Communication Method Using Artificial Intelligence: Transforming the Future of Computer Interactions
Patent number: US20240106722A1
In the ever-evolving landscape of artificial intelligence (AI), effective communication between computers has become a critical challenge. As the quantity of AI models continues to increase, the need for transmitting large model files during AI services has emerged as a significant obstacle. This predicament not only occupies a substantial amount of transmission resources but also poses difficulties for the management, deployment, and application of AI models. However, a groundbreaking patent from Huawei Technologies Co., titled "Communication Method Using Artificial Intelligence and Communication Apparatus," introduces a revolutionary approach to address this core problem in the world of AI.
The patent unveils a communication method that leverages AI capabilities to enable computers to exchange information more efficiently. It involves a process where one computer acquires information about an AI model from another computer. This AI model consists of numerous smaller models, and the first computer can determine which specific smaller models it requires for the desired AI service. Alternatively, the second computer can also make this determination. The crucial information transmitted between the computers contains the selected smaller models, empowering the first computer to perform the desired AI service effectively.
By simplifying the exchange of AI models, this patent promises to revolutionize the way computers communicate and collaborate in the world of artificial intelligence. As a result, a future where seamless AI interactions become the norm beckons.
Imagine a world where computers can effortlessly share AI models, significantly reducing the transmission resources required for AI services. Industries like industrial high-precision detection and self-driving cars can reap the benefits of this innovative communication method. In such scenarios, computers with robust computing capabilities can identify subsets of high-precision sub-network models or model identifier groups with complex network structures and utilize them for the required tasks. Similarly, in satellite communications, optimal use of transmission bandwidth by determining high-precision sub-network models or model identifier groups becomes possible with this breakthrough patent.
Furthermore, the advantages provided by this innovative communication method extend beyond resource optimization. Consider a situation where the first communication apparatus sends indexes corresponding to the model IDs of a select number of sub-network models to the second communication apparatus. In return, the second communication apparatus receives these indexes. This mechanism greatly reduces information overhead, ensuring more efficient communication between computers. Similarly, the first communication apparatus can share indexes corresponding to the model IDs of specific sub-network models with the third communication apparatus, promoting streamlined communication architecture and optimizing resource utilization.
While the potential impact of this patent is immense, it is important to note that being a patent, there is no certainty about its future appearance in the market. However, it is evident that this innovative communication method has the potential to revolutionize the AI landscape by streamlining interactions and optimizing resource allocation. The possibilities of enhanced precision, reduced transmission overhead, and improved deployment of AI models beckon a future where computers communicate seamlessly using artificial intelligence.
P.S. It is essential to mention that this article is based on a patent and does not ensure its availability in the market for practical use.