Talk to Siri without Cloud Computing and you might as well be Star Trek’s Scotty talking at a 1980s era PC (complete with trackball mouse).Īnd this brings us to today’s topic: Where does Cloud Computing fall short in Deep Learning applications? As providers of on-site high-performance computing hardware and software catering to Deep Learning applications, Exxact has particular expertise in identifying and delineating those scenarios where on-site compute takes the advantage over Cloud in terms of cost, flexibility, privacy, and/or security. But just try getting a response from Siri or Cortana when the internet is down. While there are plenty of valid critiques about failure cases of various voice assistants, speech recognition, achieved via a combination of Natural Language Processing, convolutional neural networks, and long short-term memory models, is in general impressively good. One particularly powerful implementation of Deep Learning is in the proliferation of Voice assistants. That’s why the old Palm Pilots were a conversation piece but modern smartphones go completely unnoticed. However, it does point to an interesting guideline for technological maturity: it’s mature when you stop noticing it. You could make the argument that the opposite has taken place during the last ~6 years of the neural network renaissance with Machine Learning researchers returning to the term AI as the old stigma of exaggerated hype wears off. There’s an old saying in the Artificial Intelligence community: once software starts working people stop calling it AI.
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