Our Vision
Inspired by physics and complex systems theory, we believe more general intelligence should emerge from simple, interconnected systems capable of compounding into rich, open-ended behavior, rather than relying on narrow surface-level workarounds.
Current Research
Evolutionary Algorithms
Exploring the use of evolution strategies and genetic algorithms for training AI models.
Emergent Models
A foundational alternative to neural networks based on cellular automata and evolutionary processes.
Applied Research
Translating research ideas into concrete systems, prototypes, and experiments.
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.