Years in the Making 

Since 2007, Darwin Ecosystem has been been recognized as an innovator of tools that help humans gain insight from data. We are constantly engaging in collaborative research initiatives to meet emerging challenges for individuals, businesses and government.

Our research mission is grounded on the postulate that advancement in cognitive computing will be improved through the use of chaos theory mathematical principles in revealing patterns. This progression will also rely on algorithmic deep learning methods inspired by deep-rooted cognitive capabilities which are not exclusive to human reasoning.


The Mind Meets the Machine

We believe that as computing reaches its fruition, cognitive systems will soon be in balance with living organisms ability to process information through cemented and evolving neural pathways.  This will challenge humans and provide us a new paradigm in human-machine interactivity.  

This evolution and interaction will bring unprecedented awareness and a new form of collective memory that will assist in better decision-making.

We have already witnessed IBM Watson victorious over humans at Jeopardy!, becoming a knowledgeable resource to oncologists, acting as a criminal investigation aide for detectives, and even becoming a creative sous-chef in the kitchen.


The Cognitive Iceberg

Now efforts turn from proving the technology to engaging and employing it. Darwin Ecosystem believes that we have achieved unprecedented interactive and intelligent computing that can help humans solve problems like never before. Our research mission is to excavate those ideas and polish them to brilliance. For at this surface we see only what is currently visible, but the deeper we penetrate, a vision of an unimaginable future will reveal itself.


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Our Favorite Quotes

  • The question of whether a computer can think is no more interesting than the question
    of whether a submarine can swim.
  • Everything that civilization has to offer is a product of human intelligence; we cannot predict what we might achieve when this intelligence is magnified by the tools that AI may provide
  • The deep paradox uncovered by AI research: the only way to deal efficiently with very complex problems is to move away from pure logic.... Most of the time, reaching the right decision requires little reasoning.... Expert systems are, thus, not about reasoning: they are about knowing.
  • An important concept both in Artificial Life and in Artificial Intelligence is that of a genetic algorithm (GA). GAs employ methods analogous to the processes of natural evolution in order to produce successive generations of software entities that are increasingly fit for their intended purpose.