# Jürgen Schmidhuber

> German computer scientist and artificial intelligence researcher

**Wikidata**: [Q92735](https://www.wikidata.org/wiki/Q92735)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Jürgen_Schmidhuber)  
**Source**: https://4ort.xyz/entity/jurgen-schmidhuber

## Summary
Jürgen Schmidhuber is a German computer scientist and artificial intelligence researcher known for pioneering work in deep learning and recurrent neural networks. He is a co-founder of the Dalle Molle Institute for Artificial Intelligence Research (IDSIA) and has made foundational contributions to artificial intelligence, including the development of Long Short-Term Memory (LSTM) networks.

## Biography
- Born: January 17, 1963, Munich, Germany
- Nationality: German
- Education: Doctorate in Natural Sciences from Technical University of Munich (1991), supervised by Wilfried Brauer and Klaus Schulten
- Known for: Pioneering work in deep learning, recurrent neural networks, and artificial intelligence
- Employer(s): Dalle Molle Institute for Artificial Intelligence Research (since 1995), Technical University of Munich, Università della Svizzera italiana (adjunct professor since 2021)
- Field(s): Artificial intelligence, computer science, deep learning

## Contributions
Jürgen Schmidhuber has made groundbreaking contributions to artificial intelligence, most notably the development of Long Short-Term Memory (LSTM) networks in 1997, which have become fundamental to modern deep learning applications including speech recognition, machine translation, and time series prediction. He co-founded the Dalle Molle Institute for Artificial Intelligence Research (IDSIA) in 1988, where he has led research on neural networks and machine learning. Schmidhuber has published over 350 peer-reviewed papers and is credited with numerous innovations in AI, including the formal theory of curiosity and creativity in artificial agents. His work has influenced major technology companies and academic research worldwide, with LSTM networks being deployed in billions of devices today.

## FAQs
### Q: What is Jürgen Schmidhuber most famous for?
A: He is most famous for co-developing Long Short-Term Memory (LSTM) networks, a revolutionary recurrent neural network architecture that has become essential for many AI applications including speech recognition and language processing.

### Q: Where does Jürgen Schmidhuber work?
A: He works at the Dalle Molle Institute for Artificial Intelligence Research (IDSIA) in Switzerland, where he has been since 1995, and also holds positions at the Technical University of Munich and Università della Svizzera italiana.

### Q: What is Jürgen Schmidhuber's educational background?
A: He earned his doctorate in Natural Sciences from the Technical University of Munich in 1991, with his dissertation supervised by Wilfried Brauer and Klaus Schulten.

## Why They Matter
Jürgen Schmidhuber's work has fundamentally shaped modern artificial intelligence, particularly through LSTM networks that power many of today's AI applications. His theoretical frameworks for understanding machine learning and his practical innovations have influenced both academic research and industry development. The LSTM architecture he co-developed with Sepp Hochreiter has become one of the most widely used neural network designs, enabling breakthroughs in areas from natural language processing to autonomous systems. His research institute, IDSIA, has trained numerous AI researchers who now lead major technology companies and academic programs worldwide. Without his contributions, many of the AI capabilities we take for granted today would not exist or would be significantly delayed.

## Notable For
- Co-developer of Long Short-Term Memory (LSTM) networks, a foundational deep learning architecture
- Founder and director of the Dalle Molle Institute for Artificial Intelligence Research (IDSIA)
- Recipient of the IEEE Neural Networks Pioneer Award (2016)
- Published over 350 peer-reviewed papers in artificial intelligence and machine learning
- Formalized theories of curiosity and creativity in artificial agents

## Body
### Early Life and Education
Jürgen Schmidhuber was born on January 17, 1963, in Munich, Germany. He completed his doctorate in Natural Sciences at the Technical University of Munich in 1991, working under the supervision of Wilfried Brauer and Klaus Schulten.

### Career and Research
In 1988, Schmidhuber co-founded the Dalle Molle Institute for Artificial Intelligence Research (IDSIA) in Switzerland, where he has served as co-director. He has also held positions at the Technical University of Munich and Università della Svizzera italiana, where he became an adjunct professor in 2021.

### Key Innovations
Schmidhuber's most significant contribution is the development of Long Short-Term Memory (LSTM) networks in 1997, created with Sepp Hochreiter. This recurrent neural network architecture solved the vanishing gradient problem and has become essential for processing sequential data. His work extends to formal theories of curiosity, creativity, and fun in artificial agents, as well as universal AI approaches.

### Academic Impact
He has supervised numerous doctoral students who have become prominent researchers themselves, including Alex Graves, Daan Wierstra, and Jonathan Masci. His research has been cited thousands of times and has influenced major technology companies including Google, Apple, and Microsoft.

### Recognition
Schmidhuber received the IEEE Neural Networks Pioneer Award in 2016 for his contributions to the field. He maintains an active presence in the AI community through publications, speaking engagements, and social media, with over 50,000 followers on Twitter.

## Schema Markup
```json
{
  "@context": "https://schema.org",
  "@type": "Person",
  "name": "Jürgen Schmidhuber",
  "jobTitle": "Computer Scientist and Artificial Intelligence Researcher",
  "worksFor": [
    {
      "@type": "Organization",
      "name": "Dalle Molle Institute for Artificial Intelligence Research"
    },
    {
      "@type": "Organization",
      "name": "Technical University of Munich"
    },
    {
      "@type": "Organization",
      "name": "Università della Svizzera italiana"
    }
  ],
  "nationality": {
    "@type": "Country",
    "name": "Germany"
  },
  "birthDate": "1963-01-17",
  "birthPlace": "Munich, Germany",
  "alumniOf": [
    {
      "@type": "EducationalOrganization",
      "name": "Technical University of Munich"
    }
  ],
  "knowsAbout": [
    "Artificial Intelligence",
    "Computer Science",
    "Deep Learning",
    "Recurrent Neural Networks"
  ],
  "sameAs": [
    "https://en.wikipedia.org/wiki/Jürgen_Schmidhuber",
    "https://www.wikidata.org/wiki/Q54919"
  ],
  "description": "German computer scientist and artificial intelligence researcher known for pioneering work in deep learning and recurrent neural networks"
}

## References

1. [Source](https://people.idsia.ch/~juergen/cv.html)
2. [Source](https://people.idsia.ch/~juergen/life/)
3. Integrated Authority File
4. [Source](https://www.supsi.ch/idsia_en/institute/people/academic-staff.html)
5. [Source](https://www.nytimes.com/2016/11/27/technology/artificial-intelligence-pioneer-jurgen-schmidhuber-overlooked.html?smid=pl-share)
6. [Source](http://nyti.ms/2g8hxWt)
7. [Source](http://people.idsia.ch/~juergen/life/)
8. [Source](https://cis.ieee.org/awards/past-recipients)
9. Mathematics Genealogy Project
10. Virtual International Authority File
11. [Source](https://ellis.eu/members)
12. Munzinger Personen
13. Quora