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Prof. Dr. Sepp Hochreiter
ABOUT THIS WEBINAR
Sepp Hochreiter is a German computer scientist. Since 2018 he has led the Institute for Machine Learning at the Johannes Kepler University of Linz after having led the Institute of Bioinformatics from 2006 to 2018. In 2017 he became the head of the Linz Institute of Technology (LIT) AI Lab which focuses on advancing research on artificial intelligence. Previously, he was at the Technical University of Berlin, at the University of Colorado at Boulder, and at the Technical University of Munich.
Sepp Hochreiter has made numerous contributions in the fields of machine learning, deep learning and bioinformatics. He developed the long short-term memory (LSTM).
The foundation of deep learning were led by his analysis of the vanishing or exploding gradient. He contributed to meta learning and proposed flat minima as preferable solutions of learning artificial neural networks to ensure a low generalization error. He developed new activation functions for neural networks like exponential linear units (ELUs) or scaled ELUs (SELUs) to improve learning. He contributed to reinforcement learning via actor-critic approaches and his RUDDER method. He applied biclustering methods to drug discovery and toxicology. He extended support vector machines to handle kernels that are not positive definite with the "Potential Support Vector Machine" (PSVM) model, and applied this model to feature selection, especially to gene selection for microarray data. Also in biotechnology, he developed "Factor Analysis for Robust Microarray Summarization" (FARMS). Sepp Hochreiter introduced modern Hopfield newtworks with continuous states and applied them to the task of immune repertoire classification.
In addition to his research contributions, Sepp Hochreiter is broadly active within his field: he launched the Bioinformatics Working Group at the Austrian Computer Society; he is founding board member of different bioinformatics start-up companies; he was program chair of the conference Bioinformatics Research and Development; he is a conference chair of the conference Critical Assessment of Massive Data Analysis (CAMDA); and he is editor, program committee member, and reviewer for international journals and conferences. As a faculty member at Johannes Kepler Linz, he founded the Bachelors Program in Bioinformatics, which is a cross-border, double-degree study program together with the University of South-Bohemia in České Budějovice (Budweis), Czech Republic. He also established the Masters Program in Bioinformatics, where he is still the acting dean of both studies.
Sepp Hochreiter is also a founding director of Institute of Advanced Research in Artificial Intelligence (IARAI).
History of LSTM
LSTM use is in IT or Internet related applications mainly, machine translation, speech recognition etc. these are all North American or Chinese dominated industries now. How come that in Europe we have not been able to catch up and entirely been unable to build large IT or Internet firms. (platform only 3% in Europe valuations)
Europe vs US and now China adoption of AI. Statistics: Top 10% of AI experts are still mainly coming from Europe. BUT they work for NA companies then. is Europe providing the brains and US and now China monetize it?
Industrial AI, where do we stand, what will be possible? Now while in IT or Internet applications it seems easier to apply AI is that true ad why is that?
AI-powered data-driven Digital Twins, what is it, why is it needed and what can be done, examples?
Industrial AI projects, how to get started for a company?
AI research reached a plateau people say, do you share this?
What are examples of projects in AI that have not worked out and what are the lessons learned?
What will you invent still in your career and give to the world?
Who can attend?Anyone with the event link can attend