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The exhibition gives the answer to how 5G+AI will lead a new round of mathematical change.

2025-01-19 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > IT Information >

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The 2023 World Mobile Communications Conference in Shanghai (MWC Shanghai) has come to an end, but the discussions among industry giants about the development of mobile communications and digital economy during the conference are still memorable. Friends who participate in MWC Shanghai this year believe they will feel it. AI, especially AIGC, can be said to be in the limelight. In addition, the display of cloud computers, cloud mobile phones, XR, naked-eye 3D and other technologies is also impressive.

In fact, most of the closely watched technological innovation shows are inseparable from a key basic technology, which is 5G. At present, 5G technology continues to evolve and integrates with cutting-edge technologies such as AI, enabling digital change, thus bringing us into a new era of the Smart Internet of everything.

How on earth does 5G+AI change our world? How can we promote the ideal digital future to come faster? Maybe we can find the answer from this conference.

5G Advanced + mixed AI, opening the door to the edge scale of Smart Network connection, what we will usher in in the future is a world of people and the Smart Internet of everything. The deep convergence of energy-efficient processing, distributed intelligence, and network edge-side connectivity enables billions of smart terminals to connect to the cloud in real time and to each other, enabling new services, business models, and experiences. profoundly change the way we work, live, and produce.

If all this is to be achieved, 5G is essential as one of the fundamental elements of the new infrastructure and digital economy. CTOnews.com has told you many times before that 5G is a long-term evolution of technology. Perhaps at first, our perception of it is that mobile phones have faster Internet speeds and lower latency, but 5G means much more than that. With the continuous evolution of 5G standards from Rel-15, Rel-16 to Rel-17, 5G will continue to expand to more industries.

At present, we are entering the 5G Advanced phase and will start a new round of 5G innovation. 5G Advanced is the second phase of the 5G standard, which will define new goals and capabilities for the follow-up development of 5G. Rel-18 will bring enhanced features and features that empower new industries, use cases, and experiences, including AI-driven system design, new optimizations for XR and RedCap for less complex Internet of things endpoints, as well as further enhanced eMBB, C-V2X features, and more.

In short, the number of connections to the 5G Advanced will reach 100 billion, and it will also support downlink 10Gbps rates, millisecond delay, and the ability to transcend connections such as perception and high-precision positioning. It will also promote the continuous evolution of 5G to 6G, thus driving thousands of industries, a large number of intelligent network connection terminals into a new round of innovation.

In the 6G era, we should not only meet the enhanced traditional communication requirements, but also achieve extended support in all aspects such as AI and computing, system reliability, perceptual integration, green network and so on. In particular, drivers that require AI technology will evolve towards the direction of native wireless AI / ML. In the 5G era, the AI of the network side and the terminal side is carried out independently. At present, the 5G Advanced requires the cooperation of the AI between the terminal and the network, and the ML should coordinate the operation between the terminal and the network. In the 6G era, AI needs to be completely native and autonomous in all terminals and network layers, which brings strong scalability and adaptability.

Under this demand, the development of AI will also usher in an important change. Under the trend of large-scale expansion of 100 billion-level intelligent network connection terminals promoted by 5G Advanced, the focus of AI processing will shift to the edge side. Of course, cloud computing is also essential in the process of large-scale AI training and reasoning. In this case, we can believe that mixed AI will become the future of AI.

Hybrid AI means that the terminal-side AI and cloud-based AI work together to distribute the workload of AI computing in appropriate scenarios and times to provide a better experience and make efficient use of resources.

Specifically, in some scenarios, computing will be primarily terminal-centric, diverting tasks to the cloud if necessary. In the cloud-centric scenario, the terminal will share part of the AI workload from the cloud according to its own capabilities.

At present, generative AI is setting off a new wave of AI development, and will be used in thousands of industries, while the large-scale expansion of generative AI is inseparable from the wide application of hybrid AI architecture. Because the data generated by the training, reasoning and operation of the generative AI model is very large, and the cost is high, it is difficult for the cloud economy to support. Hybrid AI can take advantage of billions of edge-side terminals that have been deployed and have AI capabilities for computing, which will greatly ease the cost pressure. In addition, hybrid AI also has incomparable advantages in terms of energy consumption, reliability, privacy security, personalized experience and so on.

Under the hybrid AI architecture, cloud-based AI and terminal-side AI need to work closely and seamlessly together, and it is 5G that can connect each other in real time. Therefore, the large-scale expansion of 5G + hybrid AI driven generative AI will undoubtedly promote the development of a new round of content generation, search and productivity-related applications. Through a wide range of billions of edge terminals as carriers, including smart phones, laptops and PC, cars, XR and a wide range of Internet of things, will really open the intelligent network edge of large-scale change.

Digital future, Qualcomm is ready to enable the digital future of 5G Advanced + mixed AI. In this MWC Shanghai, Qualcomm has discussed quite a lot and is very active. As a company focused on the development of wireless communication technology for decades, Qualcomm has been committed to accelerating the digital future through cutting-edge technologies and product innovations such as 5G and AI.

For example, in terms of 5G Advanced, it is generally believed in the industry that commercial terminals supporting 5G Advanced will officially begin to land next year, and Qualcomm has laid a good foundation for this evolution of 5G. At the beginning of this year, Qualcomm launched the world's first 5G Advanced-ready modem and RF system Snapdragon X75. Snapdragon X75 has the world's first architecture that combines millimeter wave and Sub-6GHz, is the first decliter aggregation for millimeter wave band, supports QAM-256, and also has the first Sub-6GHz downlink five-carrier aggregation, FDD+FDD uplink carrier aggregation, FDD uplink MIMO, support QAM-1024, and can provide unparalleled spectrum aggregation and capacity. Snapdragon X75 is designed to promote the expansion of 5G Advanced in subdivision areas.

Not only that, Snapdragon X75 also realizes the deep fusion of 5G and AI, it has the first tensor accelerator for 5G, the AI processing capacity is increased to 2.5 times, it has the world's first sensor-assisted millimeter wave beam management, which increases the receiving power by up to 25%. It also supports the second generation AI to enhance GNSS positioning, and the performance is improved by up to 50%, all of which perfectly meet the needs of the deep integration of 5G Advanced and AI.

In addition to the Snapdragon X75, Qualcomm also launched the Snapdragon X35, the world's first 5G NR-Light modem and RF system. The Snapdragon X35 can extend the 5G to new and rich use cases, such as smartwatches, next-generation XR glasses, and industrial Internet of things. Compared with the traditional mobile broadband terminal, the NR-Light terminal with Snapdragon X35 has smaller shape, lower cost and longer battery life.

The Snapdragon X35 also supports dual-band GNSS (L1+L5) to provide accurate positioning, which can support new industrial use cases and applications. With support for global RF bands, the Snapdragon X35 supports almost all bands, including Sub-6GHz, FDD and TDD, to meet the needs of different markets.

Qualcomm has also shown excellent leadership in building a hybrid AI architecture. We know that terminal-side AI capability is the key to enabling hybrid AI and enabling generative AI to expand on a global scale, and Qualcomm has always been the main force in the development of terminal-side AI. Qualcomm has been involved in AI for more than 15 years and has provided industry-leading AI hardware and software solutions for edge terminals such as billions of mobile phones, automobiles, XR headsets and glasses, PC and the Internet of things.

Take generative AI, for example, a few months ago, Qualcomm also implemented the world's first Android mobile phone Stable Diffusion terminal side demonstration. Stable Diffusion is a super-large neural network basic model with more than 1 billion parameters, which can generate pictures based on input text prompts. Through Qualcomm's full-stack AI optimization, the model can run completely on the terminal side, completing 20-step reasoning in 15 seconds and generating images full of details.

Also, running a generative AI model with more than 1 billion parameters in the cloud may require hundreds of watts of power, while Qualcomm needs only a few milliwatts to run on the terminal side. The ability to support terminals to complete more processing work at a given power consumption is also Qualcomm's unique advantage in the field of generative AI.

Qualcomm also makes full-stack AI optimization for Stable Diffusion. In June last year, Qualcomm launched Qualcomm AI Software Stack, a leading software stack product dedicated to edge-side AI, which can support model optimization at the software level. For example, Qualcomm supports 4-bit integer computing (INT4) capability on the second generation Snapdragon 8 mobile platform released at the end of last year, which greatly improves the efficiency of AI computing.

And through Qualcomm's AI engine Direct, Qualcomm is able to leverage hardware capabilities in the most efficient way, combined with the second generation of Snapdragon 8 industry-leading Hexagon processors, which will bring leading generative AI capabilities on terminals.

The core advantage of Qualcomm's AI software stack is that once the model is developed, it can be used in different places. It is combined with hybrid AI deployment to form a killer combination, which will help generative AI expand on a large scale on different terminals and achieve the popularity of generative AI.

In terms of AI hardware, Qualcomm can provide industry-leading energy efficiency. Among them, Qualcomm AI engine is composed of several software and hardware components, which can realize terminal-side AI acceleration on Snapdragon platform. Qualcomm AI engine uses heterogeneous computing architecture, including Hexagon processor, Qualcomm Adreno GPU and Qualcomm Kryo CPU, all designed to run AI applications quickly and efficiently on the terminal side.

In addition to the Qualcomm AI engine, another thing that can not be ignored is that the scale of the edge-side terminals deployed by Qualcomm is very large, the number of listed user terminals equipped with Snapdragon platform has reached billions, and hundreds of millions of new terminals are still entering the market every year. These terminals cover a wide range of product types, including mobile phones, cars, XR, PC and the Internet of things.

In short, Qualcomm relies on industry-leading hardware to support higher performance at given power consumption; the industry-leading Qualcomm AI software stack, and industry-leading tools such as Qualcomm AI Model Enhancement Kit (AIMET), constitute its unique advantage in enabling hybrid AI scale expansion on a global scale.

With the deep integration of 5G+AI, the deep integration of 5G and AI is bringing innovation opportunities for various industries. In the industrial sector, technologies such as stronger automation, predictive maintenance and digital twinning are driving the transformation of the industry to industrial 4.0; in the automotive field, cars are becoming "networked computers on wheels". It integrates advanced processing, intelligence and connectivity.

There is also 5G+AI, which will enable the construction of meta-universe, unbounded AR supports dynamic distributed computing, 5G API for immersive applications will bring realistic visual effects, and 5G will bring perception assistance to enhance the XR experience. In addition, 5G+AI will also promote the evolution of the wide area Internet of things, bringing more accurate positioning and RF awareness, as well as a variety of private network innovation, and so on.

And all these diversified vertical industry use cases, in the process of advancing, we will see Qualcomm's figure. As the leader and breakthrough of basic wireless technology, Qualcomm's technology and products are at the intersection of thousands of industries, cooperating deeply with the whole industry as an "enabler" and leading the development and innovation of different industries and fields, which is profoundly reflected in this MWC Shanghai Exhibition.

For example, in the exhibition, the major wireless communications industry chain enterprises show 5G and AI achievements, there are Qualcomm's help. For example, in the field of satellite Internet of things, Mega Intelligence cooperated with Qualcomm to adopt Qualcomm's latest 9205S modem to re-evolve the product capability of intelligent positioning terminal solutions by adding satellite communication functions, fully supporting 5G NB-IoT, Cat.M and two-way satellite links, providing more comprehensive and flexible communication solutions, with technical advantages such as regional coverage, all-weather and strong disaster resistance.

On the mobile communication booth, there are also satellite module products developed based on Qualcomm 9205S platform. Mobile Communications also tested and demonstrated the non-terrestrial network functions of the above-mentioned satellite communication module products, and the results are eye-catching.

And Qualcomm, together with Qualcomm, also demonstrated the NTN business based on Guanghe module, including the practices and achievements of both sides in 5G, AI, car networking and other fields. Various innovative technologies and the latest product solutions are impressive. Qualcomm is working with partners to promote the in-depth development of 5G in the vertical industry.

In addition, the Meizu 20 series of phones and Leck 08 with Flyme Auto intelligent cockpit operating system on display were also seen at the scene. Meizu 20 series is equipped with the second generation Snapdragon 8 flagship processor. Through interconnection with Flyme Auto, Meizu 20 series can provide vehicles with the ability to share computing power, data, hardware and ecology, and build a new cross-border ecological experience for users.

This includes what we call generative AI models, as well as the achievements of Qualcomm's cooperation with industry chain partners, such as the first intelligent handling robot solution with integrated large models exhibited by Chuangtong Unicom. Chuangtong Lianda deploys the Chuangda Rubik's cube language model on the TurboX C8550 intelligent module, which is based on Qualcomm QCS8550 high-performance platform, which can convert human voice instructions into text, understand intentions, plan tasks and split them, and output them to robot actuators for execution, while the reference design of intelligent handling robot solution is based on Qualcomm RB5 robot platform.

In addition to these specific achievements, Qualcomm has also actively cooperated with enterprises in the ecosystem in the development of 5G and AI technology. For example, in China, Qualcomm has jointly established five 5G joint innovation centers with local governments and partners, and completed end-to-end business verification of new 5G calls based on IMS data channels with China Mobile and a number of mobile phone manufacturers. Qualcomm's "5G Unbounded XR" solution has also repeatedly won industry awards. Driving the landing of 5G+XR use cases...

Conclusion at the GTI International Industry Conference held during MWC Shanghai, Jim Cathey, chief commercial officer of Qualcomm, said in a speech: "5G is very important to the digital future. 5G was launched at the right time, it appeared before the epidemic, realized in the early stages of AI development, and laid a solid foundation for the future 6G. The combination of 5G and AI is bringing innovation opportunities for various industries." At the same time, he also stressed that Qualcomm will continue to work closely with all partners to promote technological breakthroughs and application scenario innovation of 5G+AI.

I believe that with the joint efforts of Qualcomm and the entire industry chain, an intelligent and more convenient digital woven by 5G and AI will come in the near future.

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