The hottest topic in the IT world in 2023 is AI, and it will continue in 2024. Therefore, in addition to the upgrade of AI computing power in the cloud to the development of intelligent computing, the terminal side has also ushered in a new round of AI popularization, covering various products such as PCs, mobile phones and even cars, and also making AI PCs move from concept to "standard", almost all OEMs have layouts, and more than 200 models are expected to be unveiled in 2024.
It is worth noting that AI has been implemented on the PC side for several years, and has formed applications such as intelligent noise reduction, ** meeting background replacement, and performance optimization. Through several years of development, on the one hand, we can see that the AI applications on the PC side continue to be enriched and can provide more intelligent experiences in scenarios such as office and entertainment, but on the other hand, for AI PCs, how to propose "innovation" and "differentiation" has also become an inevitable challenge...After all, users are likely to have such doubts in their minds, even without AI PCs, "I am already using these functions".
Therefore, for the development of AI PC, although the entire ecosystem is being laid out, both inside and outside the industry have different views on this "new concept", some are actively promoted, and some are not so optimistic. So as one of the most critical differences between AI PCs and traditional device-side AI, what are the views of large models on the development of AI PCs in 2024? Let's take a look.
The following are the eight items given by the large model (the content is slightly edited, and the ** in the text is generated by the large model):
1. Popularization of AI chips.
According to market research firm Gartner**, by 2024, more than 50% of PCs will be equipped with AI chips. This means that AI technology will become more deeply rooted in the hearts of the people and become the standard configuration of computer hardware. The application of AI chips will bring more powerful data processing capabilities to PCs, improve operational efficiency, and bring users a smoother and more intelligent experience.
2. Voice assistant and intelligent interaction.
As an important part of AI PCs, voice assistants will usher in new breakthroughs in 2024. According to Statista, the global voice assistant market is expected to reach 183 by 2024200 million US dollars, with a compound annual growth rate of 156%。With the continuous advancement of voice recognition technology, users will be able to complete complex operations with simple voice commands, further improving work efficiency.
3. Intelligent heat dissipation and energy-saving technology.
With the popularization of AI chips, how to effectively dissipate heat has become a major challenge for PC manufacturers. According to market research firm IDC**, by 2024, more than 75% of PCs will be liquid-cooled. Liquid cooling can greatly reduce the operating temperature of the PC, improve stability, and reduce noise, creating a more comfortable environment for users. In addition, energy-saving technology will also become an important development direction of PCs in the future, helping users save energy costs.
Fourth, personalization and customization.
With the increasing demand for personalization among consumers, AI PCs will pay more attention to user customization experience. From the exterior design to the hardware configuration, users can choose and adjust according to their needs and preferences. The introduction of AI technology will enable computers to more intelligently adapt to user habits and scene needs, and provide more personalized services.
5. Cloud convergence and edge computing.
In the development of AI PCs, cloud convergence and edge computing will become key technologies. By shifting data storage and processing power from centralized data centers to edge devices, users can achieve faster response times and lower latency. This will result in a smoother and more efficient user experience for users. At the same time, cloud convergence and edge computing will also provide AI PCs with more powerful scalability and customization to meet the needs of different industries and scenarios.
6. Biometrics and Security Enhancements.
As cybersecurity threats continue to escalate, AI PCs will face greater challenges in terms of security. Biometric technologies such as fingerprint recognition, facial recognition, and iris recognition will be widely used in AI PCs to improve system security. In addition, AI technology will also be used to detect and defend against cyber attacks and ensure the security of user data.
7. Integration of virtual reality and augmented reality.
Virtual reality (VR) and augmented reality (AR) technologies will play an increasingly important role in AI PCs. By combining VR and AR technology with AI, users can have a more immersive and interactive experience. For example, when using AR technology for ** shopping, users can try on virtual clothing at home; In education, VR and AR technologies will provide students with a more realistic learning environment. The VR and AR market is expected to reach $30.9 billion by 2024, growing at a CAGR of 364%。The development of AI PCs will further promote the popularization and application of VR and AR technologies.
8. Integration and synergy of ecosystems.
The development of AI PCs is inseparable from the support of the entire ecosystem. In the future, PC manufacturers will pay more attention to cooperation and collaboration with software developers, content creators, and other related industries. By establishing a complete ecosystem, we provide users with a richer and more diversified service experience. At the same time, the ecosystem will also promote innovation and technological advancement, driving the sustainable development of the entire industry.
Write at the end. The ** of the large model is still "reasonable", which mentions a very important point, that is, ecology. In terms of the underlying computing power, the current PC can support a local large model with 20 billion parameters, but for users, more "media" - software and even application scenarios are needed to release these computing power. Therefore, whether it is Intel, NVIDIA, or AMD, while improving computing power, they are embracing developers and turning AI performance into productivity and experience around user needs.
In 2024, the emergence of AI PCs may bring the productivity and creativity of computers to a higher level, and there will also be opportunities to create some "new" interaction methods, or realize the intelligent experience of device-edge-cloud integration. At the same time, we must also see the reality that although 2024 is called the "first year of AI PC", more devices may still be "AI ready PC", and industrial cooperation and software and hardware collaboration can accelerate the arrival of the "AI on PC" stage. In the face of large models, the future is full of infinite possibilities in the AI PC era, let's wait and see!