Lovelace Lecture: Machines that learn to see

Date:
Monday 8 May 2017, 5.45pm - 8.45pm

Venue:
DHEZ Ltd, The Digital Exchange, Bradford, BD1 5BD | Map
Parking available around site for free.
10 min walk to Interchange and Forster Square train station.

Cost:
Free

Agenda:

  • 5.45pm - Arrive, Registration, Refreshments
  • 6.20pm - Introduction
  • 6.30pm - 8.30pm - Lecture (streamed live from London)

Details:

The 2017 Lovelace Lecture-‘Machines that learn to see’ is being delivered in London by Professor Andrew Blake. West Yorkshire BCS are pleased to show this live streamed event and you are invited to join us. 

Machine vision works nowadays. Machines can: navigate using vision; separate object from background; recognise a wide variety of objects, and track their motion.

One general question about intelligent systems is whether they will be dominated by “generative” models which explain data as a sequence of transformations, or by black-box machines that are trained on data at ever greater scale? In perception systems this boils down to the comparative roles of two paradigms: analysis-by-synthesis versus empirical recognisers. Each approach has strengths, and empirical recognisers especially have made great strides in performance in the last few years, through deep learning. Exciting progress that has already been made on integrating the two approaches. It is also fascinating to speculate what other new paradigms in learning might transform the speed at which artificial perception can develop.

About the speaker:

Professor Andrew Blake is an engineer whose innovative work on image analysis has helped make it possible for computers to react to the world around them, based on the visual data they receive. His research has focused particularly on the accurate tracking of motion and the reconstruction of visible surfaces.

Amongst his contributions to the field, he is perhaps best known for the development of the Condensation algorithm that allowed computers to interpret complex visual motion in real time. At Microsoft Research Cambridge, Andrew was also part of the team that put the machine intelligence into the company’s Kinect controller - a revolutionary gaming system capable of following instructions dictated by the body movements of its users. 

The recipient of the Silver Medal and the MacRobert Gold Medal of the Royal Academy of Engineering, Andrew also won the prestigious Mountbatten Medal from the Institution of Engineering and Technology. He is a Fellow of the Royal Academy of Engineering and of the Royal Society.