Artificial Intelligence (AI) has been around for nearly 70 years and has undergone significant evolution. The recent surge in Generative AI ChatGPT has come at an opportune moment, fitting seamlessly into the landscape.
According to forecasts by the Ministry of Industry and Information Technology's CCID Research Institute, by 2035, Generative AI ChatGPT is expected to contribute nearly 90 trillion CNY to the global economy, with the Chinese market alone exceeding 30 trillion CNY.
However, the pace of this development is incredibly rapid, and its scope is remarkably broad. Almost overnight, every industry seems to be talking about AI, Generative AI ChatGPT, and large models. Such prosperity can feel somewhat surreal.
In reality, the popularity of Generative AI ChatGPT stems from years of accumulated technological advancements. It also reflects the industry's need for a new breakthrough and the widespread anticipation for it to truly revolutionize various sectors, transforming both work and daily life for people at all levels. As a leading figure in the semiconductor industry, Intel is at the forefront of the AIGC wave. With its comprehensive portfolio of AI products and industry solutions, coupled with unparalleled industry influence, Intel is taking AI PCs to new heights.
In December last year, Intel introduced the all-new Core Ultra, featuring the most significant architecture overhaul in over 40 years. Tailored specifically for AI, it marks the beginning of a new era for AI PCs.
With the collaboration of CPU, GPU, and NPU, the three major AI engines, users can now run locally offline with a 20-billion-parameter LLM language model, producing high-quality images and videos, turning creativity into reality.
The CPU section combines performance cores with efficiency cores to deliver higher data throughput. The new Iris Xe GPU provides approximately twice the performance-to-power ratio. Meanwhile, the NPU offers better support for continuous AI application operation, leading to improved battery life. Intel has expanded its AI PC offerings beyond the consumer market and into the enterprise sector. At the end of February this year, during the MWC Barcelona event, Intel officially unveiled its AI PC tailored for the vPro commercial platform. At the heart of this offering lies the Intel Core Ultra, promising enhanced productivity, security, manageability, and stability for commercial customers.
We've previously provided a detailed introduction to the features and performance of commercial AI PCs, so I won't go into detail here. For those interested, please refer to: Intel releases new vPro commercial AI PC: AI professional performance soars 12 times This year, there will be over 100 new commercial AI PCs hitting the market, including over 90 laptops, desktops, and over 10 entry-level workstations, with over 30 of them passing Intel Evo's rigorous certification. Interestingly, Xiaomi is also among the brands. In any field, regardless of the technology involved, concepts take a backseat to the critical aspect of practical application and genuine disruptive experiences, whether on the consumer or enterprise side, particularly for enterprise clients who prioritize stability, longevity, and scalability.
Recently, Intel, in collaboration with over 35 independent software vendors (ISVs) and 10 OEM partners, has shared insights into the product and industry applications of commercial client AI PCs, bridging the "last mile" gap in industry implementation.
Intel has taken this opportunity to further showcase the formidable capabilities of the Core Ultra processor CPU+GPU+NPU trio, effectively meeting the three major tenets of AI PC AIGC: Economy, Physics, and Data Confidentiality.
According to Intel, these three tenets have been proposed based on the actual implementation scenarios of AI PCs, guiding the direction for AI PCs:
AI PC Assistant:
Users can utilize it to apply AI processing to their PC, personal files, photos, videos, and more, essentially having an intelligent and reliable assistant at their disposal. For instance, the SmartAI PC Assistant can handle multiple requests at once: it can mute the computer, switch to high-performance mode, open previously viewed files or documents, all without needing specific instructions. Summarizing and synthesizing documents is a breeze for it as well.
AI Office Assistant: The AI Office Assistant provides AI support for various work scenarios and languages through plugins for the Office suite, enhancing office efficiency. Hainan OuFeiSi (Extended Office) demonstrates how to efficiently process emails, spreadsheet data, and automatically generate work documents using AI. Zhongke Chuangda demonstrates how to quickly draft legal documents using AI and utilize AI intelligent analysis of litigation cases to provide professional document writing capabilities.
Local Knowledge Base for AI: For knowledge-intensive domains, RAG-based applications facilitate the sharing of knowledge among individuals and businesses, enabling them to leverage knowledge more fully and efficiently. Xinghuan Information Technology demonstrated how AI can be utilized to build a local knowledge base for finance, making vast repositories of knowledge easily accessible to users.
AI Multimedia Processing: AI not only aids users in image generation and post-processing, including local image detail enhancement and style transformation, but it also generates short videos, 3D models, and time-lapse videos, while intelligently creating slow-motion effects, among others. In the commercial sector, ByteRain Technology demonstrated the utilization of AI to produce high-definition slow-motion videos and showcased how slow-motion is employed for efficient defect detection on production lines, effectively identifying issues.
AI PC Management: AI applications can enhance remote management, security protection, cross-device IT management, and operations, making the management of AI PCs more effortless and efficient. ZhiPu AI demonstrated intelligent control and Q&A, intelligent document processing, as well as presentation and video demonstration capabilities for PCs. Shenzhou Yino shared an intelligent asset management solution for enterprises, leveraging AI models to intelligently manage various assets, conduct rapid inventory, analysis, generate data reports, and help enterprises reduce costs and increase efficiency. In various industries, Intel has collaborated with local ISV software vendors to develop full-stack AI solutions based on AI PCs, aiming to reduce costs, increase efficiency, and drive digital transformation across sectors.
For instance, in the education sector, deploying large language models on AI PC terminals significantly enhances teachers' lesson preparation efficiency and improves the quality of materials.
In the healthcare industry, deploying large models on AI PCs can aid in drug target discovery, thereby increasing the efficiency of drug development.
In the rehabilitation and elderly care sector, utilizing AI PCs and motion capture technology allows for health assessment and rehabilitation exercise guidance for the elderly.
In government office settings, considering the need for data privacy control, AI PC terminals are well-suited for deploying local large models to enhance office efficiency.
Nanjing Yingqi Intelligent Technology leverages Intel Core Ultra processors and the OpenVINO deep learning toolkit to create cost-effective, high-quality digital human solutions. These solutions enable the rapid generation of lifelike digital avatars and achieve fast and accurate intelligent Q&A capabilities. In 2024, it's safe to say that it's truly the dawn of AI-powered PCs and the industrialization of AI applications. There are countless possibilities waiting for the entire industry to explore.
Currently, Intel has brought together over 35 local ISV vendors and more than 10 OEM vendors to jointly promote the major trend of AIGC and AI PC. The advent of AI-powered PCs in the commercial market allows more and more enterprise customers to experience new applications, new scenarios, and new forms of AI empowerment. This marks an important step in the development of AI PCs, which will undoubtedly greatly promote the widespread accessibility of AI and accelerate the realization of ubiquitous AI.