Kurt Wüthrich
2002 Nobel Laureate in Chemistry | Professor of Biophysics, ETH Zürich & Scripps Research | Pioneer of NMR Spectroscopy for Biological Macromolecules
Jürgen Schmidhuber
Scientific Director, IDSIA | AI Director & Professor, KAUST | Father of Generative AI | Pioneer of LSTM & Deep Learning
Jürgen Schmidhuber is widely regarded as the father of modern AI — the scientist behind LSTM networks, foundational to Siri, Alexa, and ChatGPT, and the originator of Generative AI principles in the early 1990s. With 320,000+ academic citations and posts at IDSIA and KAUST, he offers senior audiences a uniquely unfiltered view of where artificial intelligence is truly headed.
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Jürgen Schmidhuber biography
Jürgen Schmidhuber is one of the most consequential scientists in the history of artificial intelligence — a German computer scientist whose foundational research in the 1990s quietly built the technical infrastructure that now powers the AI revolution. He serves as Scientific Director of the Dalle Molle Institute for Artificial Intelligence Research (IDSIA) in Switzerland, a position he has held since 1995, and as Director of the AI Initiative and Professor of Computer Science at King Abdullah University of Science and Technology (KAUST) in Saudi Arabia, where he has been based since 2021.
AI speaker Jürgen Schmidhuber is best known as the co-inventor — with his student Sepp Hochreiter — of Long Short-Term Memory (LSTM) networks, published in 1997 and widely recognized as the most commercially valuable AI achievement of the 20th century. LSTM is the architecture that enabled modern speech recognition, machine translation, and natural language processing: it powers Apple’s Siri, Google Translate, Amazon’s Alexa, and was a foundational building block for the transformer models behind ChatGPT and today’s large language models. The 1997 LSTM paper is the most cited AI paper of the 20th century. His Google Scholar profile lists over 320,000 citations, placing him among the most referenced scientists in the field.
But LSTM is only part of the story. In what Schmidhuber calls his “Annus Mirabilis” of 1990–1991, he laid the theoretical foundations for what the world now calls Generative AI — introducing principles of unsupervised learning, hierarchical neural networks, and curiosity-driven AI exploration that presaged the architectures now dominating the field by more than two decades. The New York Times ran a profile under the headline “When A.I. Matures, It May Call Jürgen Schmidhuber ‘Dad'”, and Elon Musk wrote on X that “Schmidhuber invented it all.” He has received the Helmholtz Award from the International Neural Network Society (2013) and the IEEE Neural Network Pioneer Award (2016) for his contributions to deep learning.
A Contrarian at the Frontier
Schmidhuber is not a figure who follows consensus — he shapes and challenges it. He has spent years publicly contesting the historical record of AI attribution, arguing that foundational contributions from European and Asian researchers were systematically overlooked in favor of a small group of North American academics. His 2024 technical report, updated in 2025, argues that the Nobel Prize in Physics awarded to Hopfield and Hinton rewarded work that built on prior unacknowledged research — a claim that has circulated widely in the AI research community. He is also notably contrarian on AI risk: where many peers warn of existential threats, Schmidhuber argues those fears are overstated and that AI will ultimately distribute intelligence and prosperity globally.
As a speaker, Jürgen Schmidhuber offers something genuinely rare: the perspective of a scientist who saw the current AI moment coming decades before it arrived, who built core pieces of the infrastructure that made it possible, and who holds strong, carefully argued views that cut against the dominant narratives in both industry and policy. His keynotes challenge audiences to think about AI’s past, present, and future with the rigor and independence of someone who has spent his career on the frontier — and who has little interest in comfortable consensus.
Jürgen Schmidhuber Speaking Videos
Jürgen Schmidhuber - Fighting the Coronavirus with AI & Deep Learning
Jürgen Schmidhuber - True Artificial Intelligence will change everything
Jürgen Schmidhuber Keynote Topics
The popular narrative of AI's origins — centered on a small group of North American researchers — omits decades of foundational work done in European and Asian labs that made the current revolution possible. In this keynote, Schmidhuber reconstructs the actual history of deep learning, Generative AI, and neural network research, tracing the ideas behind today's most celebrated AI systems to their real origins. More than a history lesson, it is a framework for understanding how scientific credit, institutional power, and media narratives shape what gets built next — and who gets to build it. A uniquely authoritative and provocative talk for technology, science, and leadership audiences.
Since his teenage years, Schmidhuber's central scientific goal has been to build an AI smarter than himself in every meaningful way. In this keynote, he maps the technical and conceptual path from today's large language models toward artificial general intelligence — examining what current systems can and cannot do, which research directions are most likely to produce the next major breakthroughs, and what the arrival of truly general AI would mean for humanity, science, and the global order. Delivered with the authority of someone who has been at the frontier of this research for four decades — and who has a track record of being right about the future.
While much of the public debate on AI is dominated by warnings of existential risk and dystopian scenarios, Schmidhuber offers a rigorous counterargument: that these fears are largely overstated, that AI will ultimately distribute intelligence and prosperity globally rather than concentrating them, and that the greatest benefits of the technology will flow to those currently least served by existing institutions. Drawing on his decades of research and his current work at KAUST — at the intersection of AI and Saudi Arabia's Vision 2030 — he makes a compelling, evidence-based case for why the AI century is more likely to produce a new golden age of science than the catastrophe that dominates headlines.
A deep technical keynote for audiences who want to understand how modern AI actually works — and where it is going. Schmidhuber traces the evolution from his 1997 LSTM architecture through the attention mechanisms and transformer models that underpin today's large language models, explaining in accessible terms what each advance solved and what it left unresolved. He examines the current limitations of LLMs, the most promising directions in neural architecture research, and what the next generation of AI systems will need to do that today's cannot. An ideal keynote for technology, engineering, and R&D audiences seeking genuine technical depth from the scientist who built the foundations.
Speaker topics
FAQs on Booking Jürgen Schmidhuber
Why Jürgen Schmidhuber?
Booking Jürgen Schmidhuber means bringing one of the true founding figures of modern AI to your stage — not a commentator on the AI revolution, but one of the scientists who made it possible. His LSTM architecture powers the voice assistants and translation tools used by billions daily; his early 1990s work on Generative AI preceded the field's mainstream emergence by over two decades; and his 320,000+ academic citations place him among the most referenced scientists in history. On stage, Schmidhuber is intellectually fearless: he challenges received wisdom about AI's origins, its current trajectory, and its long-term implications with the confidence of someone who has been right about the future before — consistently, and well ahead of the crowd. For events where senior audiences expect genuine depth rather than polished talking points, there is no more credible AI voice. Aurum Speakers Bureau manages every aspect of the engagement.
What is LSTM and why does it matter?
Long Short-Term Memory, or LSTM, is a type of recurrent neural network architecture co-invented by Jürgen Schmidhuber and Sepp Hochreiter in 1997. It solved a fundamental problem in AI research: how to enable neural networks to retain and use information over long sequences of data — something earlier architectures could not do reliably. LSTM became the dominant technique for natural language processing, speech recognition, and machine translation throughout the 2000s and 2010s, powering Apple's Siri, Google Translate, Amazon's Alexa, and many other widely used technologies. The 1997 paper is the most cited AI paper of the 20th century. While transformer-based architectures have since become dominant for large language models, LSTM remains in widespread use and its influence on the development of modern AI is foundational.
Is Jürgen Schmidhuber really the "father of Generative AI"?
Schmidhuber's claim to the title rests on a body of work from his "Annus Mirabilis" of 1990–1991, in which he introduced theoretical principles — including unsupervised neural network training, curiosity-driven learning, and hierarchical generative models — that underlie what is now called Generative AI. These contributions preceded the work most commonly cited in popular histories of the field by a significant margin. The New York Times acknowledged this in a profile headlined "When A.I. Matures, It May Call Jürgen Schmidhuber 'Dad'", and Elon Musk described him on X as having "invented it all." The question of attribution in AI history is genuinely contested — Schmidhuber himself is the most vocal advocate for a more rigorous historical record — but his foundational contributions to the architectures underlying modern AI are not in serious dispute among researchers familiar with the primary literature.
What topics does AI speaker Jürgen Schmidhuber cover?
Speaker Jürgen Schmidhuber addresses the deepest and most consequential questions in artificial intelligence: the true history of deep learning and Generative AI and why it matters for how we think about the field today; the technical trajectory of AI toward artificial general intelligence and what that means for society, business, and geopolitics; why fears about AI existential risk are overstated — and what the real challenges are; how AI will reshape scientific research, productivity, and the global distribution of knowledge; and what it means that much of the frontier AI research is now happening outside the traditional US-European axis. His talks are equally suited to technology leadership conferences, innovation summits, science and research institutions, and executive strategy events where the goal is to engage with AI at a level beyond the surface. Contact Aurum Speakers Bureau to discuss availability and format.
How to book Jürgen Schmidhuber as a keynote speaker?
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