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SUMMARY:Neurally-inspired Computing - Philip Sterne (University of Cambrid
 ge)
DTSTART:20100308T110000Z
DTEND:20100308T120000Z
UID:TALK21854@talks.cam.ac.uk
CONTACT:Emli-Mari Nel
DESCRIPTION:This work-in-progress talk is about performing useful computat
 ion in a manner that is robust to both the failure of hardware and the re-
 allocation of hardware to other tasks.  The computation is carried out wit
 h many identical computational sub-units.  Each sub-unit is able to perfor
 m some relatively simple computations and has a single bit of storage asso
 ciated to it.\n\nWe deal with three tasks: representing a set\, creating a
 n error-correcting code and an associative memory.  All solutions have the
  property that at any point one can take computational sub-units away from
  the task at hand and the probability of error will increase gracefully.  
 For the error-correcting code and the associative memory one can add sub-u
 nits to a task\, without changing any of the other units and after a short
  time they will be used in the task and lower the rate of bit errors.\n
LOCATION:TCM Seminar Room\, Cavendish Laboratory\, Department of Physics
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