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“Machine learning and AI for the sciences
-- towards understanding”
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Date: |
Download-files: |
Time: |
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Thursday, 18. May 2017 |
Video-Recording for any system with MP4-support
- Video.mp4 (ca.475 Mb) |
15:15 – 16:30 |
Klaus-Robert
Müller
(TU Berlin)
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.
The future colloquium
program can be found at:
http://agenda.albanova.se/categoryDisplay.py?categId=301