| About the presentation: |
|---|
|
A computer vision algorithm inspired by the behavior of the slime mould Physarum Polycephalum. It uses the Slime Mould Algorithm instead of the classical machine learning model. This algorithm challenges the traditional forms of computing by creating one that seeks to emulate nature. It is a metaheuristic algorithm designed to be decentralized, random, and non-binary, inspired by the non-binary, decentralized nature of slime mould. It combats the brain-centered view of intelligence. The aaardm.py algorithm thrives with small data, adapting through exploration rather than relying on large datasets. This project represents a more inclusive and ecological way of doing technology. It showcases how computing can evolve by learning from nature, highlighting the effectiveness of randomness and decentralized decision-making in solving complex problems.
aaardm.py, https://github.com/matildee3/slime-machine.git | About the presenter: |
| I was born in 1999. I am based in Barcelona. Bachelor in Statistics. Postgraduate Diploma in AI with Deep Learning. Official Master Degree in Design Research. reader, data analyst, computer user, latrinalia artist, explorer, cat mom, visitor, student, fiber artist, AI researcher, skydiver, sister, friend, daughter. Currently working at Domestic Data Streamers. |
|