We must know - We will know.
Teaching AI & More.
Basicly, Information is all we have...
And what our brains use
to construct our world...
The big question is, of course, how our brains do that...
Not there yet, but as David Hilbert said:
Wir dürfen nicht denen glauben, die heute mit philosophischer Miene und überlegenem Tone den Kulturuntergang prophezeien und sich in dem Ignorabimus gefallen. Für uns gibt es kein Ignorabimus, und meiner Meinung nach auch für die Naturwissenschaft überhaupt nicht. Statt des törichten Ignorabimus heiße im Gegenteil unsere Losung:
Wir müssen wissen - wir werden wissen!
Indeed, a better general understanding of intelligence, would, of course,
also lead to a better understanding of artificial intelligence,
which could, and should, help us move forward towards a better understanding our world...
Well, I tried to connect the dots in my AI talk (March 2019).
AI - Making it Real.
I had the pleasure of talking about AI
to
the 4th Semester Classes in Economics & IT, Eaaa.
Wednesday, March 27th, 2019.
After a short detour into linear regression,
logistic regression,
supervised learning &
unsupervised learning
the main topics were neural nets,
deep learning and
the limits of AI.
The talk ended with the hope that more people would be
interested in working on AI projects.
And, well, luckily, a good deal of the audience appeared to be genuinely interested in volunteering...
-Simon
Simon Laub (Let me Google that for you).
www.simonlaub.net
