THE WORLD’S EASIEST TO USE UNSUPERVISED DEEP LEARNING PLATFORM
Symilarity is an unsupervised artificial intelligence platform that automatically interprets natural language and extracts a structured representation of the content and context of data and/or images and their relationships.
Symilarity applies Unsupervised Artificial Neural Networks to learning tasks that contain more than one hidden layer. The outcome creates a highly efficient system that learns representations from large-scale, unlabeled data sets.
Symilarity identifies and aggregates data records that correspond to the same real-world entity including data from multiple corpora and from different sources. The outcome enables and encompasses the matching of different tasks that have quite different data contexts.
Symilarity provides a range of tools such as clustering, word frequency analysis, automated classification, alongside machine learning, to enable users to find hidden content within large corpora
Deep learning (DL) is essentially a component of Machine Learning (ML) that extends ML capabilities across multi-layered neural networks to go beyond just categorizing data. DL can actually learn, unsupervised, basically from massive amounts of data. With DL, it’s possible to combine the unique ability of computers to process massive amounts of information quickly, with the human-like ability to take in, categorize, learn, and adapt. Together, these skills allow modern DL software to perform advanced tasks, such as identifying fraud from unstructured claims forms.
“the Symilarity team has been working with AI and Unstructured Data since the 1990’s. Today we bring you these decades of experience in a platform that extends Deep Learning accessibility to everyone”