MIT researchers have developed a machine-learning technique that accurately captures and models the underlying acoustics of a scene from only a limited number of sound recordings. In this image, a sound emitter is marked by a red dot. The colors show the sound volume if a listener were to stand at different locations — yellow is louder and blue is quieter.
Yilun Du, a PhD student and MIT CSAIL affiliate, discusses the potential applications of generative art beyond the explosion of images that put the web into creative hysterics.
Writing for The Hill, Prof. Daniela Rus, director of CSAIL, explores how automation could ease the supply chain crisis. “Automation in these settings doesn’t mean replacing employees, but developing more robust inventory management software and using systems like scanners and conveyors that make our jobs easier,” writes Rus. “This would enable warehouse workers to focus on other more detail-oriented roles, from overseeing the operation of forklifts to improving the efficiencies of distribution centers.”
