How Deep Learning is Revolutionising Design and Creativity
The accelerating impact of Deep Learning on creative professions in arts, engineering, and sciences surprises even the ML experts these days. We have already witnessed the sudden emergence of text-to-image models changing the landscape of visual arts. Deep Learning is poised to revolutionise the way we imagine, design, and make everything. Given so many challenges we are facing on this planet, that is mostly a good thing. With different examples from recent research at Autodesk for different industries such as Design, Architecture, and Engineering, I demonstrate how Deep Learning can not only enable computers to take care of the repetitive and mundane tasks in many creative jobs, but also inspire and augment the creativity and imagination of the creators.
Hooman Shayani is a Senior Principal AI Research Scientist and Research Manager at Autodesk AI Lab. He is also an Honorary Professor at UCL CS Department. He joined Autodesk Research when Autodesk acquired one of the start-ups he has co-founded. Since then, he focused his research on generative design, and application of deep learning in design and manufacturing. He has papers and patents on Creative AI, generative models, spiking neural networks, evolutionary and bio-inspired computing, evolvable hardware, additive manufacturing, and generative design.