
AI for Science - group.ntt
AI gets a bad rap. And it’s easy to see why—a lot of the headlines we read tend to be about the robots taking human jobs, questionable levels of bot customer service, the amount of power it consumes, and the eventual moment when Skynet becomes self-aware and decides to do away with messy humans. It can be a bit hysterical. What Does AI Do? Artificial intelligence writes things. It makes pictures and videos. It summarizes documents. It can look through huge reams of information and pick out the answers to questions we pose it. But one of the major criticisms of AI in recent years has been its “black box” nature; it can sometimes come up with answers to questions without us being able to understand how or why. What do we want AI to actually do? Can it help us discover new materials? Build better electronics? Use energy more efficiently? Help scientists solve problems that might otherwise take them a really long time? That’s the idea behind “AI for Science,” in which AI is used as part of the scientific process itself. Researchers at NTT have demonstrated one way this could work. Collaborating With AIA recent experiment involved a semiconductor called beta-gallium oxide, or β-Ga₂O₃.















