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In today’s world, a huge amount of data is already available and continuing to be produced at ever-increasing rates. The capacity to access, process and exploit all this data is beyond human ability. Yewno, a new approach to knowledge discovery, helps people not only overcome the information overload problem but enables them to research and understand the world in a more natural manner. In contrast to classical information-retrieval engines, rooted in theoretical computer science, our approach is inspired by the way humans process information by leveraging computational linguistics, neural networks and machine learning. Yewno links specific concepts together driven through its inference engine. This enables the generation of emergent knowledge in a noisy universe of unstructured and dispersed information, effectively cutting through the glut of sources. Yewno’s technology merges aspects of cognitive science into a coherent framework aimed at extracting, processing, linking and representing the atomic units of knowledge - concepts - from heterogeneous data sources and enhancing one of humanity’s greatest assets - lateral thinking.
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