Episode 03: How do machines learn?

In 2016, the South Korean Go player Lee Sedol lost four out of
five matches against the computer programme AlphaGo. The 37th
move of the second meeting is regarded as a milestone in machine
learning – because the AI applied its knowledge creatively and
amazed the community with an unprecedented move. But how exactly
do machines learn? 


In Episode 3 of “AI and Us”, we investigate the difference
between classic AI and self-learning machines. Both methods have
their advantages and disadvantages according to Humboldtians
Christian Becker-Asano, Milica Gašić, Tobias Matzner and Daniel
Rückert who cite examples from their own research areas. 


The Alexander von Humboldt Foundation


Every year, the Alexander von Humboldt Foundation enables more
than 2,000 researchers from all over the world to spend time
conducting research in Germany. The Foundation maintains a
network of well over 30,000 Humboldtians from all disciplines in
more than 140 countries worldwide – including 57 Nobel Laureates.


As part of the German government’s Artificial Intelligence
Strategy, the Alexander von Humboldt Foundation can appoint a
total of 30 Alexander von Humboldt Professors for Artificial
Intelligence in the years up to 2024. These chairs are
contributing to work being done to comprehensively investigate
the opportunities AI offers for our future and to make use of
them. They will also help strengthen Germany’s standing as an
internationally attractive and influential location in this
important field.