SeekamiJürgen Schmidhuber @schmidhuberai
Juergen Schmidhuber ranks #49 in the public Seekami AI Influence Top 100 and is classified as AI industry.
Who is Jürgen Schmidhuber?
Jürgen Schmidhuber’s academic history includes a PhD at TUM and research at IDSIA, USI and KAUST. His work spans recurrent neural networks and learning agents. LSTM, developed with Sepp Hochreiter, is an important collaborative contribution within that history.
Notable work and what to look for
Two useful reading threads are memory and prediction: how recurrent networks handle relationships across a sequence, and how world models support learning agents. World Models provides an accessible entry point. For historical priority claims, consult papers and publication dates rather than promotional labels.
Interviews, work and further reading
These reading paths include interviews, first-person writing, institutional biographies and original research. Not every item is an interview.
- Jürgen Schmidhuber · KAUST biography ↗
Institutional biography; this profile avoids promotional superlatives.
cemse.kaust.edu.sa - World Models · 2018 ↗
A visual introduction to collaborative research connecting representation and control.
worldmodels.github.io
Explore related work
Seekami public ranking snapshot
Public research summary
| Field | Result |
|---|---|
| Rank band | Top 50 |
| Public category | AI industry |
| Useful signal | Broad AI industry signals |
Peer position and reproducible findings
| Comparison | Result |
|---|---|
| Position in the public Top 100 | #49 of 100 |
| AI industry category position | #16 of 35 |
| Composite vs category average | -0.62 points (category average 89.72) |
| Strongest signal this release | Authority · 95.23 |
These findings describe relative position within the published snapshot. They support screening and verification, not inference about private attributes or future campaign results.
How to interpret the scores
The composite combines normalized public signals. Authority describes position in the public AI relationship network; public reach reflects observable scale; recent engagement reflects available activity signals in this release. Scores support relative comparison and are not ratings of truth, personal ability or campaign performance.
Creators nearby in the ranking
Source and limitations
This page uses the formal Seekami ranking snapshot. Profiles and public signals change, and rank is not a third-party endorsement. Read the methodology and data boundaries.