Talkies Community Cinema: HER

Event Details

Talkies Community Cinema: HER

Time: July 15, 2015 from 7pm to 10:30pm
Location: The Fox
Street: Green Lanes
City/Town: Palmers Green N13
Website or Map: http://talkies.org.uk/future-…
Event Type: cinema
Event Added By: Administrator
Latest Activity: Jul 10, 2015

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Event Description

| HER | Dir. Spike Jonze | 2013 | Cert 18 | 126 mins|


Sweet, soulful, and smart, Spike Jonze's Her is a wryly funny comment on the state of modern human relationships. Is the future of love virtual?
Eye-opening introduction by
Professor Mike Burdon of York University Department of Pscychology.
THE FOX, PALMERS GREEN

doors and bar open 7.00
main events 7.30
Book Online

Comment Wall

Comment by Administrator on July 10, 2015 at 13:51

This is set to be another terrific Talkies event - and in typical Talkies style the additional activities alongside the film look to rival the screening itself.

Do you spend more time on your computer than actually talking to your your partner or friends? We’re often led to believe that computers’ Artificial Intelligence will soon leave humans standing. To set the scene for the film Professor Mike Burton will address these questions.

Mike was Head of Psychology at the University of Glasgow; then Chair of Psychology, University of Aberdeen; before currently Professor of Psychology, University of York.

The main focus of research is face recognition. Includes work on automatic, computer-based face processing and on issues relating to forensic identification - in particular, how our brains allow us to recognise one another. He works with police and passport authorities worldwide to apply this research in forensic and security settings

We’re often led to believe that computers’ Artificial Intelligence will very soon leave humans standing. By using real life examples, including from his work with security services and passport authorities worldwide, Professor Mike Burton will use a fun audience interactive session to highlight just who is top-dog in our evolving relationship with machines. You’ll see our world through different eyes.

Recognition of faces over a range such as below is a very difficult problem. Yet, for viewers familiar with the person, it is usually easy to recognise all the different photos. The image-variability arises because of changes in the person (age, expression, pose, hairstyle etc), change in the capture device (cameras with different focal lengths, resolution etc), change in the viewing conditions (direction and degree of illumination), and many other variables. Could a computer manage so easily? The images at the centre is an average of the other twenty.

Does that help?

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