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"An expert is a man who has made all the mistakes which can be made in a very narrow field." (Niels Bohr)
The great majority of today's "artificial intelligence" applications merely reproduce solutions previously laid out for them by human programmers. Pocket calculators achieve the same goal, but should we consider them intelligent?
Good teachers teach their students how to learn by furnishing an environment that allows them to apply and exercise their abilities and special talents. Through careful guidance, the teacher promotes their optimal development. We look at our software in just the same way.
We are dedicated to the development of systems of autonomous artificial intelligence. Within conventional computers, we create environments where these systems can learn and grow. We respect the fact that they speak a different language and that many of the ways in which they go about solving a problem have not yet occurred to us or are not found in our textbooks. In turn, a generation of software systems has evolved that does not merely rehearse what we already know, but that presents solutions and approaches to solutions for a variety of problems that were considered intractable or impossible to solve.
The focus of our research and product development is evolving software: programs and program components that are able to learn, to improve themselves and to adapt to changing environmental conditions.
In order to be able to develop such intelligence, the applications must perceive and understand their surroundings. They must develop memory structures and a capacity of abstraction that allow them to distinguish between suitable and unsuitable solutions.
The environments in which our applications prove successful are the often enormous quantities of data of our customers. The task is to extract information from the data that will be useful to the customer (data mining). With this information, the systems are then able to find a solution for the problems formulated by the customer.
The financial products of our NeuroStrategy product line are but one example of the successful employment of our technologies. The NeuroStrategy applications analyze data from the world's financial markets. On the basis of the information thus gathered, these applications learn low risk strategies for trading with stocks, currencies and index certificates.
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