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
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
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
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
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
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
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
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
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
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,
Reward-based Learning and Decision Making under Risk Reinforcement learning provides a framework for making agents learn policies through feedback signals (“rewards”), which provide information about whether their actions or action
Abstract: Research in robotics and A.I. aims at optimizing very specific task rewards. Intelligent animals have a high degree of curiosity, and recent results have shown that instrumental reward optimization
Marchstr. 23 – MAR 5-2
10587 Berlin
Email: info@scioi.de
Tel: +49 30 314 70660
