More and more companies with artificial intelligence sectors are open sourcing their technology because deep learning is something that can be beneficial in many different ways to many different groups of people. They are also hoping that smart technologists outside of their companies are able to speed along the development of AI without their involvement. Google has recently made the decision to open source their language AI, Syntaxnet, which is a fairly developed system that hopes to help digital assistants and other technologies to understand more complex questions than the orders that we frequently give to Siri. Google’s hope is that this system can learn to answer questions that require nuanced answers, and by open sourcing it, they are increasing the amount of information the network has access to for learning.
The desired result of this technological advancement is typically known as natural language. That means that the goal is to have AI be able to understand questions as humans say them naturally, and it shouldn’t require a specific formulation of phrase. Google’s AI works by separating out words in sentences to try to figure out what purpose they serve in the sentence, leading to the true meaning of what the person is actually trying to say.
Not only will this technology help with digital assistants but it will also help Google with their primary product – the search engine. When you type something, there are many ways it can be interpreted, but with the help of AI, Google can more easily predict what it is you actually want to know. With so many applications, it seems likely that exciting developments will be made with this technology even faster now that anyone can access it and create their own neural nets for developing more deep learning language technology.
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