BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//scienceofintelligence.de - ECPv6.15.12.2//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:scienceofintelligence.de
X-ORIGINAL-URL:https://www.scienceofintelligence.de
X-WR-CALDESC:Events for scienceofintelligence.de
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Berlin
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20200329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20201025T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20210328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20211031T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20220327T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20221030T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20230326T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20231029T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220120T100000
DTEND;TZID=Europe/Berlin:20220120T110000
DTSTAMP:20260404T182501
CREATED:20211221T061620Z
LAST-MODIFIED:20250604T092659Z
UID:11447-1642672800-1642676400@www.scienceofintelligence.de
SUMMARY:Mengmi Zhang (Harvard Medical School)\, “A Peek Into How Brain Computations Inspire New Paths in AI and How AI Elucidate Brain Computations”
DESCRIPTION:Abstract: \nThe fields of neuroscience and AI have a long and intertwined history. From the study of simple and complex cells in visual areas of the brain to the recent success of convolution neural networks in many real-world applications\, experimental and theoretical neuroscience has contributed significantly to designing smarter machines. In turn\, AI models help us better understand brain computations that underlie biological intelligence. In my talk\, I will present several efforts of deciphering brain computations by building computational models and quantifying model behaviors with human benchmarks in visual search and object recognition. Specifically\, I divide my presentation into two parts. First\, I will present works on predicting eye movement behaviors during visual search tasks.  An intriguing property of some classical search tasks is asymmetry such that finding a target A among distractors B can be easier than finding B among A.  We elucidate the mechanisms responsible for asymmetry in visual search. Second\, I will introduce two works on contextual reasoning in object recognition. We systematically investigated critical properties of where\, when\, and how context modulates recognition in humans and machines. \nPlease refer to the following list of papers for details. \nCVPR 2020: https://arxiv.org/pdf/1911.07349.pdf \nICCV 2021: https://arxiv.org/pdf/2104.02215.pdf \nNeurips 2021: https://arxiv.org/pdf/2106.02953.pdf \nNature Communications 2018: https://www.nature.com/articles/s41467-018-06217-x.pdf \nBio:\nMengmi Zhang is a research scientist and principal investigator in  Agency for Science\, Technology and Research (A*STAR)\, Singapore. Prior to this\, Dr. Zhang is a postdoc with Gabriel Kreiman at the Harvard Medical School from 2019-2021. She obtained her PhD at the National University of Singapore (2015-2019) and was a visiting graduate student in KreimanLab at the Harvard Medical School (2017-2018). Her research background is multi-disciplinary at the intersection of artificial intelligence and computational neuroscience. She has published multiple papers in top-tier conferences (such as CVPR\, ICCV\, IROS and NeurIPS) and international science journals (TPAMI\, Nature Communications\, Nature Human Behaviors). Her papers often come with humorous titles like “Finding any Waldo with zero-shot invariant and efficient visual search” or “When Pigs Fly”. She will become an adjunct assistant professor in the Department of Electrical and Computer Engineering\, National University of Singapore from August 2022. \n  \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-mengmi-zhang/
LOCATION:On Zoom
ATTACH;FMTTYPE=image/png:https://www.scienceofintelligence.de/wp-content/uploads/2021/12/Screenshot-2021-12-21-at-07.14.27.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220106T160000
DTEND;TZID=Europe/Berlin:20220106T173000
DTSTAMP:20260404T182501
CREATED:20211213T101206Z
LAST-MODIFIED:20250604T092718Z
UID:11359-1641484800-1641490200@www.scienceofintelligence.de
SUMMARY:Lars Lewejohann (Science of Intelligence)\, “What’s on a Mouse’s Mind? Behavioral Measures To Understand Experiences and Needs of an Animal”
DESCRIPTION:What’s on a mouse’s mind? Behavioral measures to understand experiences and needs of an animal\nLars Lewejohann\, Freie Universität Berlin\, German Federal Institute for Risk Assessment (BfR)\, German Centre for the Protection of Laboratory Animals (Bf3R) \nMice\, as all other living creatures\, have adapted to specific living conditions in the course of evolution. From a human point of view\, the behavior of animals is therefore not always easy to understand. This applies not only to the question of whether mice are actually capable of behaving intelligently\, but also to the question of what is necessary for optimizing animal welfare of laboratory animals. In our work\, we are interested in both questions and follow an animal-centered approach and are giving mice their say. Of course mice cannot fill out questionnaires\, but we have developed a series of behavioral tests that allow to query the animals. In this lecture I will outline our approach with regard to improving housing and living conditions as well as the implications of using mice as a model species for the science of intelligence. \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-lars-lewejohann-3/
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2021/12/lewejohann_800.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220106T100000
DTEND;TZID=Europe/Berlin:20220106T110000
DTSTAMP:20260404T182501
CREATED:20211222T105550Z
LAST-MODIFIED:20250604T092730Z
UID:11457-1641463200-1641466800@www.scienceofintelligence.de
SUMMARY:Ruben Arslan (MPI Berlin): “Bad Science vs. Open Science. The Replication Crisis and Possible Ways Out.”
DESCRIPTION:Estimates from large-scale replication projects in psychology suggest that the majority of studies from top journals do not replicate. Using commonly accepted research methods\, several academic fields amassed prolific\, seemingly coherent literatures on phenomena that do not exist\, such as extrasensory perception and depression candidate genes. Throughout the biomedical and life sciences\, data detectives keep finding highly cited papers that are riddled with errors invalidating their conclusions. Our textbooks are full of findings that do not replicate or are otherwise in serious doubt.\nAcademia as a system has issues\, but can we use the scientific method to understand and remedy them? A vibrant reform movement is seeking to do so\, but it is hard to keep track of all the suggestions to do better and tell fads from truly beneficial reforms. I outline concrete plans and paths that could lead to lasting improvements\, such as PCI Registered Reports\, the Peer Reviewer’s Openness Initiative\, post publication peer review\, and guideline and incentive setting at the journal\, hiring and funding level.\n \n  \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-ruben-arslan-mpi-berlin-personal-and-social-information-search-and-integration-for-intelligent-decisions-on-climate-action/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/png:https://www.scienceofintelligence.de/wp-content/uploads/2021/12/Screenshot-2021-12-21-at-07.12.49.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20211223T100000
DTEND;TZID=Europe/Berlin:20211223T110000
DTSTAMP:20260404T182501
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20211216T160000
DTEND;TZID=Europe/Berlin:20211216T173000
DTSTAMP:20260404T182501
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
ATTACH;FMTTYPE=image/png:https://www.scienceofintelligence.de/wp-content/uploads/2021/11/Screenshot-2021-11-18-at-09.43.41.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20211216T100000
DTEND;TZID=Europe/Berlin:20211216T110000
DTSTAMP:20260404T182501
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
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2021/11/INS2I-Couillet-D.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20211209T160000
DTEND;TZID=Europe/Berlin:20211209T173000
DTSTAMP:20260404T182501
CREATED:20211116T144022Z
LAST-MODIFIED:20240813T095314Z
UID:11003-1639065600-1639071000@www.scienceofintelligence.de
SUMMARY:POSTPONED - Distinguished Speaker Series Talk\, Iain Couzin (University of Konstanz)
DESCRIPTION:Postponed to a later date (to be assessed) \nMore info coming soon! \n 
URL:https://www.scienceofintelligence.de/event/distinguished-speaker-series-talk-iain-cousin-university-of-konstanz/
CATEGORIES:Distinguished Speaker Series
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2021/11/Iain-photo-by-Gabriel-Miller.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20211209T100000
DTEND;TZID=Europe/Berlin:20211216T110000
DTSTAMP:20260404T182501
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:20211202T160000
DTEND;TZID=Europe/Berlin:20211202T173000
DTSTAMP:20260404T182501
CREATED:20210726T103653Z
LAST-MODIFIED:20250604T092810Z
UID:10444-1638460800-1638466200@www.scienceofintelligence.de
SUMMARY:Alice Von Auersperg (University of Veterinary Medicine Vienna)\, “Breaking New Ground: Innovation in Birds\, Primates and Human Infants”
DESCRIPTION:Breaking new ground: innovation in birds\, primates and human infants  \nNovel behaviors that suddenly appear either as a solution to a new problem or as an alternative way to solve an existing problem allow humans and animals to deal with environmental challenges and to create new opportunities. They are thus key ingredients for developing advanced problem-solving abilities. \nIn order to gain a more meaningful understanding of the evolution of such innovative behavior\, it is important to study it comparatively across distantly related species that face variable selection pressures. \nIn this talk I would like to introduce the audience to a variety of different approaches used in comparative cognition research to study both innovation rate as well as strategies underlying innovative behavior in birds and primates.  \nInnovating a new way to manufacture a tool or innovatively creating new tool combinations (so-called associative tool use) are believed to be particularly relevant to the onset of complex technology. Humans show a striking developmental blockage for this particular type of innovation until they are about eight years old. Interestingly\, this phenomenon was discovered by applying experimental setups that were originally used on birds to human infants. I will present current avian and human developmental research on tool innovations and discuss motivational systems as well as cognitive means underlying the performances.\n \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-alice-von-auersperg/
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2019/10/auersperg.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20211202T100000
DTEND;TZID=Europe/Berlin:20211202T110000
DTSTAMP:20260404T182501
CREATED:20211116T143117Z
LAST-MODIFIED:20250604T092818Z
UID:10999-1638439200-1638442800@www.scienceofintelligence.de
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20211125T070000
DTEND;TZID=Europe/Berlin:20211125T203000
DTSTAMP:20260404T182501
CREATED:20211102T141814Z
LAST-MODIFIED:20250604T092830Z
UID:10940-1637823600-1637872200@www.scienceofintelligence.de
SUMMARY:What Does the Swarm Know? Collective Intelligence Explained at the HU Lab’s MitWissenschaft Event
DESCRIPTION:As part of the events linked to the exhibition Nach der Natur at the Humboldt Forum\, on 25 November at 7pm cluster members Jens Krause\, Lea Musiolek\, and Pawel Romanczuk will take part in an exciting discussion on the meaning\, the study\, and the challenges of collective intelligence\, bringing great examples and fascinating materials. How do schools of fish move together\, and how do they avoid danger? How do groups make decisions that are efficient for everyone? And how does this apply to artificial agents such as robots? Do not miss this moderated\, in-person talk at the Humboldt Forum! \nMore information and registration instructions here
URL:https://www.scienceofintelligence.de/event/what-does-the-swarm-know-collective-intelligence-explained-at-the-hu-labs-mitwissenschaft-event/
LOCATION:Humboldt Forum
CATEGORIES:For the Public
ATTACH;FMTTYPE=image/png:https://www.scienceofintelligence.de/wp-content/uploads/2021/11/mitteschanft.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20211110T180000
DTEND;TZID=Europe/Berlin:20211110T190000
DTSTAMP:20260404T182501
CREATED:20211004T104541Z
LAST-MODIFIED:20250604T095334Z
UID:10818-1636567200-1636570800@www.scienceofintelligence.de
SUMMARY:Berlin Science Week Talk\, Fritz Francisco: Why Behaviour? Why We Behave the Way We Do
DESCRIPTION:From French photographers\, Austrian naturalists and English adventurers – all have been equally fascinated by the way we are affected by\, and interact with our surroundings. It is the intricate interplay between self and others\, known and unknown\, present and future that makes behaviour so hard to grasp and exciting to study. Ethology\, the study of animal behaviour tackled this for ages. However\, it has recently undergone a change\, with digital assistance\, such as cameras\, as well as computers and their algorithms. Yet\, the underlying object of interest – behaviour – has not changed! Fritz Francisco will discuss what behaviour actually is and wish to make us see our own behaviour in a slightly different light. \nPlease register on the BSW website here
URL:https://www.scienceofintelligence.de/event/berlin-science-week-talk-fritz-francisco-why-behaviour-why-we-behave-the-way-we-do/
LOCATION:On Zoom
CATEGORIES:For the Public
ATTACH;FMTTYPE=image/png:https://www.scienceofintelligence.de/wp-content/uploads/2021/10/Screenshot-2021-09-30-at-12.39.54.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20211108T180000
DTEND;TZID=Europe/Berlin:20211108T190000
DTSTAMP:20260404T182501
CREATED:20211004T104343Z
LAST-MODIFIED:20240813T095534Z
UID:10814-1636394400-1636398000@www.scienceofintelligence.de
SUMMARY:Berlin Science Week Talk\, Ralf Kurvers and Pawel Romanczuk: Collective Intelligence or Collective Stupidity? From Fish Schools to Human Groups. Exploring swarm intelligence in fish and humans
DESCRIPTION:Scientists Pawel Romanczuk and Ralf Kurvers will explore swarm intelligence in fish and humans\, investigating the role of single individuals and social interactions in collective decisions\, also exploring when collectives make good decisions\, and when they go wrong. \nIn this talk\, David Bierbach will present results from fascinating experiments with a clonal fish\, the Amazon molly (Poecilia formosa)\, to test whether near-identical rearing conditions can dampen individual differences in behavior. In sharp contrast to predictions\, researchers found substantial individual variation in behavior among genetically identical individuals raised under highly standardized environments. \nBut how does this individuality allow swarms\, herds and shoals of animals to perform highly coordinated collective behaviors like synchronized movements or rapid consensus decision-making? Using a robotic fish\, Bierbach and his team also explored the effects of individual differences in behavior on collective movement\, migration and the emergence of group-specific behavioral patterns\, and showed that individual behavior plays a crucial role in shaping collective patterns\, with some animal personalities having greater impact on the group’s performance than others. \nWatch the interview of David Bierbach for the BSW here. \nPlease register on the BSW website here
URL:https://www.scienceofintelligence.de/event/berlin-science-week-talk-ralf-kurvers-and-pawel-romanczuk-collective-intelligence-or-collective-stupidity-from-fish-schools-to-human-groups-exploring-swarm-intelligence-in-fish-and-humans/
LOCATION:On Zoom
CATEGORIES:For the Public
ATTACH;FMTTYPE=image/png:https://www.scienceofintelligence.de/wp-content/uploads/2021/10/Screenshot-2021-09-30-at-12.39.54.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20211107T180000
DTEND;TZID=Europe/Berlin:20211107T190000
DTSTAMP:20260404T182501
CREATED:20211004T103130Z
LAST-MODIFIED:20250604T095359Z
UID:10811-1636308000-1636311600@www.scienceofintelligence.de
SUMMARY:Berlin Science Week Talk\, Alex Kacelnik and Marc Toussaint: Unsolved Problems in the Study of Intelligence. Learning About Intelligence\, From Crows to Robots
DESCRIPTION:A live discussion of Alex Kacelnik (Biologist\, U Oxford) and Marc Toussaint (AI Roboticist\, TU Berlin) on key problems in studying intelligence in both animals and AI systems. \n\n\n\n\n\nPlease register on the BSW website here
URL:https://www.scienceofintelligence.de/event/berlin-science-week-talk-alex-kacelnik-and-marc-toussaint-unsolved-problems-in-the-study-of-intelligence-learning-about-intelligence-from-crows-to-robots/
LOCATION:On Zoom
CATEGORIES:For the Public
ATTACH;FMTTYPE=image/png:https://www.scienceofintelligence.de/wp-content/uploads/2021/10/Screenshot-2021-09-30-at-12.39.54.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20211106T120000
DTEND;TZID=Europe/Berlin:20211106T133000
DTSTAMP:20260404T182501
CREATED:20211004T102709Z
LAST-MODIFIED:20250604T095409Z
UID:10806-1636200000-1636205400@www.scienceofintelligence.de
SUMMARY:Berlin Science Week Talk\, David Bierbach: Just Be Yourself! How Individual Differences Shape Collective Behavior. Using a Robotic Fish To Understand Collective Behavior
DESCRIPTION:Do genetically identical individuals living in the same environment develop identical behaviors? And what role does individuality play in shaping the collective behavior of a flock of birds or a school of fish? \nIn this talk\, David Bierbach will present results from fascinating experiments with a clonal fish\, the Amazon molly (Poecilia formosa)\, to test whether near-identical rearing conditions can dampen individual differences in behavior. In sharp contrast to predictions\, researchers found substantial individual variation in behavior among genetically identical individuals raised under highly standardized environments. \nBut how does this individuality allow swarms\, herds and shoals of animals to perform highly coordinated collective behaviors like synchronized movements or rapid consensus decision-making? Using a robotic fish\, Bierbach and his team also explored the effects of individual differences in behavior on collective movement\, migration and the emergence of group-specific behavioral patterns\, and showed that individual behavior plays a crucial role in shaping collective patterns\, with some animal personalities having greater impact on the group’s performance than others. \nWatch the interview of David Bierbach for the BSW here \nPlease register on the BSW website here
URL:https://www.scienceofintelligence.de/event/berlin-science-week-talk-david-bierbach-just-be-yourself-how-individual-differences-shape-collective-behavior-using-a-robotic-fish-to-understand-collective-behavior/
LOCATION:Naturkundemuseum
CATEGORIES:For the Public
ATTACH;FMTTYPE=image/png:https://www.scienceofintelligence.de/wp-content/uploads/2021/10/Screenshot-2021-09-30-at-12.39.54.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20211102T060000
DTEND;TZID=Europe/Berlin:20211102T190000
DTSTAMP:20260404T182501
CREATED:20211004T102104Z
LAST-MODIFIED:20250212T103958Z
UID:10799-1635832800-1635879600@www.scienceofintelligence.de
SUMMARY:Berlin Science Week Talk\, Guillermo Gallego: Giving Robots T-Rex-Inspired Eyes
DESCRIPTION:Ever heard of neuromorphic cameras? They are bio-inspired sensors that mimic the transient visual pathway. These cameras do not acquire pictures or full images as a normal video camera. Instead\, they sense only intensity changes at every pixel as they occur with microsecond resolution (called “events” or “spikes”). These cameras offer many advantages compared to traditional image-based cameras\, such as high speed\, a very high dynamic range\, and low power consumption\, and are slowly finding their way into computer vision and robotics applications. Come to learn more about these novel cameras! \nPlease register on the BSW website here
URL:https://www.scienceofintelligence.de/event/berlin-science-week-talk-guillermo-gallego-giving-robots-t-rex-inspired-eyes/
LOCATION:On Zoom
CATEGORIES:For the Public
ATTACH;FMTTYPE=image/png:https://www.scienceofintelligence.de/wp-content/uploads/2021/10/Screenshot-2021-09-30-at-12.39.54.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20211028T160000
DTEND;TZID=Europe/Berlin:20211028T173000
DTSTAMP:20260404T182501
CREATED:20210908T113520Z
LAST-MODIFIED:20240813T093828Z
UID:10612-1635436800-1635442200@www.scienceofintelligence.de
SUMMARY:Cameron Buckner (Univ. of Houston)\, Imagination and the Prospects for Empiricist Artificial Intelligence
DESCRIPTION:Abstract: In current debates over deep-neural-network-based AI\, deep learning researchers have adopted the mantle of philosophical empiricism and associationism\, and its critics have taken up the side of philosophical rationalism and nativism.  These rationalist critics\, however\, often interpret associationism and empiricism in a way which is too caricatured to fit the views of any significant thinker in the empiricist tradition.  In particular\, most empiricists were faculty theorists; while they generally eschewed innate knowledge\, they appealed to a variety of domain-general innate faculties like memory\, imagination\, and attention to explain how the mind abstracts knowledge from experience.  This dynamic is vividly illustrated in a centuries-displaced debate between David Hume and Jerry Fodor over the role of imagination in cognitive architecture.  Fodor famously claimed that the ability to synthesize novel ideas and create new compositional representations is required for cognition.  Fodor applauds Hume for agreeing on these points\, but criticizes Hume’s use of the imagination to discharge these burdens.  Fodor claims that such an appeal for an associationist is “cheating”\, and notes that Hume never explains how the empiricist imagination actually works\, merely assigning it a variety of essential functions to perform “as if by magic”. \nMore recently\, deep learning researchers have claimed to create generative deep neural network models that perform one or more of the roles ascribed to the imagination by cognitive psychology and neuroscience.  In this talk\, I canvass these models and their achievements (especially Generative Adversarial Networks\, Variational Autoencoders\, and Generative Transformers) to arbitrate this dispute between Humean empiricism and Fodorian rationalism.  Of particular interest will be various methods of latent space vector interpolation which appear to allow these models to create novel compositional representations\, whether these methods still count as associationist in nature\, and whether the purportedly crucial distinction between interpolation and extrapolation remains viable in the higher-order dimensional spaces over which these models operate. \nClick here for Cameron Buckner’s Bio. \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/distinguished-speaker-series-cameron-buckner-university-of-houston/
LOCATION:On Zoom
CATEGORIES:Distinguished Speaker Series
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2021/09/head-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20211019T100000
DTEND;TZID=Europe/Berlin:20211019T180000
DTSTAMP:20260404T182501
CREATED:20210917T093720Z
LAST-MODIFIED:20250604T095425Z
UID:10636-1634637600-1634666400@www.scienceofintelligence.de
SUMMARY:Mental Health in PhD Students. The Role of Graduate Schools\, the Integration of International Students and Impostor Syndrome
DESCRIPTION:Scholar Minds\, in collaboration with Science of Intelligence and the Berlin School of Mind and Brain\, would like to invite you to a special conference on the topic “Mental Health in PhD students: The role of graduate schools\, the integration of international students and impostor syndrome”. The event will take place online on October 19th from 10AM-6PM. The event will be held in English and is free of charge. \nThe event will incorporate keynotes\, workshops\, and hackathons to work on improving the current situations for early career researchers. The conference was initiated by Scholar Minds & the Berlin Cluster of Excellence “Science of Intelligence” and is a collaborative project of several mental health initiatives across Germany. \nWe are pleased to present a keynote lecture by Gordon Feld who will give an overview of how Germany needs to address the structural challenges of the academic system to best promote early career researchers. \nFurther\, we offer workshops on a selection of recurrent topics for early career researchers such as impostor syndrome (Mental Health Collective)\, stress management (Innerminder) or how to coordinate your projects (Scholar Minds). \nAnother highlight of the conference will be several hackathons tackling current challenges of the academic world such as how to improve the situation for international early career researchers in Germany (MATH+)\, bridging mental health and academic (N2 Network) or how the perfect graduate school (Dragonfly Mental Health) could look like. \nLast but not least\, there will be a panel discussion on the topic “Towards sunnier days: How to overcome the mental health crisis in academia?” opening the stage for different players of the academic system such as Jule Specht (Humboldt-Universität zu Berlin)\, Martin Grund (Max Planck Institute Leipzig)\, Ralf Kurvers (Science of Intelligence)\, and Aite Kashef (Lise-Meitner-Gesellschaft). \nPlease use this link to register: https://bit.ly/mh-event2021 \nIf you have any questions\, please contact  scholar-minds@charite.de. \nHomepage: http://www.scholar-minds.net/ \nE-Mail: scholar-minds@charite.de \nTwitter: @BerlinMinds
URL:https://www.scienceofintelligence.de/event/mental-health-in-phd-students-the-role-of-graduate-schools-the-integration-of-international-students-and-impostor-syndrome/
LOCATION:On Zoom
CATEGORIES:External Event
ATTACH;FMTTYPE=image/png:https://www.scienceofintelligence.de/wp-content/uploads/2021/09/Screenshot-2021-09-17-at-11.36.28.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20211014T160000
DTEND;TZID=Europe/Berlin:20211014T173000
DTSTAMP:20260404T182501
CREATED:20210722T073413Z
LAST-MODIFIED:20250604T095433Z
UID:10435-1634227200-1634232600@www.scienceofintelligence.de
SUMMARY:Tim Landgraf (Science of Intelligence)\, “The Hidden Shallows of Explaining Deep Models”
DESCRIPTION:Abstract:  \nIn 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. With deep neural networks (DNNs) quite powerful function approximators are available that can be fitted to huge data sets\, accelerated by cheap hardware and elaborate software stacks. It seems tempting to use DNNs as a default model but how do we analyze their behavior? DNNs are essentially black boxes: although we can write down the network function\, it does not tell us anything about the features it extracts or about the rules animals employ when interacting with one another. In recent years\, a new field has emerged and proposed a variety of methods to explain deep neural networks. In my talk\, I will (1) introduce you to some ideas that explanation algorithms are based on\, (2) show how quantifying their performance on proxy tasks can be misleading\, (3) provide an intuition why some popular proponents of these algorithms won’t work in deep networks\, (4) will introduce you to a new dataset generator that enables us to create challenging problems to test and evaluate explanation methods and (5) discuss why we need extensive (and expensive) user studies to investigate whether explanation methods actually provide additional information that would be available from the model’s outputs alone. I hope to stimulate a discussion about the use-cases for which “explain a DNN to discover the hidden rules of my study system” may work\, and in which it may not. \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-tim-landgraf/
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2019/10/landgraf_800.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20210923T100000
DTEND;TZID=Europe/Berlin:20210923T110000
DTSTAMP:20260404T182501
CREATED:20210920T083846Z
LAST-MODIFIED:20240813T093849Z
UID:10644-1632391200-1632394800@www.scienceofintelligence.de
SUMMARY:Tina Klüwer (Science of Intelligence)\, AI Director Science & Startups
DESCRIPTION:Through a talk followed by a discussion and Q&A\, AI Director at Science & Startups Tina Klüwer will explore the joint programmes and resources offered by Berlin’s universities to those wishing to successfully start and develop a company\, also explaining what support is available. \nBIO:\nDr. Tina Klüwer is a recognized expert\, manager and technical ambassador for the topic of Artificial Intelligence and its implementation in business.\nCurrently\, she leads the AI project of Science & Startups\, the network of startup services of the Berlin universities and the Charité Universitätsmedizin Berlin.\nBefore starting the project\, she was founder and CEO of parlamind GmbH\, a company for automation in customer service through AI and language processing. After the successful exit of the business\, she led its four sister companies as technical director. Previously she worked as a researcher at the German Research Center for Artificial Intelligence (DFKI)\, the Bonn University and Freie Universität Berlin\, Germany for over ten years. She received her PhD thesis in computational linguistics from Saarland University.\nTina Klüwer is board member of the German KI Bundesverband (Federal Association for AI)\, Chairwoman of the Technological Sovereignty Advisory Council of the Federal Ministry of Education and Research\, as well as part of the coordination group for AI Standardization by Federal Ministry for Economic Affairs and Energy (BMWI) and DIN. She was also an expert member of the German Bundestag’s two-year Enquete Commission on Artificial Intelligence. \n  \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-tina-kluwer-ai-director-science-startups/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/png:https://www.scienceofintelligence.de/wp-content/uploads/2021/09/Tina-Kluwer.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20210916T140000
DTEND;TZID=Europe/Berlin:20210916T170000
DTSTAMP:20260404T182501
CREATED:20210726T104056Z
LAST-MODIFIED:20240813T093855Z
UID:10447-1631800800-1631811600@www.scienceofintelligence.de
SUMMARY:SCIoI Open Day
DESCRIPTION:Interested in SCIoI’s activities? Want to know more about how to apply for a research position at SCIoI?\nAt this all-digital event\, prospective applicants as well as other interested persons can visit the cluster\, have a (virtual) look around the spaces and facilities\, meet researchers and staff\, and get a general feel for the place. \nClick here to attend\, Thursday 16 September between 2 and 5pm! \n  \n 
URL:https://www.scienceofintelligence.de/event/scioi-open-day/
CATEGORIES:External Event
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2018/11/Robotics-Panda-Hand-Mount-5-scaled-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20210831T140000
DTEND;TZID=Europe/Berlin:20210831T170000
DTSTAMP:20260404T182501
CREATED:20210603T131238Z
LAST-MODIFIED:20250604T095444Z
UID:10277-1630418400-1630429200@www.scienceofintelligence.de
SUMMARY:Workshop for Early-Career Researchers: “How To Review in Interdisciplinary Research”
DESCRIPTION:One major part of the scientific workflow is the publication of scientific results. An essential step on the way to the published item is the peer-review process\, in which other scientists evaluate submitted work. Their views\, recommendations and critique often strongly influence the decision of whether a submitted item is published or not. We assume that these peers are themselves experts on the topic they are reviewing\, and while this is most often true for reviews made on items that lay within a certain discipline\, more and more research is done across the boundaries of scientific disciplines\, which produces the publication of research items\, that may contain parts from vastly different scientific areas.\nIn addition\, many disciplines have their own “styles” when it comes to the review process.\nSo\, what to do as a reviewer when asked to assess a scientific work\, that lies only partially within your own area of expertise? This workshop will tackle this question through presenting experts’ views from different scientific areas\, a general discussion stage as well as a DIY part in which we will work on a guideline for interdisciplinary peer-reviews. \nRegistration deadline: 16 August 2021 \nOrganizers: Pia Bideau\, David Bierbach\, Andrzej Banburski \n  \n  \n 
URL:https://www.scienceofintelligence.de/event/how-to-review/
CATEGORIES:External Event
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2018/11/Electronics-Lab-6-scaled-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20210720T100000
DTEND;TZID=Europe/Berlin:20210720T180000
DTSTAMP:20260404T182501
CREATED:20210621T132221Z
LAST-MODIFIED:20250604T095502Z
UID:10371-1626775200-1626804000@www.scienceofintelligence.de
SUMMARY:Opening of the Humboldt Labs Exhibition "After Nature"
DESCRIPTION:Come see our videos and materials at the exhibition “After Nature” at the brand-new Humboldt Forum! \nEntry is free for everyone\, so we hope to see you all there on 20 July! Tickets for the exhibitions will be available from 13 July 2021. You can book your ticket online or via +49 30 99 211 89 89\, or visit www.humboldtforum.org.\nAddress: Schlossplatz\, 10178 Berlin
URL:https://www.scienceofintelligence.de/event/opening-of-the-humboldt-labs-exhibition-inside-the-humboldt-forum/
CATEGORIES:External Event
ATTACH;FMTTYPE=image/png:https://www.scienceofintelligence.de/wp-content/uploads/2021/06/Screenshot-2021-06-21-at-15.16.59.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20210715T160000
DTEND;TZID=Europe/Berlin:20210715T173000
DTSTAMP:20260404T182501
CREATED:20210126T083842Z
LAST-MODIFIED:20250604T095514Z
UID:9590-1626364800-1626370200@www.scienceofintelligence.de
SUMMARY:Heiko Hamann (Science of Intelligence)\, “Group Performance and Scalability in Collective Systems”
DESCRIPTION:Abstract:\nScalability 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 down due to increased needs to communicate and synchronize or due to other scarce shared resources. We go through a number of examples for observed system performance over system size and find common features. Based on these findings\, we define a simple mathematical model that catches these main features and can generically be applied to different domains\, such as robotics\, computing\, and sensor networks or possibly even human groups. We end by speculating a bit of what might be common to all of these systems and what might be the underlying drivers for the limits of scalability. \nThe Zoom Link will be sent the day before the lecture. (Contact communication@scioi.de for specific questions)
URL:https://www.scienceofintelligence.de/event/pi-lecture-heiko-hamann/
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2019/10/Hamann_800.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20210715T100000
DTEND;TZID=Europe/Berlin:20210715T110000
DTSTAMP:20260404T182501
CREATED:20210526T110411Z
LAST-MODIFIED:20250604T095521Z
UID:10233-1626343200-1626346800@www.scienceofintelligence.de
SUMMARY:Dimitri Coelho Mollo (SCIoI)\, “Modelling Intelligence: The Good\, the Bad\, and the Plural”
DESCRIPTION:Abstract:  I argue that artificial intelligence research has been both fuelled and hindered by the use of ‘model tasks’\, that is\, tasks the solution of which are taken to be sufficient for\, or at least indicative of intelligence. Before AI proper\, cybernetics explored model tasks involving basic real-time and world-involving action control aimed at the maintenance of homeostasis\, an approach echoed more recently by the embodied AI movement. Logicist AI\, in contrast\, took as model tasks for intelligence the solution of abstract problems\, such as theorem-proving and proficiency in combinatorially complex games\, chess having pride of place. Connectionist AI – including the current deep learning wave – despite privileging model tasks tied to learning from ‘experience’\, shares this focus on abstract\, disembodied behaviours as key to intelligence\, with particular effort being done in language processing\, categorisation\, and combinatorially complex games\, such as Go. Reliance on model tasks has led to considerable progress in solving those specific tasks\, but against expectation they did not lead to theoretical insights about the nature of intelligence in general\, and how to build it. This outcome\, I argue\, is in part due to the failure of recognising the limited scope of model tasks\, as well as the abstractions and idealisations of real-world intelligent behaviour that they embody. All mainstream frameworks in AI research\, in brief\, focus on circumscribed\, idealised models of intelligent behaviour\, those for which the respective approaches tend to generate cumulative progress and satisfactory solutions. Such models\, however\, abstract or idealise away important features of intelligence\, and\, if unchecked\, close off potentially rewarding paths of research. Bringing to the fore the limitations tied to such model task choices\, as well as the abstractions and idealisation involved in each\, I argue\, opens the way for a more integrative and plural approach to AI. \nThe Zoom Link will be sent the day before the lecture. (Contact communication@scioi.de for specific questions)
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-work-in-progress-dimitri-coelho-mollo-scioi-modelling-intelligence-the-good-the-bad-and-the-plural/
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2020/03/Dimitri1-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20210701T160000
DTEND;TZID=Europe/Berlin:20210701T173000
DTSTAMP:20260404T182501
CREATED:20210126T083722Z
LAST-MODIFIED:20250604T095530Z
UID:9588-1625155200-1625160600@www.scienceofintelligence.de
SUMMARY:Guillermo Gallego (Science of Intelligence)\, “Current Status of Event-Based Vision Research”
DESCRIPTION:Abstract:\nEvent-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\, high speed\, high dynamic range\, bandwidth savings\, low power\, etc.). My previous talk was about event-based cameras for Spatial AI. In this talk I will provide an overview of how event-based cameras are becoming more and more widely spread in multiple applications (monitoring\, tracking\, counting\, recognition\, etc.). \nThe Zoom Link will be sent the day before the lecture. (Contact communication@scioi.de for specific questions) \n 
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-guillermo-gallego/
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2019/10/20190903_ECDF_Gallego_3h_bw.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20210701T100000
DTEND;TZID=Europe/Berlin:20210701T110000
DTSTAMP:20260404T182501
CREATED:20210526T105942Z
LAST-MODIFIED:20250604T095539Z
UID:10226-1625133600-1625137200@www.scienceofintelligence.de
SUMMARY:Rasmus Rothe\, PhD (Merantix)\, “How To Build a (Deep Tech) Startup”
DESCRIPTION:Abstract: Rasmus Rothe is Co-Founder at Merantix\, the Artificial Intelligent Venture Studio. In this talk he will give insight into how a deep tech startup is built via ideation\, incubation and scaling\, and the specifics and challenges of working with technology AI in the process. \nBIO: Rasmus Rothe is the co-founder and CTO of Berlin-based Merantix\, the world’s first venture studio for AI\, co-initioator of the AI Campus Berlin\, the leading AI community hub in Berlin\, and a renowned deep learning researcher. He has published over 15 academic papers with more than 1000 citations on deep learning while attending Oxford\, Princeton\, and ETH Zurich\, where he received his Ph.D and launched a face recognition service with 150m+ users. In 2019\, he was featured on Forbes “30 under 30”. Rasmus is a founding board member of the German Association of AI\, devising and implementing the national AI strategy in close cooperation with the German government. \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-rasmus-rothe-phd-merantix-how-to-build-a-deep-tech-startup/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/png:https://www.scienceofintelligence.de/wp-content/uploads/2021/05/Screenshot-2021-05-26-at-12.57.59.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20210624T160000
DTEND;TZID=Europe/Berlin:20210624T173000
DTSTAMP:20260404T182501
CREATED:20210607T113648Z
LAST-MODIFIED:20250604T095548Z
UID:10284-1624550400-1624555800@www.scienceofintelligence.de
SUMMARY:Kou Murayama (Universität Tübingen)\, “A Reward-Learning Framework of Knowledge Acquisition: How We Can Integrate the Concepts of Curiosity\, Interest\, and Intrinsic-Extrinsic Rewards.”
DESCRIPTION:Recent years have seen a considerable surge of research on interest-based engagement\, examining how and why people are engaged in activities without relying on extrinsic rewards. However\, the field of inquiry has been somewhat segregated into three different research traditions which have been developed relatively independently — research on curiosity\, interest\, and trait curiosity/interest. The current talk sets out an integrative perspective; the reward-learning framework of knowledge acquisition. This conceptual framework takes on the basic premise of existing reward-learning models of information seeking: that knowledge acquisition serves as an inherent reward\, which reinforces people’s information-seeking behavior through a reward-learning process. However\, the framework reveals how the knowledge-acquisition process is sustained and boosted over a long period of time in real-life settings\, allowing us to integrate the different research traditions within reward-learning models. The framework also characterizes the knowledge-acquisition process with four distinct features that are not present in the reward-learning process with extrinsic rewards — (1) cumulativeness\, (2) selectivity\, (3) vulnerability\, and (4) under-appreciation. The talk describes some evidence from our lab supporting these claims. \nHosted by Rebecca Lazarides \nSpeaker website: https://koumurayama.com/people.php \nThe Zoom Link will be sent the day before the lecture. (Contact communication@scioi.de for specific questions)
URL:https://www.scienceofintelligence.de/event/distingushed-speaker-series-kou-murayama-universitat-tubingen-hosted-by-rebecca-lazarides/
LOCATION:On Zoom
CATEGORIES:Distinguished Speaker Series
ATTACH;FMTTYPE=image/png:https://www.scienceofintelligence.de/wp-content/uploads/2021/06/Screenshot-2021-06-07-133959-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20210617T160000
DTEND;TZID=Europe/Berlin:20210617T173000
DTSTAMP:20260404T182501
CREATED:20210126T082237Z
LAST-MODIFIED:20250604T095557Z
UID:9583-1623945600-1623951000@www.scienceofintelligence.de
SUMMARY:Rebecca Lazarides (Science of Intelligente)\, “Learning in Social Interaction – Emotions\, Motivation and Adaptive Learning Support”
DESCRIPTION: 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\, within-agent characteristics such as a certain level of emotion and motivation is required to participate in social interactions. Consequently\, the interplay between characteristics of social interactions and characteritics of learners influences learning in a way that might speed up knowledge transfer. In the PI lecture\, key principles of learning in humans from the perspective of research in motivational and intructional psychology are reviewed and possible transfers to synthetic agents are discussed. Challenges of understanding human learning in social interaction will be illustrated in an overview of related project in SCIoI that address questions of emotions in social learning. \n\n\nThe Zoom Link will be sent the day before the lecture. (Contact communication@scioi.de for specific questions)
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-rebecca-lazarides/
CATEGORIES:PI Lecture
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2018/11/lazarides_800.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20210617T100000
DTEND;TZID=Europe/Berlin:20210617T110000
DTSTAMP:20260404T182501
CREATED:20210429T080929Z
LAST-MODIFIED:20240813T093732Z
UID:10115-1623924000-1623927600@www.scienceofintelligence.de
SUMMARY:Jose Hernandez-Orallo (Valencia/Cambridge)\, "The Generality of Natural and Artificial Intelligence: Task Difficulty as the Elephant in the Room"
DESCRIPTION:Abstract: Understanding and recreating intelligence is possibly the biggest scientific challenge of our time. Evolution has produced organisms that are highly specialised for some cognitive tasks\, whereas others present what has been called general intelligence\, with humans identified as the paragon. Artificial intelligence (AI)\, despite decades of efforts to achieve generality\, is still specialised. It is a major research question to disentangle the notion of general intelligence\, by clearly determining what generality is and how it can be measured for individuals rather than populations. Under limited resources\, we must overhaul the classical yet misleading interpretation of general intelligence as ‘success in all sorts of situations’ and introduce a new view of generality as ‘comprehensive performance up to a level of difficulty’. The degree of generality then refers to the way an agent’s capability is distributed as a function of task difficulty\, according to environmental and cognitive pressures. This dissects the notion of general intelligence into two non-populational measures\, generality and capability. We interpret and apply these measures with humans\, non-human animals and AI systems. The choice of the difficulty function now plays a prominent role in this new conception of generality\, which brings a quantitative tool for shedding light on long-standing questions about the evolution of general intelligence and the evaluation of progress in Artificial General Intelligence. \nHosted by Dimitri Coelho Mollo \nThe Zoom Link will be sent the day before the lecture. (Contact communication@scioi.de for specific questions) \n 
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-jose-hernandez-orallo-valencia-cambridge-the-generality-of-natural-and-artificial-intelligence-task-difficulty-as-the-elephant-in-the-room/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2021/04/J.H.Orallo-1.jpg
END:VEVENT
END:VCALENDAR