A Redwood City, Californian-based startup company by the name of Numenta has apparently held a conference to show off their achievement, which is a piece of software mimicking the processing power of a human brain.
The company, started by Jeff Hawkins and Donna Dubinsky nine years ago, has set out to achieve an algorithm that would process information like a normal human brain. The company is said to have already shipped its first product, Gork, a piece of software that would detect unusual patterns in information technology systems. By detecting these anomalies in a computer server early, the company states it would help avoid further problems while also saving a lot of time in manually finding and fixing them.
Their first application may seem strange at first, but it fits the description of what the human brain is good at, meaning pattern recognition. It is said that the company built its architecture on Hawkins’ theory of Hierarchical Temporal Memory, having the brain store data in time sequences. This is easily noticeable by the fact that we quickly remember the words and music of a song. This theory has apparently become the foundation for Numenta’s code base, bearing the name of Cortical Learning Algorithm (CLA), which the company intends to use in future applications as well.
Hawkins and Dubinsky have stated at the company’s conference that they are even more excited about new applications based on the CLA code, having already started ‘deeper’ conversations with potential partners about how to use the technology. What would we expect from such a code in the future? Your guess is as good as ours.
Thank you Venture Beat for providing us with this information
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