Academic finance literature naively applying machine learning (ML) and artificial neural network (ANN) techniques to market price prediction is a dumb farce. While this probably won’t surprise anyone who has done a paper replication in the past 6+ years, despite all of the advancements in algorithms and hardware, and despite all of the new domains ANN’s have conquered, financial academics still insist on throwing feces at the wall. In fact, their simian proclivities might be getting worse.
Can computers be creative? That’s a question bordering on the philosophical, but artificial intelligence (AI) can certainly make music and artwork that people find pleasing. Last year, Google launched Magenta, a research project aimed at pushing the limits of what AI can do in the arts. Science spoke with Douglas Eck, the team’s lead in San Francisco, California, about the past, present, and future of creative AI. This interview has been edited for brevity and clarity.
Data Links is a periodic blog post published on Sundays (specific time may vary) which contains interesting links about data science, machine learning and related topics. You can subscribe to it using the general blog RSS feed or this one, which only contains these articles, if you are not interested in other things I might publish.
Have you read an article you liked and would you like to suggest it for the next issue? Just contact me!