"Boost your experiments!" The ScioI cluster provides for several post-doc level research positions for improving scientific integration across disciplines, as well as for advancing the level of sophistication in experiments we can conduct in the ScioI Labs. Currently, there are two "support" post-docs, Pia Bideau and Raphael Deimel. Pia is an expert in motion-based image
Abstract: Implicit or explicit assumptions which used to guide our empirical study of visual perception have started to be called into question. We would like to share this observation with other people, hear about similar or different developments in other fields, and discuss its consequences.
Thursday Morning Talk SCIoI postdoctoral researcher Dimitri Coelho Mollo will be giving us a sneak peak of his upcoming seminar for the SS2020 "Philosophy of Artificial Intelligence" and present his current work on the project "Concept of Intelligence" (PIs: Michael Pauen, Miriam Kyselo, John-Dylan Haynes).
Thursday morning talk How to sway voters Across the world, politicians challenging the established elite are rising. Presenting contrarian views with high confidence, these politicians challenge the status quo, calling for a radically different course of action, often going against scientific evidence. Systematic investigations of the success of such ‘contrarian’ strategies are, however, absent. Though
Thursday Morning Lectures (on Zoom) Natural Language Representations in the Human Brain Abstract An integral part of human language is the capacity to extract the meaning of words through different sensory modalities. For example, humans can easily comprehend the meaning of language presented through auditory speech or written text. However, how the human brain
PI Lecture on Zoom The impact of visual actions on human vision More than 10,000 times every waking hour, we use rapid movements of our eyes, head and body to reorient our gaze. These visual actions allow us to see every aspect of the visual world at the highest resolution. It seems likely — in
Thursday Morning Talk (on Zoom) Abstract: One of the assumptions made in the original SCIoI proposal is that intelligence is non-decomposable. This means that intelligent behavior results to a large degree from the interactions between component and not only from the components themselves. Components have different names, depending on what discipline you are from. If
ABSTRACT: The goal of this presentation is to discuss a potential project proposal within RU2 of SCIoI, in particular, to initiate a discussion with researchers from the analytic side. I will first briefly introduce our recent work on physical reasoning and manipulation planning. This work required us to develop elaborate solvers which influenced my view
Abstract: Learning - here defined as knowledge acquisition and behavioral changes caused by experiences - is a central prerequisite for the development of humans, animals, and some artificial agents. Against the backdrop of psychological and educational theories of learning and related empirical studies, the talk addresses the following questions: How is learning influenced by social
More than an actual talk, this will be an informal exchange on the theme of "A potential paradigm shift in vision search." Active participation is warmly welcomed. This is an internal event, meant for SCIoI members only.
With research in machine learning (ML) and natural language processing (NLP), we aim to give machines the ability to understand and use human language. In this talk, I give a high level introduction of some of the challenges of the field and give an overview of basic NLP tasks (and show some demos). I also
Patients suffering from schizophrenia are less susceptible to various perceptual illusions (and to some hallucinations, too) than most healthy individuals. Yet, schizophrenia patients’ perception-forming processes have been characterised as aberrant, as producing false inferences and irrational mental states. This characterisation is consistent with the idea that perceptual experiences and processes can be appraised as rational
Marchstr. 23 – MAR 5-2
10587 Berlin
Email: info@scioi.de
Tel: +49 30 314 77344
