Home » Equipped with Microsoft Azure cloud service AI self-driving car high-tech university starts collaborative development across colleges | Fan News

Equipped with Microsoft Azure cloud service AI self-driving car high-tech university starts collaborative development across colleges | Fan News

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Equipped with Microsoft Azure cloud service AI self-driving car high-tech university starts collaborative development across colleges | Fan News

Equipped with Microsoft Azure cloud service AI self-driving car high-tech university starts collaborative development across colleges

(Central News Service 20220711 13:58:47) To improve the training efficiency of AI self-driving cars, Hi-Tech University, on the basis of Microsoft Azure cloud computing, in the PaaS model, cooperates with Taiwan Smart Driving Co., Ltd. (Turing Drive) and Ling With the campus of Hi-Tech University as the operating space, China Technology has developed the first self-driving car in Hi-Tech University powered by Azure AI service. Integrate the energy of teachers and students across colleges to jointly develop on the Azure platform. Up to 30 people can adjust the same model at the same time, shortening the AI ​​training time of self-driving cars. This large-scale project has become the educational goal of “AI generalization” in the University of Science and Technology. specific presentation.

Yang Qingyu, President of Hi-Tech University, pointed out that the application of the Internet of Things (AIoT) combined with communication technology is a field that Hi-Tech University has been developing for a long time. The application and guidance of 5G AIoT in smart manufacturing are numerous. Self-driving cars are also a major trend in future development. Relevant technical talents and application development are also the focus of training students in Hi-Tech University. He said that in order to popularize program education, Hi-Tech University has built a lot of innovative teaching equipment to help students learn to design and revise programs by using the actual performance feedback of AI robots. Large-scale collaborative projects such as self-driving cars, with the support of Microsoft Azure’s PaaS cloud computing, can improve the efficiency of online collaboration and allow students from different fields to cooperate in R&D projects. It is a very good learning case, which also helps to promote The application of technology drives the industry to develop more vigorously.

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Guo Junxian, R&D Director of Hi-Tech University, emphasized that “AI generalization” is the educational strategy of Hi-Tech University, whether in teaching or research. Now, after introducing the excellent cloud computing capabilities of Microsoft Azure, Hi-Tech University has cooperated with Turing Drive and ADLINK , which can effectively lower the learning threshold and make it easier for learners to get started. At present, the University of Science and Technology has also cultivated the first batch of seed students, using the tools and services provided by Azure Machine Learning (Azure ML) to train neural network models. For example, automatic assisted labeling tools, etc. In addition, through Docker, multiple students can build, train and test neural network models simultaneously to complete the neural network models required for autonomous driving. Finally, using the Azure virtual machine (VM), ADLINK’s self-driving software Autoware was placed in the Azure environment for testing and simulation, to check the direction and trajectory of the vehicle.

The first set of self-driving car modules completed by the University of Science and Technology is based on the campus environment. It is expected that in the future, AI self-driving cars will be used to provide campus tours for off-campus VIPs visiting the campus. In addition, it can also perform on-campus transportation of items. work, implement intelligent applications, improve efficiency and campus sustainability. The trajectory calculation provided by the Azure platform reduces the threshold for the realization of self-driving in the cloud, including the coding time of R&D personnel. In particular, the high integration of Azure also allows teams to cooperate in the cloud, so that the cross-faculty talents of high-tech universities are more Efficient learning and communication, such a forward-looking cooperation plan across fields, is a very model case for future learning.

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