Our Vision
Inspired by physics and complex systems theory, we believe general intelligence should emerge from simple, interconnected systems capable of compounding into rich, open-ended behavior, rather than from narrow hand-engineered heuristics.
Current Research
Emergent Models
Who said intelligence must emerge from large neural networks? Emergent Models explores whether it can instead arise from simple dynamical systems governed by minimal rules, such as cellular automata.
Reasoning Models
Exploring methods for building models with stronger reasoning and abstraction capabilities, together with improved training algorithms that combine the efficiency of backpropagation with the black-box-style generality of evolutionary algorithms.
Applied Research
Working with organizations to implement better strategies for training and building AI models, exploring unconventional, tailored solutions for our customers.
Our Team
Giacomo Bocchese
Founder
AI/ML Engineer & Researcher
Nicola Giacobbo
Co-Founder, Research
PhD & Postdoc in Astronomy, Software developer
Mattia Fioranzato
Founding Engineer
Full stack developer, AI enthusiast
Frequently Asked Questions
What is Emergent Computing?
Emergent Computing is an AI research lab focused on building models with better reasoning capabilities, inspired by the principles of ALife and Emergence.
What does the lab work on?
The lab currently studies Emergent Models, an alternative machine learning framework based on reasoning over cellular automata substrates. It also investigates the use of evolution strategies to improve LLM reasoning, and more broadly explores unconventional computing and genetic algorithms as foundations for building more capable AI systems.
Can researchers collaborate?
Yes. We welcome conversations with researchers, builders, and aligned organizations interested in collaboration, affiliate roles, or shared experiments.
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Contact Us
We welcome discussions with makers, researchers, and organizations interested in advancing the field of intelligence research.