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
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 sequences were successful or not. Reinforcement learning also provides a framework for understanding how humans learn and decide given reward information only. Standard reinforcement learning
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 is a poor explanation for their behavior. We can show that to explain empirical results from animals, we need to have the drive to optimize
Abstract: I would like to give a personal perspective of the scientific motivation and framing of SCIoI and relate them to the research of my lab, the Robotics and Biology Laboratory. But at the same time, I would like to critically question and discuss all of these things, in an attempt to move towards a
Rainer Mühlhoff and John-Dylan Haynes participated in a fishbowl discussion on predictive AI.
Marchstr. 23 – MAR 5-2
10587 Berlin
Email: info@scioi.de
Tel: +49 30 314 70660
