Artificial intelligence has experienced explosive growth, creating numerous business opportunities across various industries. Major players in the cloud domain have already emerged, making it increasingly difficult for new entrants to find opportunities in this space. In the future, artificial intelligence on the terminal side is expected to unlock massive potential, drawing both manufacturers and investors toward this emerging field.
After years of development, as infrastructure such as ICT continues to evolve, cloud computing will become more powerful. Many internet giants have entered this market, but for new entrepreneurs and investors, the "kingdom effect" of the big players and the high valuations of established companies make it challenging to break in.
With advancements in algorithms, stronger computing power on terminals, and faster network connectivity, more workloads can now be processed locally on devices rather than relying solely on the cloud. According to Gartner, smartphone shipments are projected to reach 8.5 billion units over the next five years. In 2016 alone, the global smartphone market shipped 1.47 billion units. Qualcomm predicts that mobile devices will become the most popular AI platform worldwide.
In the coming years, terminal-side AI is set to create significant opportunities. As smartphones continue to dominate the market, they are becoming a key platform for AI innovation. The shift from cloud-centric AI to intelligent edge computing is gaining momentum, driven by the need for lower latency, better privacy, and efficient use of network resources.
Many industry leaders are focusing on terminal-side AI, recognizing its advantages. For example, autonomous vehicles require real-time decision-making, which is not always feasible with cloud-based processing due to potential network delays or outages. Terminal-side AI enables faster, more reliable responses, enhancing safety and performance.
Moreover, the development of mobile technology has addressed many challenges associated with terminal-side AI. Modern processors now operate at 10nm and even smaller process nodes, offering higher performance while consuming less power. This makes it possible for devices like smartphones, drones, and cars to handle complex AI tasks efficiently.
The scale of the smartphone market also plays a crucial role. With billions of devices expected to be sold in the coming years, the economic benefits of mass production help reduce costs and improve efficiency. These gains can be extended to other industries, including smart cities, healthcare, automotive, and the Internet of Things (IoT).
Qualcomm, a leader in mobile communications, has been actively involved in AI research for over a decade. They have developed tools like the Snapdragon Neural Processing Engine (SNPE), enabling developers to run deep learning models directly on mobile devices. Recently, Qualcomm acquired Scyfer BV, a Dutch company specializing in machine learning, to further strengthen their AI capabilities.
In addition, Qualcomm has partnered with leading AI startups, such as Shangtang Technology, to integrate advanced algorithms with their hardware platforms. These collaborations highlight the growing importance of terminal-side AI and the potential for innovation when software and hardware work together.
Investors are also showing increased interest in terminal-side AI. Companies working on AI chips and hardware are attracting significant funding, as the cloud market becomes more saturated and expensive. Startups like Cambrian Technology and Shenjian Technology have raised substantial capital, signaling a shift in focus from the cloud to the edge.
As 5G networks expand, the synergy between cloud and terminal AI will become even stronger. 5G offers faster data transfer, lower latency, and the ability to connect millions of devices, making it ideal for AI applications that require real-time processing.
In summary, the future of AI lies in a balanced approach between the cloud and the terminal. While the cloud remains essential for large-scale data processing, the terminal offers unique advantages that cannot be ignored. As technology continues to evolve, we can expect to see more innovations at the edge, driving the next wave of AI development.
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