Radically Reimagining
the Future of Intelligence

We're building innovative, compassionate, and ethical AI technologies that support, elevate, and benefit humanity.

A Global Network of Scientists Pursuing Fundamental Intelligence.

We're a diverse and wildly interdisciplinary group of scientists pursuing fundamental intelligence research at the frontiers of human knowledge.
University of TokyoELSICenter for Human Nature, Artificial Intelligence, and Neuroscience (CHAIN)Monash UniversityHokkaido UniversityTokyo Institute of Technology
CROSS ROADS SPEAKER SERIES
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Prof. Guillaume Dumas, PhD
NEURO AI

From Social Physiology to Social Neuro-AI

In this talk, Prof. Guillaume Dumas illustrate how we can operationalize a "social physiology" modeling human cognition as a multi-scale complex system that interfaces biological and social processes.
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Prof. Mizuki Oka
AI IN JAPAN

Creating a Research Society for Artificial Life in Japan

Prof. Mizuki Oka talks about creating a forum for active information sharing among researchers, and promoting artificial life research in Japan.
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Dr. Joel Lehman
HUMAN AI

Machine Love

In this talk, Dr. Joel Lehman discusses the implications of humanity being increasingly filtered though machine learning systems that are highly efficient in terms of economic value, but lack the capacity to understand, care about, or love us.
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Dr. Ryota Kanai
CONSCIOUSNESS

Consciousness and Intelligence

What is the biological advantage of having consciousness? Dr. Kanai proposes that a core function of consciousness be the ability to internally generate representations of events possibly detached from the current sensory input.
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Prof. Julian Togelius
AGI

Artificial General Intelligence at the End of the Rainbow Prof. Julian Togelius

What do we mean by Artificial General Intelligence? Prof. Togelius argues that we don’t actually know, because we’ve never  seen it in either natural or artificial minds.
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RECENT BLOG POSTS
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Research

Subjective Open-Endedness

What is it about living physical matter (as opposed to non-living) that “compels” it to evolve into a seemingly endless supply of seen and unseen species?
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Emotion-Inducing AI Generative Music: A Way to Feel However You Want

Hi! I’m Chris, a 1st-year electrical and computer engineering student at the University of Texas at Austin interested in the applications of AI for neuroengineering and music. I’ll be discussing one potential application of AI towards music and emotions I explored this past summer.
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On My Mind
A Science Podcast

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RECENT RESEARCH
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Biosystems

Towards an Ethics of Autopoietic Technology: Stress, Care, and Intelligence

Witkowski, O., Doctor, T., Solomonova, E., Duane, B., & Levin, M.
NeurIPS 2022: Advances in Neural Information Processing Systems

CLIPdraw: Exploring Text-to-Drawing Synthesis Through Language-Image Encoders

Frans, K., Soros, L. B., & Witkowski, O.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases

Interpreting Dynamical Systems as Bayesian Reasoners

Virgo, N., Biehl, M., & McGregor, S.
Nature

Impacts of Speciation and Extinction Measured by an Evolutionary Decay Clock

Cuthill J. F. H., Guttenberg, N., & Budd G. E.
ALIFE 2022: The 2022 Conference on Artificial Life

Ethics of Artificial Life: The Moral Status of Life as It Could Be

Witkowski, O., & Schwitzgebel, E.
Frontiers in Neuroscience

Cross-Subject EEG-Based Emotion Recognition through Neural Networks with Stratified Normalization

Fdez, J., Guttenberg, N., Witkowski, O., & Pasquali, A.

We’re focused on 6 major fields of research:

Machine Intelligence

Machine Intelligence

Machine Learning, Neural Networks, Evolutionary Computation, Vision, Robotics, Information Theory, Optimization, Control Theory, Intrinsic Motivation, Natural Language Processing.

Human Intelligence

Human Intelligence

Consciousness, Enaction, Psychoinformatics, Knowledge Representation, Philosophy of Mind, Phenomenology, Developmental Robotics, Higher Brain Function, Cognitive Neuropsychology, Human-Machine Interface.

Brain Intelligence

Brain Intelligence

Neuroinformatics, Brain Decoding, Brain-Machine Interface, Computational Neuroscience, Neuroanatomy, Neurocomputational Models of Social Functions, Human fMRI Experiments, Vision.

Life Intelligence

Life Intelligence

Biological Networks, Artificial Life, Open-Ended Evolution, Bioinformatics, Computational Biology, Game Theory, Agent-Based Modeling.

Complex Intelligence

Complex Intelligence

Complex Systems, Knowledge Discovery, Novelty Search, Computational Thermodynamics, Dynamical Systems, Self-Organized Criticality, Complex Networks, Information Theory, Category Theory.

Social Intelligence

Social Intelligence

Collective Intelligence, Swarm AI, Group Dynamics, Social Cognition, Network Theory, Distributed Machine Learning, Multiagent Simulation, Unconventional Computing.

Our research projects

Open-Endedness

Open-Endedness

Theory of Agency

Theory of Agency

Collective Learning

Collective Learning

Neuroscience of Intelligence

Neuroscience of Intelligence

OUR TEAM

With over four decades of combined experience, our leadership team is at the forefront of academic research and cutting-edge industrial solutions.

Olaf Witkowski, PhD

Olaf Witkowski, PhD

Director of Research

Olaf leverages his experience from artificial life, cognitive sciences, and AI, to build a new approach to studying intelligence sciences.

Antoine Pasquali, PhD

Antoine Pasquali, PhD

Research Advisor

Antoine’s expertise in deep learning, cognitive neuroscience, and developmental robotics, consolidates our vision for technology and industry.

Nicholas Guttenberg

Nicholas Guttenberg, PhD

Research Associate

Nicholas applies his background in condensed matter physics to researching artificial intelligence and open-endedness in complex systems.

Radically Reimagining
the Future of Intelligence

CONTACT
〒604-8206
302, 菊三ビル 112, Machigashiracho,
Nakagyo Ward, Kyoto, Japan
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