Deep learning to accelerate rollout of smart factories. The emergence of deep learning technologies opens the possibility of expanded capabilities and flexibility, leading to more cost efficiency and higher production yield. Deep learning technologies offer so much potential that deep learning-based machine vision techniques in smart manufacturing will see a CGAR of 20% between 2017 and 2023, with a revenue that will reach US$34 billion by 2023.
It shows that Conventional machine vision technology remains popular in the manufacturing factory, but business evolution suggests this may not be enough. As a result, Autonomous Driving and Future Mobility 2019 (Apr. 8-9th, Berlin, Germany) will discuss Deep Learning, Algorithm for Future Move which include the topics of The Role of Deep Learning and AI in Future Automated Vehicle Systems. More key players will be involved in the topics. If you want to know more, please click here to register now.
Top 10 Autonomous Vehicle Start up Award 2019 has opened the registration channel. There are not many seats at present. If you are interested, please don’t hesitate to register.
You can submit your nomination, following the criteria to the right, for your chance to win.