Intervista a Christy Maver, Director of Marketing di Numenta, start up americana che opera nell’ambito del Cognitive Computing

Nov 27, 2015

1.      What is your Machine Intelligence/Cognitive Computing vision?

At Numenta, we believe that neocortical principles will drive the future of machine intelligence.  We view the brain as the best example of a truly intelligent system, and because of that, everything we do is biologically inspired. We have made great progress in reverse engineering the neocortex, which is the seat of human intelligence in the brain. Our belief is that if we can understand the biological principles by which the neocortex operates, we can apply them to core software technology to create intelligent machines. We’ve developed machine intelligence technology called Hierarchical Temporal Memory (HTM), which is modeled on how the neocortex works and comprises time-based learning algorithms.  Our unique, biologically driven approach is helping to create computers that can learn patterns in their environment without being programmed.


 2.      How Cognitive Computing will impact on data analysis processes in the next 5 years?

This is a question that we are often asked, and it’s fun to ponder. On one hand, we can’t even imagine what impact cognitive computing will have, because over time there will be new applications that no one has begun to think about today. This scenario is likely more than 5 years out, however.  What we can expect to see over the next 5 years is that the rise of cognitive computing will allow us to uncover more patterns and test more hypotheses than ever before. Intelligent machines will be able to look for these patterns in data orders of magnitude faster than a human.


3.      Today, what are the Industries that are already investing in Cognitive Computing? Which are the main benefits achieved by these companies?

We see several industries investing in cognitive computing, and we believe all industries can benefit from machine intelligence, particularly those that deal with large data streams.  Many of these industries are overwhelmed by this data and unable to use it. Machine intelligence principles can help them gain valuable insights from this information. For example, financial institutions are looking to build programs that incorporate semantic reasoning, so they can find unusual comments that would help prevent fraud and insider trading.  Healthcare institutions are turning to cognitive computing to increase preventative care and reduce costs. We believe that the possibilities are endless and there are many opportunities that have yet to be uncovered.


 4.      How Numenta’s technology can be applied to organizations? What are the main applications?

Remarkably, the neocortex uses the same learning methods for everything it does, whether it’s vision, hearing or speech. Similarly, Numenta’s learning algorithms are very flexible and can be applied to many different applications. We have one partner, Avik Partners that is using our technology to advance IT anomaly detection and another,, that is making great strides in natural language processing.  We’ve built a handful of sample applications to demonstrate the broad applicability of our technology. These include anomaly detection in publicly traded companies’ stock volume and Twitter activity, rogue human behavior detection and geospatial tracking. These are just some examples, but any organization that has streaming data can use our technology to find anomalies and make predictions.


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