Sixth Hospital Information 丨 Electrical and Information Engineering College launched Huawei preaching meeting

In order to promote students to learn more about Huawei companies, they also achieve the interaction between school and quality enterprises. The School of Electrical and Information Engineering, Kunming University of Science and Technology, held Huawei, 205, 205, at 14:30 on November 25, 2021, held Huawei business preaching.

This presentation will preach by Mr. Li Hongwei, a manager of Huayi, Yunnan, and the public, preaching the theme: the exploration and practice of Huawei talents under intelligent era.

First of all, Mr. Li Hongwei conducted a brief introduction to Huawei Yunnan, and he mentioned that Huawei as one of the 500th top 500 companies in a well-known world, has always been a lot of excellent graduates. Huawei is in the field of ICT, deep cultivation for many years, mastering and actively building key technology and infrastructure including broadband, 5G, cloud computing, big data, Internet of Things, artificial intelligence six ICT industries, and latter solids in realizing the future. The basics.

Second, Huawei is a domestic excellent enterprise, based on social responsibility, based on ICT technology, focusing on reducing carbon emissions, increasing renewable energy use, promoting circular economy, science and technology protects natural. Conducting China is a key breakthrough in the field of product energy saving, renewable energy, etc. I have made important contributions to China’s green sustainable development.

At the same time, he also pointed out that as a leading ICT infrastructure and intelligent terminal provider, Huawei has always made the world more beautiful, and the past more than 30 years of Rihua provided high-quality connection and service for more than 300 million people worldwide. .

At present, Huawei is committed to bringing the digital world into everyone, each family, each organization, building thousands of intelligent worlds, to create greater value for customers, build a better platform for our employees, providing more Opportunity, promote the harmonious development of the community, strive to make technological innovation, and each family, every organization.

Subsequently, he proposed sustainable development and needs more excellent high-end talents. Therefore, in order to change the "last kilometer" to the "Baiyi Plan", the "Hundreds of Plan" is set up, and the talent culture closed loop is required to make the cultivation of talent culture. At the same time, for the last kilometer of talent construction, Huawei online open talent double selection platform, and the ICT talent alliance is double selection meeting.

Finally, Li Manager pointed out that Huawei’s stage is enough. It is a place that can provide a large-scale talented visit to job seekers. It can provide strong growth resources for job seekers. At the same time, the students should do their own professional plan as soon as possible. Your future is always long-term goals. This preaching will end successfully.

This presentation will make students have a deeper understanding and understanding of Huawei, while making students have more clear understanding of future goals.

Finally, I hope that the students can have their own goals and put into action for their goals, take wind and waves!

Word Source / Zeng Hong

Typographic editor / Yan Ji

Editor’s review / Jiang Chenbo Peng Haoyang Liu Xi Denwu Wang Xianzhi Yao Jia Wefeng

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To this end, Tiandi Wisdom Medical has been developed – a full-chain AI chest image intelligent analysis system, and the video department can assist the doctor through the full chain AI service to use the cloud PACS to quickly screen, greatly enhance the doctor’s diagnostic efficiency. The full chain AI chest imaging intelligent analysis system includes acquisition control AI, image analysis AI, video diagnosis AI, department management AI, auxiliary doctor from shooting into diagnostic images.

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Whole chain AI chest imaging intelligent analysis system? Based on? Computer visual algorithm, large data training, deep learning of large data training, neural network, to integrate AI? Into the full process of radiological imaging, realize intelligent retrieval, massive screening, precise diagnosis, Provide higher quality ultra-clear images for clinical, and realize automated measurement, quantified data accurate screening and multi-type lesion intelligent prompt function, effectively improve the quality, efficiency and benefits of clinical diagnosis, and strengthen the medical examination center in the same scale The competitiveness of the medical examination center, reduce the tabular doctor? Work negative? Mercedently and optimize the patient’s experience.

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