Recently, the Beijing Municipal Commission of Science and Technology and the Zhongguancun Science and Technology Park Management Committee announced the list of the 2021 Beijing Science and Technology Award review committee's evaluation results. The project "Key Technologies and Applications of Multi-Modal Natural Human-Machine Interaction Driven by Cognitive Intelligence," jointly submitted by Beijing Huilan Technology Co., Ltd Tsinghua University and Peking University, won the "Second Prize of Beijing Science and Technology Progress Award."

The Beijing Science and Technology Award is established and reviewed by the Beijing Municipal People's Government, bringing together top universities, research institutes, and other institutions to participate in the evaluation. It is recognized as the most authoritative award in the field of science and technology. In this selection process, Huilan Technology Co., Ltd Key Technologies and Applications of Multi-Modal Natural Human-Machine Interaction Driven by Cognitive Intelligence" project went through multiple rounds of defense and comparison, and eventually stood out from many other projects and won the first prize. Relevant academicians and experts in the field have appraised that the project results have independent intellectual property rights, strong innovation, and overall technology has reached the leading level in China. Specifically, it has reached the international advanced level in micro-expression recognition technology, mixed information decomposition technology, and conversation intention recognition. The relevant technologies have been successfully applied in government affairs and finance industries, with remarkable economic and social benefits.

The "Key Technologies and Applications of Multi-Modal Natural Human-Machine Interaction Driven by Cognitive Intelligence" project, which won the Second Prize of Beijing Science and Technology Progress Award, is based on the AiMeta digital human interaction platform independently developed by Zhongke Huilian. It utilizes multi-modal virtual intelligence technology based on human characteristics, capturing real human expressions and movements, matching synthesized speech with expressions and movements, and utilizing technologies such as speech recognition, semantic understanding, and speech synthesis to achieve intelligent voice interaction.

The project achieved intelligent conversation by using big data collection, data mining systems, sorting, summarizing, and classifying existing open resources data and industry data, developing unified data exchange standards and systems, and combining internal and external network data based on technologies such as speech recognition ASR, natural language processing, speech synthesis TTR, and deep neural network simulation calculations (DDN). Its core technology is based on artificial intelligence technologies such as natural language processing, speech recognition, speech synthesis, deep neural networks, and ontology-based knowledge engineering methods. It also employs specific domain Chinese interactive dialogue and rapid knowledge construction methods, filling a domestic gap, and achieving the leading level in China in this field.

Winning the 2021 Beijing Science and Technology Progress Award is not the end of Huilan Technology Co., Ltd artificial intelligence interaction and metaverse related products and solutions, but a new starting point for continuous innovation in these areas.Huilan Technology Co., Ltd will continue to uphold the product development philosophy of "software is wisdom." Leveraging the opportunity of winning the 2021 Beijing Science and Technology Progress Award, Huilan Technology Co., Ltd will continue to increase research and development investment in AI interaction and metaverse-related products, and promote the implementation of application solutions.Huilan Technology Co., Ltd will continue to strengthen its underlying technology support capabilities and carry out technical research around the digital human technology line and key nodes. It will continue to optimize digital human production tools, widely apply AI technologies such as speech recognition, speech synthesis, natural language understanding, and develop new algorithms such as intelligent brain and emotion computing to enhance digital human interaction experience.