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12 events found.

PI Lecture

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  2. PI Lecture

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February 2021

Thu 4
PI Lecture
4 February, 2021 @ 4:00 pm - 5:30 pm

Rasha Abdel Rahman, “How Intelligent Is Visual Perception?”

Visual perception is shaped by the input from our physical environment and by expectations derived from our sensory experience with the visual world. But is what we see also influenced

April 2021

Thu 15
PI Lecture
15 April, 2021 @ 4:00 pm - 5:30 pm

Oliver Brock (Science of Intelligence): 5 Things I Think About (Out Loud)

Abstract: Oliver Brock will talk about these five things: 1) Is intelligence non-decomposable? 2) Does intelligence require multiple computational paradigms? 3) To neuroscience or not to neuroscience? 4) A principle

Thu 22
PI Lecture
22 April, 2021 @ 4:00 pm - 5:30 pm

Oliver Brock (Science of Intelligente): 5 Things I Think About (Out Loud), Part 2

Abstract: Oliver Brock will continue exploring about these five things: 1) Is intelligence non-decomposable? 2) Does intelligence require multiple computational paradigms? 3) To neuroscience or not to neuroscience? 4) A

May 2021

Thu 6
PI Lecture
6 May, 2021 @ 4:00 pm - 5:30 pm

Martin Rolfs (Science of Intelligence), “Looking for Action in Perception”

On Zoom

Abstract Actions affect perception directly and in multiple ways, exerting their influence (1) by modifying parts of the external world, (2) through internal processes accompanying movement preparation, and (3) through

Thu 20
PI Lecture
20 May, 2021 @ 4:00 pm - 5:30 pm

Marc Toussaint (Science of Intelligence), “Do We Need Reasoning?”

On Zoom

Reasoning (or planning, rational decision making) seems a core aspect of intelligence -- but what exactly does that mean? If we observe clever behavior in an animal, can we claim

June 2021

Thu 3
PI Lecture
3 June, 2021 @ 4:00 pm - 5:30 pm

Pawel Romanczuk (Science of Intelligence), “Is Intelligence Critical? Can Magnets Teach Us Anything About Brains and Swarms?”

Abstract: More than three decades ago, it was proposed that certain natural systems can be viewed as self-organized critical systems, which self-tune themselves to special regions in parameter space close

Thu 17
PI Lecture
17 June, 2021 @ 4:00 pm - 5:30 pm

Rebecca Lazarides (Science of Intelligente), “Learning in Social Interaction – Emotions, Motivation and Adaptive Learning Support”

 ABSTRACT: Central theories of learning in human agents emphasize that the quality of instruction and interaction between agents is of high importance for effective knowledge transfer. On the other side,

July 2021

Thu 1
PI Lecture
1 July, 2021 @ 4:00 pm - 5:30 pm

Guillermo Gallego (Science of Intelligence), “Current Status of Event-Based Vision Research”

Abstract: Event-based cameras, also called neuromorphic cameras or silicon retinas, are novel vision sensors that mimic functions from the human retina and offer potential advantages over traditional cameras (low latency,

Thu 15
PI Lecture
15 July, 2021 @ 4:00 pm - 5:30 pm

Heiko Hamann (Science of Intelligence), “Group Performance and Scalability in Collective Systems”

Abstract: Scalability can be challenging in groups of collaborating agents, such as animals, robots, or computers. While a small group may work efficiently together, a bigger group may be slowed

October 2021

Thu 14
PI Lecture
14 October, 2021 @ 4:00 pm - 5:30 pm

Tim Landgraf (Science of Intelligence), “The Hidden Shallows of Explaining Deep Models”

Abstract: In the cognitive-, behavioral- or neuro-sciences we often match a computational model to observations and then, analyzing the model, hope to find results that generalize to the underlying system.

January 2022

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
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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