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X-WR-CALDESC:Events for scienceofintelligence.de
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DTSTART;TZID=Europe/Berlin:20211202T100000
DTEND;TZID=Europe/Berlin:20211202T110000
DTSTAMP:20260410T085837
CREATED:20211116T143117Z
LAST-MODIFIED:20250604T092818Z
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SUMMARY:Kate Storrs (Justus Liebig University\, Giessen)\, “Modelling Mid-Level Vision With Unsupervised Learning”
DESCRIPTION:Abstract:\nModels 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\, most networks require supervised training using ground-truth labels for millions of images\, whereas brains must somehow learn from sensory experience alone. We have been using unsupervised deep learning\, combined with computer-rendered artificial environments\, as a framework to understand how brains learn rich scene representations without ground-truth information about the world. I will show how an unsupervised deep neural network trained on an artificial environment of surfaces that have different shapes\, materials and lighting\, spontaneously comes to encode those factors in its internal representations. Most strikingly\, the model makes patterns of errors in its perception of material that follow\, on an image-by-image basis\, the patterns of errors made by human observers. Unsupervised deep learning may provide a coherent framework for how many perceptual dimensions form\, in mid-level vision and beyond. \nHosted by Martin Rolfs \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-kate-storr-justus-liebig-university-giessen-modelling-mid-level-vision-with-unsupervised-learning/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/png:https://www.scienceofintelligence.de/wp-content/uploads/2021/11/Screenshot-2021-11-16-at-15.27.23.png
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20211209T100000
DTEND;TZID=Europe/Berlin:20211216T110000
DTSTAMP:20260410T085837
CREATED:20211125T115420Z
LAST-MODIFIED:20250604T092800Z
UID:11164-1639044000-1639652400@www.scienceofintelligence.de
SUMMARY:Eric J. Johnson (Columbia University\, US)\, “Can We Improve Choices by Changing How Choices Are Posed?”
DESCRIPTION:Abstract:\nChoice 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 can hurt) the decision maker. The talk will start by reviewing some results from choice architecture and describe how the environment can affect choice through the choice of strategy and emphasize the role of memory. I will then turn toward developments in studying choice processes including online process tracing techniques and recent developments in the application of eye-tracking using web-based cameras. Finally\, I will talk about applications to presenting consumers and policy makers with information to support sustainable decisions. \nHosted by Oliver Brock\n \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-eric-j-johnson-columbia-university-us-can-we-improve-choices-by-changing-how-choices-are-posed/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2021/11/21.06.01-055-1.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20211216T100000
DTEND;TZID=Europe/Berlin:20211216T110000
DTSTAMP:20260410T085837
CREATED:20211125T115451Z
LAST-MODIFIED:20250604T092750Z
UID:11159-1639648800-1639652400@www.scienceofintelligence.de
SUMMARY:Romain Couillet (University Grenoble-Alps\, France)\, “Random Matrices Could Steer the Dangerous Path Taken by AI but Even That Is Likely Not Enough”
DESCRIPTION:Abstract:\nLike 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\, I propose that recent advances in large dimensional mathematics\, and especially random matrices\, could help AI engage in the future economic growth. This being said\, even those mitigating solutions are only temporary in regards to the imminence of collapse\, which calls for drastically more decisive changes in the whole research and industry world. I will discuss these aspects in a second part and hope to leave ample time for discussion. \nHosted by Pia Bideau \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-romain-couillet-university-grenoble-alps-france-random-matrices-could-steer-the-dangerous-path-taken-by-ai-but-even-that-is-likely-not-enough/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20211216T160000
DTEND;TZID=Europe/Berlin:20211216T173000
DTSTAMP:20260410T085837
CREATED:20211118T084943Z
LAST-MODIFIED:20250604T092741Z
UID:11010-1639670400-1639675800@www.scienceofintelligence.de
SUMMARY:Lars Chittka (Queen Mary\, University of London)\, “The Mind of a Bee”
DESCRIPTION: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 honeycombs\, an exact climate control system inside their home\, the provision of the hive with commodities that must be harvested over a large territory (nectar\, pollen\, resin\, and water)\, as well as a symbolic communication system that allows them to inform hive members about the location of these commodities. However\, the richness of bees’ instincts has traditionally been contrasted with the notion that bees’ small brains allow little behavioural flexibility and learning behaviour. This view has been entirely overturned in recent years\, when it was discovered that bees display abilities such as counting\, attention\, simple tool use\, learning by observation and metacognition (knowing their own knowledge). Thus\, some scholars now discuss the possibility of consciousness-like phenomena in the bees. These observations raise the obvious question of how such capacities may be implemented at a neuronal level in the miniature brains of insects. We need to understand the neural circuits\, not just the size of brain regions\, which underlie these feats. Neural network analyses show that cognitive features found in insects\, such as numerosity\, attention and categorisation-like processes\, may require only very limited neuron numbers. Using computational models of the bees’ visual and olfactory systems\, we explore whether seemingly advanced cognitive capacities might ‘pop out’ of the properties of relatively basic neural processes in the insect brain’s visual processing area\, and their connection with the mushroom bodies\, higher order learning centres in the brains of insects. \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/distinguished-speaker-series-lars-chittka-queen-mary-university-of-london-the-mind-of-a-bee/
LOCATION:TU Berlin
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20211223T100000
DTEND;TZID=Europe/Berlin:20211223T110000
DTSTAMP:20260410T085837
CREATED:20211125T115919Z
LAST-MODIFIED:20240813T095249Z
UID:11168-1640253600-1640257200@www.scienceofintelligence.de
SUMMARY:Elke Weber (Princeton University)\, "Personal and Social Information Search and Integration for Intelligent Decisions on Climate Action"
DESCRIPTION:Abstract:\nSome 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 models and how such learning and updating is related to and differs from the way in which people and other intelligent agents use other sources of information\, e.g.\, vicarious feedback (anecdotal/social and/or in the form of statistical distributions of outcomes) or science- or model-based outcome predictions.  What happens when these different sources of forecasts of the consequences of choices disagree with each other? How do such conflicts get resolved?  How do these different ways of learning and updating over time lie at the basis of the formation and/or modification of social norms?  And how can answers to this complex of questions be put to use to motivate greater action on climate change? \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-elke-weber-princeton-university-personal-and-social-information-search-and-integration-for-intelligent-decisions-on-climate-action/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2021/11/biophoto.elke_.closeup.2020.jpeg
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