Da Vinci Labs is launching LEONARDO REBOOTED, a grant to support the production of Art & Science projects. Aimed to artists and artistic collectives who produce ground-breaking artworks at the intersection of Art and Science.
Da Vinci Labs aims to engage critical contemporary issues and topics, and promote the experimentation and innovation of Art & Science practices. The only restriction of this production is that the final projects must be presented in digital or video format, in other words, projects that do not require a physical location.
This year’s submission categories are:
Artificial Intelligence and Quantum:
Artificial intelligence (AI) has performed breathtaking feats over the past few years. From the shockingly inventive strategy used by AlphaGo to defeat the world champion in the ancient game of Go to the eerily human-like texts produced by GPT-3, there is no doubt that AI has reached new heights. Now, a new computing paradigm is coming of age—quantum computing (QC). With QC, we’ll be able to tackle enormously complex problems with a gentle environmental footprint. Together, AI and QC will usher in a new computation revolution, allowing us to solve the unsolvable.
We have reached a new level of understanding of biology’s basic principles. Now, we can redesign biological devices and systems to harness their unique capabilities for solving some of humanity’s critical challenges. The field of synthetic biology opens exciting avenues for human endeavour and invites reflection on questions about life and our relationship with nature.
The selected proposal in each of the two categories will receive a total sum of €5,000 (split in two payments). The grant should cover the artist fee and production costs. The selected projects will manage the production directly, presenting a series of reports to the organization. The grants’ winners will transfer in exclusive the exhibition and distribution rights of the artwork to DA VINCI Labs with no time limit and in any territorial area.
Further information: quoartis.org