How music led Daniel DeLeon to study the ocean with machine learning

Daniel DeLeon never imagined he would use machine learning to study endangered whales.

But a life-long passion for music and fascination with the science of sound led him to an internship at the Monterey Bay Aquarium Research Institute, where he used TensorFlow, Google’s open-source machine learning tool, to make breakthroughs identifying endangered whale calls.

Learn more about Daniel’s remarkable journey at http://g.co/soundwaves
and at Google stories