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12 events found.

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November 2021

Thu 25
For the Public
25 November, 2021 @ 7:00 am - 8:30 pm

What does the swarm know? Collective intelligence explained at the HU Lab’s MitWissenschaft Event

Humboldt Forum

As part of the events linked to the exhibition Nach der Natur at the Humboldt Forum, on 25 November at 7pm cluster members Jens Krause, Lea Musiolek, and Pawel Romanczuk

December 2021

Thu 2
Thursday Morning Talk
2 December, 2021 @ 10:00 am - 11:00 am

Kate Storrs (Justus Liebig University, Giessen), “Modelling mid-level vision with unsupervised learning”

On Zoom

Abstract: Models of vision have come far in the past 10 years. Deep neural networks can recognise objects with near-human accuracy, and predict brain activity in high-level visual regions. However,

Thu 2
2 December, 2021 @ 4:00 pm - 5:30 pm

Alice von Auersperg (University of Veterinary Medicine Vienna), “Breaking new ground: innovation in birds, primates and human infants”

Breaking new ground: innovation in birds, primates and human infants  Novel behaviors that suddenly appear either as a solution to a new problem or as an alternative way to solve

Thu 9
Thursday Morning Talk
9 December, 2021 @ 10:00 am - 16 December, 2021 @ 11:00 am

Eric J. Johnson (Columbia University, US), “Can we improve choices by changing how choices are posed?”

On Zoom

Abstract: Choice architecture suggests that much of what we decide is influenced by that options are presented. This means that the choice environment can encode intelligence that will help (or

Thu 9
Distinguished Speaker Series
9 December, 2021 @ 4:00 pm - 5:30 pm

POSTPONED – Distinguished Speaker Series Talk, Iain Couzin (University of Konstanz)

Postponed to a later date (to be assessed) More info coming soon!  

Thu 16
Thursday Morning Talk
16 December, 2021 @ 10:00 am - 11:00 am

Romain Couillet (University Grenoble-Alps, France), “Random Matrices could steer the dangerous path taken by AI but even that is likely not enough”

On Zoom

Abstract: Like most of our technologies today, AI dramatically increases the world's carbon footprint, thereby strengthening the severity of the coming downfall of life on the planet. In this talk,

Thu 16
Thursday Morning Talk
16 December, 2021 @ 4:00 pm - 5:30 pm

Lars Chittka (Queen Mary, University of London), “The mind of a Bee”

TU Berlin

Abstract: Bees have a diverse instinctual repertoire that exceeds in complexity that of most vertebrates. This repertoire allows the social organisation of such feats as the construction of precisely hexagonal

Thu 23
Thursday Morning Talk
23 December, 2021 @ 10:00 am - 11:00 am

Elke Weber (Princeton University), “Personal and Social Information Search and Integration for Intelligent Decisions on Climate Action”

On Zoom

Abstract: Some of my past and current research looks at "decisions from  experience,” i.e., decisions based on the personally experienced outcomes of past choices, along the lines of reinforcement learning

January 2022

Thu 6
Thursday Morning Talk
6 January, 2022 @ 10:00 am - 11:00 am

Ruben Arslan (MPI Berlin): “Bad Science vs. Open Science. The replication crisis and possible ways out.”

On Zoom

Estimates from large-scale replication projects in psychology suggest that the majority of studies from top journals do not replicate. Using commonly accepted research methods, several academic fields amassed prolific, seemingly coherent literatures

Thu 6
PI Lecture
6 January, 2022 @ 4:00 pm - 5:30 pm

Lars Lewejohann (Science of Intelligence), “What’s on a mouse’s mind? Behavioral measures to understand experiences and needs of an animal”

What's on a mouse's mind? Behavioral measures to understand experiences and needs of an animal Lars Lewejohann, Freie Universität Berlin, German Federal Institute for Risk Assessment (BfR), German Centre for

Thu 20
20 January, 2022 @ 10:00 am - 11:00 am

Mengmi Zhang (Harvard Medical School), “A peek into how brain computations inspire new paths in AI and how AI elucidate brain computations”

On Zoom

Abstract: The fields of neuroscience and AI have a long and intertwined history. From the study of simple and complex cells in visual areas of the brain to the recent success

Thu 20
PI Lecture
20 January, 2022 @ 4:00 pm - 5:30 pm

Henning Sprekeler (Science of Intelligence), “Harnessing machine learning to model biological systems”

"Harnessing machine learning to model biological systems" Abstract: Classically, models of biological systems follow two different approaches. In bottom-up approaches, biological data are used to constrain a phenomenological model of

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Science of
Intelligence

Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany ́s Excellence Strategy – EXC-2002/1 – Project number 390523135.

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