Klaus-Robert Muller: Machine learning & AI for the Sciences — Towards Understanding
Klaus-Robert Muller
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Members: FreeCIS
IEEE Members: Free
Non-members: FreeLength: 01:07:00
08 Jul 2018
Klaus-Robert Muller Plenary talk at WCCI 2018
Abstract:"In recent years machine learning (ML) and Artificial Intelligence (AI)
methods have begun to play a more and more enabling role in
the sciences and in industry.
In particular the advent of large and/or complex data corpora has given rise to
new technological challenges and possibilities.
The talk will touch upon the topic of ML applications in sciences, here, in
Neuroscience, Medicine and Physics and discuss possibilities for extracting
information from machine learning models for furthering our understanding by explaining nonlinear ML models.
Finally briefly perspectives and limits will be outlined."
Abstract:"In recent years machine learning (ML) and Artificial Intelligence (AI)
methods have begun to play a more and more enabling role in
the sciences and in industry.
In particular the advent of large and/or complex data corpora has given rise to
new technological challenges and possibilities.
The talk will touch upon the topic of ML applications in sciences, here, in
Neuroscience, Medicine and Physics and discuss possibilities for extracting
information from machine learning models for furthering our understanding by explaining nonlinear ML models.
Finally briefly perspectives and limits will be outlined."
