Join Professor Yarin Gal to discover new techniques in machine learning that will give you the chance to venture beyond the frame of some of your favourite paintings.
Have you ever wondered what Saint-Rémy-de-Provence looked like beyond Van Gogh’s 'Starry Night'? Or have you been curious about what lay beneath 'The Great Wave off Kanagawa' by Hokusai?
Using extrapolation, a technique where AI analyses existing patterns to predict what might happen next in a sequence, we can imagine what these and other masterpieces may have looked like if the artist had carried on painting.
See these, and other extrapolated works of art, in this exploration of the intersection between algorithms and art.
This event will run at 1.30pm and 5.30pm and last approximately 15 minutes.
Talk - admittance for our talks is first-come, first-served. Please ensure you arrive early for talks as we can get busy at the weekends and you may need to queue to get into the building.
Attending the event
- Free to attend
- No registration required
- Limited spaces, admittance based on venue capacity
- Seats allocated on a first-come, first-served basis
- Doors open 5 minutes before start of event
- Suitable for ages 14+
- Travel and accessibility information - contact us directly to arrange any specific accessibility requirements
- Food and drink will be available for purchase at our onsite café
For all enquiries, please email firstname.lastname@example.org.