Dr. Jorge Davila-Chacon has ample experience in data science projects involving text, audio and visual data. He has designed Reinforcement Learning models that learn by direct customer interaction and generative models for the translation of image domains. Recently, he collaborated with the project Convergence which won the top prize for 2021 at the Prix Ars Electronica, the world’s most time-honored media arts competition. Jorge is Lecturer at the Hamburg School of Business Administration (HSBA) and is co-founder of Heldenkombinat Technologies GmbH, where he designs and implements Al solutions for the industry. Jorge has participated in robotics and neuroscience programs with the Massachusetts Institute of Technology (MIT), Tsinghua University (Beijing), the Stem Cell and Brain Research Institute (CNRS, France), the Speech, Music and Hearing Institute (KTH, Sweden) and the University of Hyderabad. He is an invited reviewer for the Journal of Computer Speech and Language, the journal Robotics and has been an organizing committee chair for ICANN, the European flagship conference for artificial neural networks.
Reading Time: 7minutes As an artificial intelligence engineer, you’ll have had the opportunity to work across industries. Artificial intelligence and machine learning can be applied to a variety of data sources, including text, image and audio, in everything from fintech to experimental music compositions. Deep learning algorithms are becoming more powerful every day; for example, new generative models […]