Artificial Intelligence and Deep Learning Technology Race to Determine Winners and Losers in …

LONDON, Nov. 9, 2015 /PRNewswire/ — Artificial Intelligence (AI), and in particular Deep Learning based on neural network computing, parallel processing and unassisted cloud-based crowd learning are driving key innovations in automotive. AI technology application areas include machine vision and speech recognition, both of which have huge relevance for automotive and transportation:Read ABI Research’s Artificial Intelligence, Deep Learning and Collective Intelligence in Automotive Transportation report: https://www.abiresearch.com/market-research/product/1022198-artificial-intelligence-deep-learning-and-/.AI is dominating the automotive headlines with recent announcements from NVIDIA (Tegra X1 and Deep Learning), Panasonic (pedestrian recognition demoed at ITS World Congress), Mitsubishi Electric (cognitive driver distraction detection), Nissan (IDS concept), Toyota (partnerships with MIT and Stanford), Amazon (AWS IoT platform and Amazon Machine Learning), Tesla (Autopilot), Siemens (radar-based parking space detection), IBM (Watson, TrueNorth SyNAPSE chipset, prognostics), Baidu (Baidu Brain autopilot, Baidu…


Link to Full Article: Artificial Intelligence and Deep Learning Technology Race to Determine Winners and Losers in …