The library of semantic fingerprints
Innovations in natural language understanding not only mimic how our brains process words but catalog them for better contextual comprehension with less human input .
10 BY RODIKA TOLLEFSON
Today ’ s businesses are drowning in the volumes of data they create and collect daily . Many data-related jobs are too complex or timeconsuming , which is why organizations are turning to artificial intelligence ( AI ) and its branches of machine learning ( ML ) and natural language processing ( NLP ).
Most commonly , the ML models that steer those tasks rely on deep learning : neural networks trained with large data sets — sometimes billions of data points . While these models are proving more adept than people at conquering the data mountain , the result is high computational cost and a growing data center footprint .
But what if , instead of using processing-heavy neural networks , the AI could be trained to “ learn ” the same way the human brain does ?
Austria-based Cortical . io believes it has the answer . The 10-year-old company has developed a novel alternative to the massive data sets and statistical computations that neural networks use for deep learning .
Natural language understanding ( NLU ) underpins Cortical . io ’ s patented system . An evolution as well as a subbranch of NLP , NLU helps computers
ILLUSTRATION BY CHRIS GASH