A view of the brain in cortical simulation using BlueMatter algorithm that exploits the Blue Gene supercomputing architecture
The IBM Cognitive team has recently announced a significant progress in the development of the Cat-brain based computing system that mimics the brain's abilities for sensation, perception, action, interaction and cognition, while rivaling the brain's low power and energy consumption and compact size.
The team led by the IBM Research Almaden, has made a significant advancement in the cortical simulation and an algorithm called BlueMatter, that synthesizes neurological data. These two major milestones indicate the feasibility of building a cognitive computing chip.
These progress will charter a unique area in exploring the computational dynamics of the brain, and move closer to its goal of building a compact, low-power synaptronic chip using nanotechnology and advances in phase change memory and magnetic tunnel junctions.
The cognitive team built a cortical simulator that incorporates a number of innovations in computation, memory, communication as well as details from neurophysiology and neuroanatomy in order to perform the first near real-time cortical simulation of the brain in large scale. After which, they combined the algorithm with the cortical simulator to experiment with various mathematical hypotheses of brain function.
Click here to read more about Cat-Brain Based Computing, Cortical Simulation, BlueMatter algorithm and Blue Gene Supercomputing Architecture.
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