deCYPher

The deCYPher project brings together artificial intelligence, machine learning techniques and synthetic biology to go beyond traditional extraction methods of flavonoids and terpenoids. These plant compounds are used for important products, such as pharmaceuticals and nutraceuticals. As the current extraction is expensive and limited to just a few compounds, deCYPher’s objective is to develop a bio-based production alternative of plant secondary metabolites, which aims to ensure a regular supply in a more sustainable, economical, and efficient way.

Read more about the project on our website.

Events

Night of Science: Bioart film screening - Where art, science and technology meet

SOLU Space

Join us for an evening of films by artists working with artificial intelligence (AI), machine learning (ML) and synthetic biology (synbio).

deCYPher lab II

10 — 12 Jun 2025

Ghent

Bioart Society hosts the second of three labs within the deCYPher project in Ghent with the project partners at the Centre for Synthetic Biology (Ghent University), ML6 and Wageningen University & Research.

deCYPher lab: on the ethics and aesthetics of linking AI/ML & SynBio

Aalto Design Factory

This symposium brings together artists, scientist and other practitioners to stimulate deeper reflection on the convergence of artificial intelligence, machine learning techniques and synthetic biology.

deCYPher and Bioindustry 4.0 artists...

HSURAE, Laura Elidedt Rodriguez and the collective of Kristof De Clercq, Roberta Gigante and Christina Stadlbauer will be joining Bioart Society’s deCYPher project. Joining the sister project Bioindustry 4.0 will be Špela Petrič.

6 February 2025

Open call for HORIZON artists in...

We host an open call for 4 fully funded residencies across the two European Union Horizon projects deCYPher and Bioindustry 4.0. Three artists will be selected to participate in the deCYPher project and one in the Bioindustry 4.0 project.

The launch of deCYPher

The Bioart Society is excited to launch a new European collaboration project, which will develop a standardised platform to profoundly implement artificial intelligence (AI) and machine learning (ML) techniques to overcome current hurdles in industrial biotechnology and truly unlock the full potential in biotech engineering.

1 December 2023