Robot doctors and oenologists

The quality of each wine is distinct and depends on a confluence of factors, including flavour, aroma, colour, etc. At the same time, it also relies on the specific natural and climatic conditions of the location where the grapes are grown. What if AI could be used to predict the quality of wine from a harvest? Or to predict different fucture outcomes, such as which way a court will rule? Dimitris Bertsimas, faculty lead for entrepreneurship at the MIT Jameel Clinic, the epicentre of healthcare and AI at the Massachusetts Institute of Technology, along with his research team, has developed machine learning systems that makes it easier to choose wine as well as predict other future outcomes. He is set to discuss they ways AI can be applied and what changes it may bring to daily life and to every field of the sciences at an event organised by the Hellenic Institute of Advanced Studies in Athens on 3-7 July.