From intelligence science to innovative technology.
Bridging the divide between intelligence science and AI technology at the service of human society.
ABOUT US
Machine Learning, Neural Networks, Evolutionary Computation, Vision, Robotics, Information Theory, Optimization, Control Theory, Intrinsic Motivation, Natural Language Processing.
Consciousness, Enaction, Psychoinformatics, Knowledge Representation, Philosophy of Mind, Phenomenology, Developmental Robotics, Higher Brain Function, Cognitive Neuropsychology, Human-Machine Interface.
Neuroinformatics, Brain Decoding, Brain-Machine Interface, Computational Neuroscience, Neuroanatomy, Neurocomputational Models of Social Functions, Human fMRI Experiments, Vision.
Biological Networks, Artificial Life, Open-Ended Evolution, Bioinformatics, Computational Biology, Game Theory, Agent-Based Modeling.
Complex Systems, Knowledge Discovery, Novelty Search, Computational Thermodynamics, Dynamical Systems, Self-Organized Criticality, Complex Networks, Information Theory, Category Theory.
Collective Intelligence, Swarm AI, Group Dynamics, Social Cognition, Network Theory, Distributed Machine Learning, Multiagent Simulation, Unconventional Computing.
Director of Research
Olaf leverages his experience from artificial life, cognitive sciences, and AI, to build a new approach to studying intelligence sciences.
Research Advisor
Antoine’s expertise in deep learning, cognitive neuroscience, and developmental robotics, consolidates our vision for technology and industry.
Research Associate
Nicholas applies his background in condensed matter physics to researching artificial intelligence and open-endedness in complex systems.
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