2018 AI Trends: Cloud Models, AI Hardware

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Nvidia's greatest growth in chips in 2017 was in the AI and cloud-based sectors, which should increase in 2018. This year tech companies will begin moving AI more to the "edge" of access, leveraging trained machine learning software with cloud-based computing, according to a VentureBeat.com The authors, Daniel Li, Principal, and S. Somasegar, Managing Director, predicted four new trends in 2018: Machine learning models will operate outside of the data centers and via phones and personal assistant devices, like Alexa and SIRI to reduce power and bandwidth consumption, reduce latency and ensure privacy. Specialized chips for AI will perform better than all-purpose chips, and computers built to optimize AI are already being designed. Text, voice, gestures and vision will all be used more widely to communicate with systems.

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