Jonas Hartmann, PhD student, De Renzis group
Tuesday, 10 April 2018, 18:00, Staff Lounge
Science Ex Machina: What is the Impact of Big Data and Machine Learning on Science?
Over the past few years, big data and machine learning have gained tremendous momentum. Riding on a wave of success and hype, they are rapidly sweeping into every field of science, economy and society. With them comes a new way of looking at data and at the world, a new approach to the creation and evaluation of models - in essence, a new kind of empiricism, which is related to but distinct from established scientific practice.
How does the rise of machine learning and associated paradigms impact the life sciences? What are the opportunities and what are the risks inherent to their wide-spread adaptation? Is "Artificial Intelligence" a much-needed solution to otherwise unsolvable problems? Or is it - as some would have it - the beginning of the end for traditional science?
Suggested introductory references:
A basic introduction to machine learning
A basic introduction to deep learning in bioinformatics
Overview of machine learning applications in bioinformatics (wikipedia)
An overview article on machine learning in healthcare
An article discussing some of the limitations of deep learning