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BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220428T100000
DTEND;TZID=Europe/Berlin:20220428T110000
DTSTAMP:20260404T005857
CREATED:20220331T102930Z
LAST-MODIFIED:20250604T092531Z
UID:11880-1651140000-1651143600@www.scienceofintelligence.de
SUMMARY:Danny Driess\, Manuel Baum\, Katharina Hohlbaum\, Niek Andresen (Science of Intelligence)\, “Perspectives on the Gap Between Robotic Models and Observed Biological Behavior”
DESCRIPTION:Abstract: \n\n\n\n\n\n\n\n\nOne of SCIoI’s goals is to establish and evaluate synthetic models for biological data. Achieving this goal is clearly beneficial not only to produce more capable artificial behavior\, but also to get a better idea about the processes that may underlie biological intelligence. Why can a cockatoo or mouse open a lock box? What information do we need to provide an artificial agent to perform this task? While this goal is attractive in theory\, different projects in SCIoI face diverse practical problems on their way to fulfill this vision. In this joint talk we (Katharina Hohlbaum\, Niek Andresen\, Danny Driess\, and Manuel Baum) will discuss this topic from the perspectives of our individual projects. We aim not only to report on the challenges we face\, but would also like to discuss ideas to address these challenges with you.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-danny-driess-manuel-baum-katharina-hohlbaum/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220421T160000
DTEND;TZID=Europe/Berlin:20220421T173000
DTSTAMP:20260404T005857
CREATED:20220331T122502Z
LAST-MODIFIED:20240813T100329Z
UID:11896-1650556800-1650562200@www.scienceofintelligence.de
SUMMARY:Oliver Brock (Science of Intelligence)
DESCRIPTION:More details to follow
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-oliver-brock-3/
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220421T100000
DTEND;TZID=Europe/Berlin:20220421T110000
DTSTAMP:20260404T005857
CREATED:20220331T103204Z
LAST-MODIFIED:20250604T092542Z
UID:11882-1650535200-1650538800@www.scienceofintelligence.de
SUMMARY:C. jessica E. Metcalf\, “Evolving Immunity: Responding\, Learning\, Forgetting “
DESCRIPTION:Abstract: \nThe adaptive immune system must meet the challenge of a constantly changing pool of both dangerous and friendly microbes. Evolution has favored a system that can learn what responses work\, and forget responses that are unlikely to be needed again\, and can seem both remarkably intelligent and remarkably stupid. I will introduce the concepts evolutionary biologists might use to frame thinking about the evolution of immunity\, considering the pace of change in the environment\, and patterns of exposure over age
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-jessica-e-metcalf/
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220407T100000
DTEND;TZID=Europe/Berlin:20220407T110000
DTSTAMP:20260404T005857
CREATED:20220309T150435Z
LAST-MODIFIED:20240813T100340Z
UID:11789-1649325600-1649329200@www.scienceofintelligence.de
SUMMARY:Earlybird UNI-X
DESCRIPTION:Meet Philipp Semmer and Frederic du Bois-Reymond\, both partners at the venture capital firm Earlybird UNI-X. They will talk about funding for university spin-offs and why they believe that scientist and researcher should be more excited about entrepreneurship. They will also share their insights on deep tech companies becoming the next generation of unicorns. \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-earlybird-uni-x/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220331T100000
DTEND;TZID=Europe/Berlin:20220331T110000
DTSTAMP:20260404T005857
CREATED:20220221T120156Z
LAST-MODIFIED:20240813T100346Z
UID:11727-1648720800-1648724400@www.scienceofintelligence.de
SUMMARY:Global Scientific Exchange Program - Part II
DESCRIPTION:The talks will be held by Emmanuel Ousu Ahenkan and Tatiana Ngoli Moteu Marcos.\n \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-the-global-scientific-exchange-program-part-ii/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
ATTACH;FMTTYPE=image/jpeg:https://www.scienceofintelligence.de/wp-content/uploads/2022/02/romain-tordo-.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220324T100000
DTEND;TZID=Europe/Berlin:20220324T110000
DTSTAMP:20260404T005857
CREATED:20220221T112735Z
LAST-MODIFIED:20240813T100353Z
UID:11716-1648116000-1648119600@www.scienceofintelligence.de
SUMMARY:Global Scientific Exchange Program - Part I
DESCRIPTION:The talks will be held by Arinze Lawrence Folarin\, “My 175 days journey in Berlin”; Juliana T.C. Marcos “GSEP Internship: More than a research experience in neuromorphic vision at SCIoI”; and Kiprono Elijah Koech “Action Recognition in a Wildlife Setting – Taken a Leap”. \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-the-global-scientfic-program-part-i/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220317T100000
DTEND;TZID=Europe/Berlin:20220317T110000
DTSTAMP:20260404T005857
CREATED:20220110T145103Z
LAST-MODIFIED:20240813T100406Z
UID:11614-1647511200-1647514800@www.scienceofintelligence.de
SUMMARY:Henning Sprekeler (Science of Intelligence)\, "Architectural Design Principles for Intelligence: Modularity vs. Integration"
DESCRIPTION:Abstract: \nThe world is modular. So – intuitively – it seems clear that cognitive systems that deal with the world should benefit from a modular architecture. Simple or less important problems should use less cognitive resources than complex or important problems\, which – intuitively – may be achieved by changing the degree of modularity that a system uses. More modular\, less power consumption\, shallower processing; more integrated\, more power consumption\, deeper processing. Is this indeed the case? Is it beneficial for a cognitive system to regulate its degree of modularity depending on task demand? Does the human brain do this? How can a system determine which degree of modularity to use? In this talk\, we will first provide an update on the project\, and then invite everyone for discussion. \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-henning-sprekeler-architectural-design-principles-for-intelligence-modularity-vs-integration/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220310T160000
DTEND;TZID=Europe/Berlin:20220324T170000
DTSTAMP:20260404T005857
CREATED:20220221T112423Z
LAST-MODIFIED:20250604T092603Z
UID:11712-1646928000-1648141200@www.scienceofintelligence.de
SUMMARY:Mark Nawrot (North Dakota University)\, “Pursuit Eye Movements in the Perception of Depth From Motion Parallax”
DESCRIPTION:Abstract: \nThe brain performs critical calculations on visual information as we swiftly\, yet effortlessly\, navigate around objects and obstacles in our cluttered environment. Perhaps one of the most important calculations is for the perception of depth using the apparent relative motion of objects in the environment created by our own translation known as motion parallax. This presentation will illustrate how the visual system relies on the combination of retinal image motion with a pursuit eye movement signal to quickly determine the relative depths of objects using motion parallax. Relative depth is accurately modelled with a simple formula known as the motion-pursuit ratio. \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-afternoon-talk-with-mark-nawrot-north-dakota-university/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220303T160000
DTEND;TZID=Europe/Berlin:20220310T170000
DTSTAMP:20260404T005857
CREATED:20220221T112015Z
LAST-MODIFIED:20240813T100419Z
UID:11709-1646323200-1646931600@www.scienceofintelligence.de
SUMMARY:Chaz Firestone (Johns Hopkins University)\, "Seeing 'How'"
DESCRIPTION:Abstract: \nWhat is perception? The most intuitive and influential answer to this question has long been the one given by David Marr: To see the world is “to know what is where by looking” – to transform light into representations of objects and their features\, located somewhere ins pace. But is this all that perception delivers? Consider a figure composed by pieces of a puzzle; certainly you see some colored shapes\, as well as where they are located. Yet\, beyond this\, you may also see how they relate to one another: A\, say\, green piece can fit into the others\, and even create a new object with a shape of its own. \nIn this talk\, I present evidence that perception extracts relations between objects in much the same way as it processes the objects themselves\, and that these relations are abstract\, structured\, and surprisingly sophisticated. We’ll explore (and experience) the perception of several sophisticated relations between objects\, including combining\, supporting\, containing\, covering\, and fastening – as well as relational “illusions” in which objects appear to interact with mysteriously invisible entities. Together\, this work suggests that we see not only “what” and “where”\, but also “how”. \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-afternoon-talk-with-chaz-firestone/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220217T160000
DTEND;TZID=Europe/Berlin:20220217T173000
DTSTAMP:20260404T005857
CREATED:20211213T101644Z
LAST-MODIFIED:20250604T092613Z
UID:11367-1645113600-1645119000@www.scienceofintelligence.de
SUMMARY:Marcel Brass (Science of Intelligence)\, “The Cognitive Neuroscience of Implementing Novel Instructions”
DESCRIPTION:One fundamental difference between human and non-human animals is the ability of humans to instantaneously implement instructed behaviour. While other animals acquire new behaviour via effortful trial-and-error learning or extensive practice\, humans can implement novel behaviour based on instructions. This ability is presumably a key aspect of cultural learning. In my talk\, I will discuss the neuro-cognitive basis of implementing novel instructions. I will provide evidence for the hypothesis that instruction following requires a reformatting of symbolic/declarative representations into a procedural format. This procedural format is capacity limited and shows characteristics of a ‘prepared reflex’. I will discuss potential implications of these findings for artificial systems. \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-marcel-brass/
CATEGORIES:PI Lecture
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220217T100000
DTEND;TZID=Europe/Berlin:20220217T110000
DTSTAMP:20260404T005857
CREATED:20220117T152745Z
LAST-MODIFIED:20240813T100442Z
UID:11627-1645092000-1645095600@www.scienceofintelligence.de
SUMMARY:Yuejiang Liu (EPFL University)\, "Learning Beyond the IID Setting with Robust and Adaptive Representations"
DESCRIPTION:Abstract \nMachine learning models have achieved stunning successes in the IID setting. Yet\, beyond this setting\, existing models still suffer from two grand challenges: brittle under covariate shift and inefficient for knowledge transfer. In this talk\, I will introduce three approaches to tackle these challenges\, namely self-supervised learning\, causal representation learning\, and test-time training. More specifically\, I will share our recent findings on (i) incorporating prior knowledge of negative examples into representation learning\, (ii) promoting causal invariance and structure by making use of data from multiple domains\, (iii) exploiting extra information besides model parameters for effective test-time adaptation. I will show how these techniques enable deep neural networks to more robustly generalize and efficiently adapt to new environments in the motion or vision context. I will finally discuss the implications of these results on the design\, training\, and deployment of deep models for domain generalization and adaptation. Comments and feedback are more than welcome. \n  \nPaper Links \nSocial NCE: Contrastive Learning of Socially-Aware Motion Representations\, ICCV’21 \nTTT++: When Does Self-Supervised Test-Time Training Fail or Thrive? NeurIPS’21 \nCollaborative Sampling in Generative Adversarial Networks\, AAAI’20 \nTowards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective\, Preprint’21 (under review) \n  \nBio \nYuejiang Liu is a PhD student at EPFL\, advised by Alexandre Alahi. His research interests center around representation learning and its applications to autonomous agents. He is particularly excited about unsupervised learning for robust generalization and efficient adaptation. \n  \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-yuejiang-liu-epfl-university-learning-beyond-the-iid-setting-with-robust-and-adaptive-representations/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220210T100000
DTEND;TZID=Europe/Berlin:20220210T110000
DTSTAMP:20260404T005857
CREATED:20220131T105742Z
LAST-MODIFIED:20250604T092633Z
UID:11655-1644487200-1644490800@www.scienceofintelligence.de
SUMMARY:Mathilde Caron\, “Self-Supervised Learning: How To Learn From Images Without Human Annotations”
DESCRIPTION:Abstract:\nSelf-supervised learning (SSL) consists in training neural network systems without using any human annotations. Typically\, neural networks require large amounts of annotated data\, which have limited their applications in fields where accessing these annotations is expensive or difficult. Moreover\, manual annotations are biased towards a specific task and towards the annotator’s own biases\, which can result in noisy and unreliable signals. Training systems without annotations could lead to better\, more generic and robust representations. In this talk\, I will present different contributions to the fast-growing field of SSL conducted during my PhD. I will finish by discussing open questions and challenges for the future of SSL. \n  \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-mathilde-caron/
LOCATION:On Zoom
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220127T100000
DTEND;TZID=Europe/Berlin:20220127T110000
DTSTAMP:20260404T005857
CREATED:20211221T062119Z
LAST-MODIFIED:20240813T100506Z
UID:11451-1643277600-1643281200@www.scienceofintelligence.de
SUMMARY:Dimitri Coelho Mollo (Science of Intelligence)\, "The Concept of Intelligence - A progress report"
DESCRIPTION:In this presentation\, I will report on the results of my work so far on the concept of intelligence\, summarising some of the main points and proposals made\, and opening the floor for open discussion about the topic. \n  \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/thursday-morning-talk-with-dimitri-coelho-mollo-scioi-the-concept-of-intelligence-a-progress-report/
CATEGORIES:Thursday Morning Talk
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220120T160000
DTEND;TZID=Europe/Berlin:20220120T173000
DTSTAMP:20260404T005857
CREATED:20211213T101428Z
LAST-MODIFIED:20250604T092649Z
UID:11363-1642694400-1642699800@www.scienceofintelligence.de
SUMMARY:Henning Sprekeler (Science of Intelligence)\, “Harnessing Machine Learning To Model Biological Systems”
DESCRIPTION:“Harnessing machine learning to model biological systems” \nAbstract:\nClassically\, models of biological systems follow two different approaches. In bottom-up approaches\, biological data are used to constrain a phenomenological model of the system in question\, and the model is the studied to identify potential functions or potential consequences of the observations that flow into the model. Top-down approaches\, on the other hand\, start with a presumed function and ask how this question could be implemented in a biologically inspired architecture. Both approaches have been very successful\, but both suffer from their own kind of problems. Bottom-up approaches often suffer from (potentially many) parameters that cannot be sufficiently constrained from data. Top-down approaches were in the past hard to combine with the complexities of the biological system in question. Recent advances in machine learning (ML) software now offer a promising hybrid approach\, because they allow to optimize not only neural nets\, but basically any dynamical system by gradient descent. I will offer a few examples how we have used ML to study biological systems\, ranging from behavioral level (nature vs. nurture) down to the level of neural circuits (role of feedback for invariant sensory processing\, and\, time permitting\, the function of different cell classes). \nThe Zoom Link will be sent the day before the lecture.
URL:https://www.scienceofintelligence.de/event/pi-lecture-with-henning-sprekeler/
CATEGORIES:PI Lecture
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220120T100000
DTEND;TZID=Europe/Berlin:20220120T110000
DTSTAMP:20260404T005857
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220106T160000
DTEND;TZID=Europe/Berlin:20220106T173000
DTSTAMP:20260404T005857
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20220106T100000
DTEND;TZID=Europe/Berlin:20220106T110000
DTSTAMP:20260404T005857
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20211223T100000
DTEND;TZID=Europe/Berlin:20211223T110000
DTSTAMP:20260404T005857
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20211216T160000
DTEND;TZID=Europe/Berlin:20211216T173000
DTSTAMP:20260404T005857
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:20211216T100000
DTEND;TZID=Europe/Berlin:20211216T110000
DTSTAMP:20260404T005857
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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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20211209T160000
DTEND;TZID=Europe/Berlin:20211209T173000
DTSTAMP:20260404T005857
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20211209T100000
DTEND;TZID=Europe/Berlin:20211216T110000
DTSTAMP:20260404T005857
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20211202T160000
DTEND;TZID=Europe/Berlin:20211202T173000
DTSTAMP:20260404T005857
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/
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20211202T100000
DTEND;TZID=Europe/Berlin:20211202T110000
DTSTAMP:20260404T005857
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20211125T070000
DTEND;TZID=Europe/Berlin:20211125T203000
DTSTAMP:20260404T005857
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20211110T180000
DTEND;TZID=Europe/Berlin:20211110T190000
DTSTAMP:20260404T005857
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20211108T180000
DTEND;TZID=Europe/Berlin:20211108T190000
DTSTAMP:20260404T005857
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20211107T180000
DTEND;TZID=Europe/Berlin:20211107T190000
DTSTAMP:20260404T005857
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20211106T120000
DTEND;TZID=Europe/Berlin:20211106T133000
DTSTAMP:20260404T005857
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
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20211102T060000
DTEND;TZID=Europe/Berlin:20211102T190000
DTSTAMP:20260404T005857
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
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END:VEVENT
END:VCALENDAR