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One cannot, in all their seriousness, comprehend what went into writing the “Requiem for a dream” or painting the frescoes on the ceiling of the Sistine Chapel. Art is a consequence; of intelligence and experience. But, what happens when this intelligence is augmented with an external entity, an algorithm?
Artificial intelligence has intruded into the space of creativity, the final frontier of the human intellect, through algorithms such as Generative Adversarial Networks (GANs). GANs have become fertile tools for artistic exploration. Artists such as Refik Anadol, Robbie Barrat, Sofia Crespo, Mario Klingemann, Jason Salavon, Helena Sarin, and Mike Tyka generate fascinating imagery with models learned from natural imagery.
Machine learning as a platform to generate art through unprecedented means, has been gaining traction. Whether we like it or not, AI has found its way into painting, architectural designs, making music and more. AI-generated art forms will attract its own tribe. For this to flourish, there is no better place than ML conferences.
The most popular conference Neural Information Processing Systems or NeurIPS, now in its 34th year, has been encouraging machine learning in creativity and design for the past four years through workshops.
And the result is this:
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