Associate Professor of Physics Dr. Scott Hawley was recently named as winner of Art+Logic’s software Incubator Lab for his submission of a machine-learning based app that uses neural networks and Deep Learning to train systems to help classify, organize and query datasets. Hawley’s project will allow musicians and producers the ability to train their systems to use their own tags and criteria.
“I’m honored and excited to have the opportunity to work with Art+Logic,” Hawley said in an article published on Art+Logic’s website. “They’re a company that combines high competence with an ease of working together. Together, we’re partnering to put the training of ‘artificially intelligent’ audio processing into the hands of individual composers and producers. Art+Logic have become the key to making my idea a reality!”
Hawley’s project will receive a working prototype created by Art+Logic’s designers and developers (valued at more than $50,000), ongoing support during the capital raising process, an opportunity to have the full version built by Art+Logic and the opportunity to work with Art+Logic strategists to refine their concept and marketing strategy.
The idea for this project began in Nashville’s ASPIRE Research Co-op, a gathering dedicated to ‘bringing our innovative audio ideas to life.’ You can follow the progress of the project here.