After 4 consecutive years of successful polishing and development, the 4th AutoAI 2021 Unmanned Driving and Smart Cockpit China Summit hosted by Taas Labs will be held in Shanghai from May 20th to 21st. Google Cloud was invited to attend this conference and share the keynote speech "Using Google Cloud to Accelerate Autonomous Driving Development", and discussed hot topics such as the development trend of global autonomous driving technology, new technologies for autonomous driving, and the development trend of smart cockpit with more than 200 industry professionals. It is expected that more than 40 domestic and foreign leading car manufacturers will attend this event, and more than 100 domestic and international first- and second-tier suppliers will participate. It is a large-scale automotive technology event not to be missed in the first half of 2021.
The automotive industry is in the midst of disruptive innovation and historical change. Intelligent networked vehicles, digital manufacturing, shared travel, and autonomous driving technologies that are gradually becoming a reality will have a profound impact on the future business model, value chain, supply chain, and products and operations of the automotive industry. In the process of continuous innovation and digital transformation of the automotive industry, artificial intelligence and cloud computing technologies play a vital role .
Autonomous driving technology is one of the most striking disruptive technologies in the field of automobiles and transportation. More and more automakers and start-up companies are investing in the R&D and innovation of autonomous driving.
However, the development and deployment of autonomous driving systems face many challenges, such as the need to collect, store and manage massive amounts of data, use a large number of computing resources for high-performance computing processing, and use the industry's most advanced deep learning platform and technology for model training and tuning, management, and accelerate the entire development process. In addition, in order to ensure the safety of autonomous driving of the artificial intelligence (AI) system, the vehicle needs to be strictly tested on the actual road and in a complex digital simulation environment. Then, combining the current artificial intelligence AI technology and cloud computing platform of Google Cloud, how to achieve:
1. In high-performance computing, how to use high-efficiency computing power while taking into account cost considerations and flexible scheduling?
2. Self-driving cars generate about 5TB to 20TB of data per car every day. How to efficiently collect, store and manage the data of self-driving cars?
3. How can data scientists efficiently analyze and process hundreds of data subsets and hundreds of millions of files?
4. How to realize end-to-end autonomous driving model training and life cycle management of machine learning? At the same time, through automated advanced machine learning technology, accelerate deep learning model training, tune deployment?
At AutoAI's 4th China Summit on Unmanned Driving and Smart Cockpit, Mr. Lian Guanhua, Director of Google Cloud Architect Team, will give you a detailed explanation of how Google promotes the development of these technologies.
May 20, 14:00-14:30 Using Google Cloud to Accelerate Autonomous Driving Development
From the collection and management of massive data, large-scale simulation computing and testing, complex analysis and processing of autonomous driving data, to advanced artificial intelligence platforms, Google Cloud provides complete solutions and services to help you accelerate the entire development process of autonomous driving, especially through Google Cloud's unique Cloud TPU, AI Platform and Neural Architecture Search technologies, which automate your machine learning model training and model tuning, and manage your entire machine learning lifecycle. business innovation.
Focus on the Google Cloud keynote speech, and explore more exciting content and application practices!