“ Watson aims to help businesses unlock the value of data in the new ways and remove repetitve tasks from employees to shift the foucs to high-value work ”
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Dr . Bernd Lohe , Director Supply Chain Operational Excellence & Digitization at BASF
Nutrition & Health autonomous vehicles . Built primarily using the Apache MXNet deep learning framework on AWS , TuSimple vehicles have built in servers loaded with up to 100 different AI modules . These modules distinguish the types of cars on the road and the speed of other objects around the truck providing a steady stream of data from cameras , LiDAR , and radar equipment to build a live 3D model of the road that is constantly updated as the truck moves . After completing a successful delivery , the results are updated to the modules on every trucks server after completing safety test and simulations to ensure it will behave as expected .
With the help of AWS ’ s massive computing power , this process takes hours rather than weeks .
Currently TuSimple ’ s trucks are at a ‘ level 4 ’ autonomous vehicle classification and have a 5cm accuracy at 65 mph with a loaded trailer . By 2020 , Xiaodi Hou , president and CTO of TuSimple , wants to remove human ‘ fail-safes ’ from the vehicles .
With firms worldwide at the beginning of an exciting future in the leveraging of new technology in the supply chain space , machine learning is set to feature even more prominently in company ’ s operations over the coming years .
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