Pat AI combines linguistics, neural networks to create a new type of artificial intelligence

A new artificial intelligence company thinks that its breakthrough in natural language understanding can take on what machine learning experts say is an unsolvable challenge: getting machines to understand human language and its meaning. Pat Inc., which announced its private beta and US$2.5 million in seed funding this month, is developing artificial intelligence technology that takes the approach of NLU and applies it to machine reading and speech comprehension. The company’s approach combines a neural network with the linguistic role and reference grammar model that was developed by William A. Foley, a linguist and professor at the University of Sydney, and Robert Van Valin, Jr., chief scientific officer of Pat. (Related: Machine learning is the new SOA) The RRG model describes how a sentence is formulated in terms of its…


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