CAI Seminar Series: If Machines Can Learn, Who Needs Scientists?

Event Details

Date:

Tuesday, 30 April 2019

Time:

9:30 am - 10:30 am

Room:

Level 2 seminar room

Location:

Building 57, Centre for Advanced Imaging, St Lucia campus

URL:

https://cai.centre.uq.edu.au/event/session/1588

Event category(s):

Full Description:: Special international guest speaker, Professor Jeffrey C. Hoch,
Director, Gregory P. Mullen NMR Structural Biology Facility and
Professor, Department of Molecular Biology and Biophysics, UConn Health presents:

If Machines Can Learn, Who Needs Scientists?

Machine Learning (ML) is now ubiquitous, with examples capturing the popular imagination ranging from triumph over human world champions at Chess and Go, to facial recognition and drug design. Recently a team from Google bested dozens of expert laboratories in the Critical Assessment of protein Structure Prediction (CASP) competition.

Applications of ML in NMR spectroscopy have a long history, and lessons drawn from that history suggest that scientists remain vital for curating the data used to train ML algorithms, and turning the results from ML 'black boxes' into knowledge. ML is a tool that scientists can deploy alongside and in support of traditional hypothesis-based research.

*No RSVP is required and all guests are welcome to join us for morning tea following the seminar for discussions and networking.