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Introducing MindPeer™
The concept behind MindPeer™ is to break difficult computational problems such as pattern recognition into small pieces to be solved by human brains. These large computational problems could be anything from deep-space telescope images to a convenience store's transaction data.

Cut Into Pieces
The first step of attacking a data analysis problem is using our patented MindSieve® algorithm. This quickly and accurately divides the larger analysis into many smaller independent problems. This is a critical step in the process, because these little problems can all be solved simultaneously, or 'in parallel'. The study of parallel algorithms has been a focus of much research over the years, but never before has there been a process like MindSieve® that can break any computational problem into separate independent pieces.

Distributed Thinking
Now that we have bite-sized problems, we can download them individually to the many neurad members, who use their to solve the problems at their leisure. Though they are part of a complicated computer algorithm, the individual subproblems are no more difficult than locating a person in a photograph or identifying the darkest part of a picture.

Joining Forces
The results from the neurad members are sent back to the MindPeer™ central system, which recombines the subproblems and produces the final output of the computation. Because neurad builds redundancy into the MindPeer™ system, we are able to guarantee the results of the data analysis. This is a distinct advantage over other computational systems.