Pat Inc. Reveals Radical Breakthrough in A.I. with Natural Language Understanding

Today, Pat Inc. revealed a market changing breakthrough in the A.I. industry with the private beta release of its API for natural language understanding (NLU). Its breakthrough in NLU applies to machine reading and speech comprehension, which has been a fundamentally unsolved problem in A.I. Google calls NLU the Holy Grail because today machines cannot have a meaningful conversation. Pat understands the meaning of words in context and as a result conversations between consumers and machines can be much more natural instead of commands and key words.

Focused on its bold vision to humanize conversation with machines, Pat made its NLU breakthrough by integrating the RRG (Role and Reference Grammar) Model with a highly scalable, patented neural network. Parsing straight-to-meaning results in the accurate intent in human language.

A simple example is if a consumer asks: “Hey Siri call Beth no actually John.” Pat is the only solution in the market today that understands the meaning in context and will match the request to “call John.”

In the words of Pat’s CEO Wibe Wagemans, “To have a meaningful conversation with machines is only possible when we match every word to the correct meaning based on the meanings of the other words in the sentence – just like a 3-year-old does without guesswork. Pat has made that radical breakthrough with certainty instead of probability, and can now scale the blue ocean of uncontested A.I. market space in human-machine conversation.”

While research firm IDC predicts that A.I. platforms such as Apple Siri, Google Tensorflow, Facebook M, Amazon Alexa, IBM Watson and Microsoft Cortana will generate about $1.4 billion in revenue in 2016, Pat excels over the current competitive landscape in speed, accuracy, scalability of computing and languages, conversation, and multi-lingual capabilities. Its first API in private beta in the market adds meaning to NLU products driving better conversation.

It will be interesting to see how Pat’s API in private beta is leveraged in the coming months, and I encourage you to stay tuned to the Pat site for more on upcoming developments:

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