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2025-01-15 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > IT Information >
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At the results release event of the 2023 China International Trade in Services Fair, Hou Mingjuan, Global Vice President of Qualcomm, participated in the offline launch of the white paper "Hybrid AI is the Future of AI" and shared her observations and prospects in the AI field. She pointed out that the most focused area of Qualcomm AI research and development is how to make AI run more efficiently in a low-power environment. Qualcomm is committed to continuously improving the performance and power consumption ratio of terminal-side AI by providing efficient hardware, algorithms and software tools. She also recommends that everyone visit the Qualcomm booth to see a demonstration of the 1 billion generative AI model running smoothly on Qualcomm Snapdragon 5G phones.
Hou Mingjuan said that under the upsurge caused by ChatGPT, generative AI brings unprecedented opportunities for development. AI has entered all aspects of people's lives at an astonishing speed, from the most familiar computers to smartphones, smart cars, smart factories, intelligent testing, and so on. She pointed out that the hybrid AI architecture distributes and cooperates with the workload of AI between the cloud and the terminal side, so that the users of these terminals can get a better AI experience, and the terminal side AI will play a more critical role. Only by realizing the popularity of AI on the terminal side can large-scale expansion of AI be realized.
She analyzed the reasons why terminal-side AI plays a key role in popularizing AI. At present, the computing cost of AI in the cloud is 10 times that of search engines, and this extra computing power brings billions of dollars of computing costs every year. Lack of computing power is the biggest reason that hinders the rapid popularity of AI. According to the complexity of the demand function, the hybrid AI architecture can choose to run on the cloud, or run on the terminal side, or dynamically distribute the load between the terminal and the cloud. If it exceeds the computing power of the terminal, it can seamlessly switch to cloud reasoning through networks such as 5G, and then return the calculus result. The terminal-side AI can effectively share the computing power and reduce the probability of the cloud AI hitting the computing bottleneck.
Hou Mingjuan pointed out that many Qualcomm scientists have invested a lot of research and development efforts to continuously iteratively optimize hardware and software to improve the performance and power consumption ratio of terminal-side AI. Qualcomm also launched the AI software stack, which integrates the AI framework, developer library, system software and operating system. With the help of software stack, developers only need to develop once to expand AI applications on different terminal types and different operating systems.
Hou Mingjuan explained that the purpose of Qualcomm's white paper "Hybrid AI is the Future of AI" is to share Qualcomm's understanding of the development and application trend of AI technology with the industry, and hopes to create opportunities to cooperate with more industrial partners to jointly explore the road to universal benefits of AI technology. Qualcomm is hopeful about the application prospect of terminal-side AI and looks forward to working with the industry to expand AI capabilities to a wider range of fields. Qualcomm has achieved great success in the field of 5G smartphones through the "invention-sharing-collaboration" model, and it is worth looking forward to whether these successful experiences can be copied to the field of AI.
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