On an afternoon in early April, Tommi Jaakkola is pacing at the front of the vast auditorium that is 26-100. The chalkboards behind him are covered with equations. Jaakkola looks relaxed in a short-sleeved black shirt and jeans, and gestures to the board. "What is the answer here?" he asks the 500 MIT students before him. "If you answer, you get a chocolate. If nobody answers, I get one -- because I knew the answer and you didn't." The room erupts in laugher.
The overarching term "artificial intelligence (AI)" is a hub with many spokes. One of the most exciting of these from a business perspective is machine learning. As I explained in my first blog in the series, at its most basic, machine learning involves'teaching' a computer to learn and change when given a vast amount of data. The computer is not necessarily explicitly programmed for these changes, but instead learns to spot patterns and make connections. Therefore, the machine learns (get it?)
Artificial intelligence (AI) is a budding field. Nowadays, many businesses are trying to figure out how to use it to their advantage. Indeed, AI can help reduce operational costs, improve efficiency, generate revenue, and enhance customer experiences. In an article for the Register, Danny Bradbury says that there's a chasm between many current AI deployments and a mature approach with sensible business benefits, and companies need to know how to get from here to there.
Last year, director Oscar Sharp and AI researcher Ross Goodwin released the stunningly weird short film Sunspring. It was a sci-fi tale written entirely by an algorithm that eventually named itself Benjamin. Now the two humans have teamed up with Benjamin again to create a follow-up movie, It's No Game, about what happens when AI gets mixed up in an impending Hollywood writers' strike. Ars is excited to debut the movie here, so go ahead and watch. We also talked to the film cast and creators about what it's like to work with an AI.