PROFESSOR BRUCE BASSETT

Machine learning and computational science are rapidly becoming indispensable as we enter an era of astronomy in which no human beings can look at all the data. This will culminate in the SKA which will deliver about an exabyte a day, comparable to the amount of data produced by humanity in its entirety before the year 2000. What will astronomy, cosmology and science in general look like in 25 years? How will it differ from today? In this talk the speaker will review the machine learning algorithms, as well as their successes and challenges, that have been developed to do science in this new era of big data and discuss the light they shed on what it means to do good science.