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This presentation wraps up the new Silicon Valley gateway to disruptive technologies. It outlines multiple in-depth monitoring, ranging from the Deloitte approach on AI to KPMG on IoT, AI and Robotics, and game changing start-ups covering a large variety of sectors from longevity boosters, to net-zero building, to faster IoT optimization.
One of the key findings of the “AI artificial intelligence 2018 index” is that Europe, and not the U.S. or China, is releasing most AI papers. AI is being commercialized at a fast pace, and the state-of-the-art technology is improving, including the accuracy of object recognition and machine translation.
We are about to see strides in our daily lives: using deep learning-based vision AI software for face analytics, emotion recognition, body pose, and human action and activity recognition for the automotive industry (Eyeris), hearing aids and hearables with machine learning for unprecedented energy efficiency, size reduction, and cost savings (iHEAR), HSBC employees using smartwatches to enhance customer service (Samsung), customers pushing carts that measure heart rate (Walmart), facial recognition into our car (Visteon) and the ubiquity of voice-command (Toshiba, Honda and SoundHound). It is remarkable to see ABB partnering with San Francisco-based Salesforce ($8 billion in revenue in 2017 and 30,000 employees). “With Salesforce, ABB is unifying its CRM globally, across every region, brand and department, to embrace the opportunities created by the Fourth Industrial Revolution”.
It becomes obvious that Machine Learning, Machine Translation, Artificial Intelligence (AI) and Deep Learning in the area of Scientific Information are not something that each and every company can do on its own in its backyard; a joint effort is necessary to implement these emerging technologies in scientific data analysis.