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Simple electronics for intelligent tasks

Affordable, high-performance intelligent electronics accessible to everyone.

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Grucio

Data Processing hardware
with neuromorphic
capabilities

A deep tech platform based on the receptron model (a generalisation of the perceptron) on a board

How it works

The board integrates a chip hosting a network of receptrons that allows to:

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Learn

Sensing units and/or the user provide analog inputs. No training typical of ANN is needed.

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Classify

Data classification and pattern recognition is performed thanks to the intrinsic multi-dimensional selective capabilities of the receptron.

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Avoiding

The hardware learns from external input and self-reconfigures without catastrophic forgetting.

Designed for

For education, makers, and professionals in fields like robotics, IoT, home automation, and industrial applications.

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Use cases

Real-world applications that show GRUCIO’s versatility.

Intelligent automation and robotics

Perception-action Loops

Self-reconfigurable electronics

Multi-class classification

The people behind

A group of researchers from the University of Milan, united by their passion for cybernetics and neuromorphic engineering

Paolo Milani

Paolo Milani

Serial Entrepreneur

Professor

Department of Physics,

University of Milano

Marco Potenza

Marco Potenza

Serial Entrepreneur

Professor

Department of Physics,

University of Milano

Francesca Borghi

Francesca Borghi

Tenure Track Researcher

Department of Physics,

University of Milano

Bruno Paroli

Bruno Paroli

Professor

Department of Physics,

University of Milano

Get in touch

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