Venue: Otto-Stern-Zentrum (OSZ), Hörsaal H3

What we see today in AI is only the beginning. In this talk, Jürgen Schmidhuber, one of the pioneers of modern artificial intelligence, offers a perspective on the past, present, and future of AI, from its foundational ideas to its transformative impact on society and technology. The lecture will be held in English and is open to all interested participants.

Speaker: Prof. Dr. Jürgen Schmidhuber, Director of IDSIA, Switzerland und Director of the AI Initiative, KAUST, Saudi-Arabia.

Date: Monday 23. März, 13:00 Uhr
Where?: Otto-Stern-Zentrum (OSZ), Hörsaal H3, Ruth-Moufang-Straße 2, Frankfurt am Main

Abstract:
Everybody is talking about AI. However, everything that we have seen so far in AI is nothing compared to what's going to come. Let's first provide some historic context. Modern AI emerged around 1990 when the Cold War ended, the WWW was born, the first smartphone was created, the first self-driving cars appeared in traffic, and my little TUM AI lab published foundations of the two most frequently cited scientific articles of all time (with the most citations within 3 years - manuals excluded), while laying the foundations of Generative AI and ChatGPT. I’ll discuss how in the 2000s this has begun to impact billions of human lives, how AI will continue to make human lives longer and healthier and easier, how AI will benefit all (not just a few big companies), how sophisticated blue collar workers in the physical world will gain a temporary advantage over white collar workers behind the screen. I'll discuss how AI will eventually spread from the virtual world behind the screen into the much more challenging physical world of robots, factories, and machines, eventually culminating in life-like, self-replicating and self-improving machine civilisations, which represent the ultimate form of upscaling. I'll also discuss what will happen in the next 40 billion years. 

Mini-Biography:
The NY Times headlined: "When A.I. Matures, It May Call Jürgen Schmidhuber 'Dad'." His team introduced principles of (1) the P in ChatGPT, (2) the T in ChatGPT, (3) neural net distillation (key for DeepSeek), (4) GANs for neural World Models, (5) LSTM, the most cited AI of the 20th century, and (6) the basis of the most cited paper of the 21st century.