Palina Bartashevich and David Bierbach (Science of Intelligence), “Collective Air Breathing In the Largest Freshwater Fish on Earth”
Thursday Morning TalkMore details to follow. Photo by David Clode on Unsplash.
12 events found.
Thursday Morning Talk
Events
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SCIoI, Marchstraße 23, 10587 Berlin, Room 2.057
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Max Ploner (Science of Intelligence), “Evaluating Sample Efficiency: How Language Models Learn to Recall Facts from Data”
Thursday Morning TalkSCIoI, Marchstraße 23, 10587 Berlin, Room 2.057More details to follow. Image created with DALL-E by Maria Ott.
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Raina Zakir (Université Libre De Bruxelles), “Robust Decision-Making in Minimalistic Robot Swarms Under Social Noise”
Thursday Morning TalkSCIoI, Marchstraße 23, 10587 Berlin, Room 2.057Abstract Minimalistic robot swarms hold great promise for applications in healthcare, disaster response, and environmental monitoring. A key challenge lies in enabling these robots to rapidly and reliably reach consensus
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Matthias Nau (Vrije Universiteit Amsterdam), “Revealing General Principles Underlying Active Vision and Memory”
Thursday Morning TalkSCIoI, Marchstraße 23, 10587 Berlin, Room 2.057Abstract: Cognitive neuroscience seeks theories that jointly explain behavioral, neural, and mental states. The dominant approach is to use specialized tasks designed to optimally probe a concept of interest (e.g.,
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POSTPONED: Alican Mertan (University of Vermont), “Morphological Cognition: Evolving Robots Exhibiting Cognitive Behavior without Abstract Controllers”
Thursday Morning TalkSCIoI, Marchstraße 23, 10587 Berlin, Room 2.057With the rise of modern deep learning, neural networks have become an essential part of virtually every artificial intelligence system, making it difficult to imagine different models for intelligent behavior.
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Asieh Daneshi (Science of Intelligence), “Is risky behavior contagious?”
Thursday Morning TalkMore details to follow. Image created with DALL-E by Maria Ott.
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Simon Vock (Charité Universitätsmedizin), “Critical dynamics governs deep learning”
Thursday Morning TalkMarchstraße 23, 10587 Berlin, Room 2.057Artificial intelligence has advanced rapidly through larger and deeper neural networks, yet fundamental questions remain about how to optimize network dynamics for performance and adaptability. This study shows that deep
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Anna Lange and Helene Ackermann (Science of Intelligence), “Adaptivity in Learner-Teacher Interaction”
Thursday Morning TalkSCIoI, Marchstraße 23, 10587 Berlin, Room 2.057More details to follow.
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Félicie Dhellemmes and Valerii Chirkov (Science of Intelligence), “Navigating the Explore-Exploit Trade Off in Collective Search”
Thursday Morning TalkSCIoI, Marchstraße 23, 10587 Berlin, Room 2.057More details to follow. Photo by Prince Patel on Unsplash.
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Dimitri Coelho Mollo (Umeå University), “Functional Ontologies for AI systems: Tasks, Mechanisms, and Capacities”
Thursday Morning TalkSCIoI, Marchstraße 23, 10587 Berlin, Room 2.057Abstract The size and complexity of current Deep Artificial Neural Networks pose remarkable challenges to our attempts of explaining and understanding their workings. In this talk, I put forward a
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Elena Merdjanovska (Science of Intelligence), “Efficient Model Learning From Data With Partially Incorrect Labels: Learning From Noisy Labels”
Thursday Morning TalkSCIoI, Marchstraße 23, 10587 Berlin, Room 2.057More details to follow. Image created with DALL-E by Maria Ott.
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Sole Traverso (Science of Intelligence), “Symmetry-aware Lifelong Bayesian Reinforcement Learning: Finding the Loo Faster”
Thursday Morning TalkSCIoI, Marchstraße 23, 10587 Berlin, Room 2.057More details to follow. Image created with DALL-E by Maria Ott.
