Author: Jascha Grübel
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Neuro 140/240 – Lecture 7
Lecture by Jan Drugowitsch at Harvard University. My personal takeaway on auditing the presented content. Course overview at https://klab.tch.harvard.edu/academia/classes/BAI/bai.html Biological and Artificial Intelligence A simple understanding would believe that a brain has a state has is changed via a function and input to produce a behaviour. However, the complexity of the brain makes the function…
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Neuro 140/240 – Lecture 5
Lecture by Tomer Ullman at Harvard University. My personal takeaway on auditing the presented content. Course overview at https://klab.tch.harvard.edu/academia/classes/BAI/bai.html Biological and Artificial Intelligence The development of intuitive physics and intuitive psychology Turing proposed that an AI could be developed very much like a human – from a empty notebook or child to a developed adult.…
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Neuro 140/240 – Lecture 4
Lecture by Cengiz Pehlevan at Harvard University. My personal takeaway on auditing the presented content. Course overview at https://klab.tch.harvard.edu/academia/classes/BAI/bai.html Biological and Artificial Intelligence Inductive bias of neural networks A brain can be understood as a network with parameters as 10^11 neurons (nodes) and 10^14 synapses (parameters. Geoffrey Hinton cleverly observed that “The brain has about…
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Neuro 140/240 – Lecture 2
Lecture by Richard Born at Harvard University. My personal takeaway on auditing the presented content. Course overview at https://klab.tch.harvard.edu/academia/classes/BAI/bai.html Biological and Artificial Intelligence Warren Weaver was the head at the Rockefeller Center in the 1950s and he said the future of engineering is to understand the tricks that nature has come up with over the…
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Neuro 140/240 – Lecture 1
Lecture by Gabriel Kreiman at Harvard University. My personal takeaway on auditing the presented content. Course overview at https://klab.tch.harvard.edu/academia/classes/BAI/bai.html Biological and Artificial Intelligence Eventually, we will have ultraintelligent machines, that is machines that are more intelligent than humans. Going back to 1950, The Turing test denotes the first test to understand whether a machine is…
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Geometry of Big Data – Tuesday session
Session 1 – Graph-based persistence The talk On the density of expected persistence diagrams and its kernel based estimation is given by Frederic Chazal. A draft is available on arxiv. Grow circles around point data to generate a graph whenever other points meet the circle and produce a persistent homology of filtered simplicial complexes (e.g…
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Geometry of Big Data – Monday session
All talks are summarised in my words which may not accurately represent the authors’ opinion. The focus is on aspects I found interesting. Please refer to the authors’ work for more details. Session 1 – Learning DAGs The talk DAGs with NO TEARS: Continuous Optimization for Structure Learning is given by Pradeep Ravikumar. A draft…
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Starting “Geometry and Learning from Data in 3D and Beyond” at IPAM, UCLA
Today is the first day of my stay at the Institute for Pure and Applied Mathematics (IPAM) at University of California Los Angeles (UCLA). Over the coming weeks I wil try to discuss interesting talks here at the long course Geometry and Learning from Data in 3D and Beyond. Stay tuned for the first workshop…
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A Manifesto to Cite 50/50
I recently came across Women Also Know Stuff. I think it is a great initiative that helps to slowly combat systemic and structural inequality. They point to many female scientists in most social sciences and I wondered whether I could find a similar program in computer science. The answer was no because apparently we first…
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Off to the Chicago Forum on Global Cities
Today I write you as part of a mini-series on my stay at the Chicago Forum on Global Cities (CFGC). I have been kindly sponsored by ETH Zurich and the Chicago Forum to participate in the event. I am currently sitting in my train to Zurich airport and I am looking forward to 3 days…