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Home > Intelligent Systems

Let us face it: despite very important steps in the recent past, present systems are nowhere near being intelligent. IT systems capable of real learning and real adaptation, even limited in scope, are in their infancy.

Telenium invests important resources to push the limits in intelligent and cognitive systems, combining dynamic network and complexity theories with bioinspired bayesian agents architectures.

On the short term, the main goal is to build systems with enhanced automatic learning capabilities and enhanced pattern recognition. Systems to be used in new data analysis applications for a better decision making support in businesses and organisations.

On the medium and long terms, the main goal is to be able to build systems capable of making sense of its uncertain environment and adapting its behavior to achieve its objectives.