, young faculty) who have recently published promising work at leading venues. There will be dozens of brief in-person presentations about papers recently accepted at major AI conferences such as NeurIPS, CVPR, EMNLP, ACL, ICML, ICLR, etc. All speakers will be encouraged to start with an intro for non-AI experts. To view the complete program and for more event details, please visit the symposium website. Attend the Symposium The symposium will be
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