grand challenge memories for life n.
Skip this Video
Loading SlideShow in 5 Seconds..
Grand Challenge: Memories for Life PowerPoint Presentation
Download Presentation
Grand Challenge: Memories for Life

Loading in 2 Seconds...

play fullscreen
1 / 37

Grand Challenge: Memories for Life - PowerPoint PPT Presentation

  • Uploaded on

Grand Challenge: Memories for Life. Nigel Shadbolt and Wendy Hall The University of Southampton. And Where is Wendy Hall?. Structure. What is a Grand Challenge? History of the M4L GC The phenomena of memory The science of memory The technology of memory Application Opportunities Issues

I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
Download Presentation

Grand Challenge: Memories for Life

An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.

- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
grand challenge memories for life

Grand Challenge: Memories for Life

Nigel Shadbolt and Wendy Hall

The University of Southampton

  • What is a Grand Challenge?
  • History of the M4L GC
  • The phenomena of memory
  • The science of memory
  • The technology of memory
  • Application Opportunities
  • Issues
    • Ethical
    • Funding
    • Collaboration
what is a grand challenge
What is a Grand Challenge?
  • Revolutionary shift in thinking or practice
  • Enthusiastic support from scientific communities
  • Appeals to the public imagination
  • A clear criterion for success or failure
  • Long term benefits to science, industry, society
  • International scope
  • Interdisciplinary, collaborative research
  • Examplars…
grand challenges
Grand Challenges
  • Put a man on the moon within a decade
  • Map the human genome
  • Build a computer to beat the world chess champion
memories for life grand challenge
Memories for Life Grand Challenge
  • Part of the UKCRC/EPSRC sponsored Grand Challenges for Computer Science Research – November 2002 Workshop
  • Surfaced as a topic again during the Foresight Cognitive Systems Workshops
  • Submitted a proposal to hold a planning event to Foresight – held London mid August
  • Why the interest?
memories are compelling
Memories are Compelling
  • We are quite literally our memories
  • They are both personal and social
  • They exist in all modalities
  • Pervasive and central in all walks of life
  • What is your first memory?
  • Do you remember you first day at school?
  • Do you remember the first time you hurt your sibling?
  • Are they real or constructed?
  • Are they lost, diminished or overlaid?
memories shared and private
Memories: Shared and Private
  • Certain events as memories evoke time and place with exquisite clarity
the scale of evocation
The scale of evocation
  • Some are global flash bulb memories others are national and many are personal
the science of memory
The Science of Memory
  • Memory – recognition of multiple systems
  • Working and Short Term Memory
    • Multi–component; e.g auditory/verbal STM, visual/spatial LTM
  • Long Term Memory
    • Episodic When did you last ride a bicycle?
    • Semantic What is a bicycle?
    • Procedural How do you ride a bicycle?
    • Recognition Is this a bicycle?
    • Value Phobic to bicycles?
the psychology of memory exemplar differences
Episodic Memory:

Reference is to oneself

Organised temporally

Events remembered “consciously”

Susceptible to forgetting

Context dependent

Semantic Memory:

Reference is with respect to general knowledge

Not organised temporally

Events are “known”

Relatively permanent

Context independent

The Psychology of Memory: Exemplar Differences
memories and plasticity
Memories and Plasticity
  • Neurons send out axons to synapse with targets
  • Once established targets supply neurotrophic (NT) factors
  • These factors are essential to the continued survival of innervating neurons
  • If a neuron receives too little factor it dies
  • Target innervation and neuronal elimination are adaptive mechanisms
model of plasticity
Model of Plasticity

Applied in silico to development of a variety of cortical maps

Assumption – time average uptake of NTF by i from x

determines the number of synapses projected by i to x

T. Elliott and N.R. Shadbolt. Developmental robotics: Manifesto and application." Philosophical Transactions of the Royal Society of London, Series A. In the press.

memories for life the dix measure
Memories for Life: The Dix Measure
  • 70 years ~ 25,550 days, 613,00 hours, 2.2x109 secs
  • 100 kbits/sec for audio/video
  • 27.5 terabytes for a life
  • 343 80 gigabyte hard drives
  • 2 years ~ 60 million seconds of data ~ 6 hard drives
  • 2073 storage capacity could have doubled 47 times
  • Capacities could have increased 12 orders of magnitude
  • Your life on a grain of sand!
memories for life the hardware
Memories for Life: The Hardware
  • Fujitsu - .8 inch 80 gigabyte hard drive
  • Video cameras
  • Video transmitter
  • Complete PC
  • Other modalities e.g smell
memories for life the computer science
Memories for Life: The Computer Science
  • Database Systems
  • Security
  • Operating Systems and Versioning,
  • Persistence of format, re-represenations
  • Artificial Intelligence
  • Human Computer Interaction
  • Visualisation and Virtual Reality
memories for life and information overload
Memories for Life and Information Overload

We are drowning in information and starving for knowledge

Infosmog: The condition of having too much information to be able to take effective action or make an informed decision

The deluge of data is overwhelming




automatic annotation
Automatic Annotation
  • Associating meta-data with content
  • Large-scale annotation of natural language texts, images, streaming media
narrative generation
Narrative Generation
  • Using NLP, structure generating and linking techniques to build narratives
associative linking
Associative Linking
  • Supporting multiple context or associative indexes into content
web and grid services
Web and Grid Services
  • Seamless access to computationally intensive services – image registration, annotation, classification…
the perfect storm
The Perfect Storm
  • Convergence of at least three disciplines
    • Neuroscience and psychology
    • Device engineering
    • Computer Science
  • Potential to create a truly remarkable range of applications
memories for life application contexts
Memories for Life: Application Contexts
  • Multimedia Searching
  • Large Scale Experience Repositories
    • (e.g Big Brother, early child interactions….)
  • Continuous health record
  • Stories from a Life
  • Intelligent Mathematics Tutor
  • Memory support in Elder Care
  • Virtual Memories
lest we forget
Lest we forget
  • The the nature and role of forgetting in natural and artificial systems
  • The desirability of post-mortem memories
  • The way in which these memory prostheses and the externalisation of memory will change social practice
  • Memory is a social and cultural construct
other efforts
Other efforts
  • Xanadu – Ted Nelson
  • MyLifeBits – Gordon Bell@Microsoft
  • LifeLog – DARPA
ethical issues
Ethical Issues
  • Ethical
    • Privacy
    • Trust
future events
Future Events
  • M4L London August 20th
  • IAC Bristol
  • Follow up workshop primarily life science based CS early 2004
  • Primarily CS workshop at March BCS Grand Challenges in Computing 04 Newcastle
  • End of 2004 CS and Life Science International Workshop
  • This is a compelling Grand Challenge
  • We have enthusiastic engagement of researchers and Learned Societies - BCS/IEE/BNA/EPS
  • Like to seek RCUK funding for network support
  • Support for large scale experience repositories
  • All communities stand to gain
    • Common problem space – fundamental science etc
    • Richness/availability of data, technology and methods will support/mediate interaction
  • Ethical and social issues must be considered