Radically Reimagining
the Future of Intelligence

A historical record of interdisciplinary research into intelligence, artificial life, and AI.

A Global Research Institute · 2019–2026

Created and directed by Olaf Witkowski, Cross Labs was established by Cross Compass in spring 2019. Its researchers and collaborators explored intelligence across biological, artificial, and hybrid systems. This archive preserves their work and original credits.
University of TokyoELSICenter for Human Nature, Artificial Intelligence, and Neuroscience (CHAIN)Monash UniversityHokkaido UniversityTokyo Institute of Technology
CROSS ROADS SPEAKER SERIES
Fernando Rosas
Emergence
Dr. Fernando Rosas

The Many Faces of Emergence

Emergence is one of the most fascinating and challenging aspects of complex systems, being also a controversial topic featuring long-standing debates and disagreements.
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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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Dr. Lana Sinapayen
RESEARCH METHODS
Dr. Lana Sinapayen

Failure as a Research Tool

Dr. Lana Sinapayen presents “Failure as a Research Tool” at Cross Labs’ first Innovation Science Workshop.
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Dr. Joel Lehman
HUMAN AI
Dr. Joel Lehman

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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FROM THE BLOG ARCHIVE
RESEARCH ARCHIVE

Historical research across six major fields

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.