PANews reported on April 2 that DigiFT, the first regulated on-chain real-world asset (RWA) exchange licensed by the Monetary Authority of Singapore (MAS), announced its strategic expansion into the Hong Kong market. Landmark milestones in this strategic expansion include the appointment of Hong Kong's senior management team and successful selection into the Hong Kong Cyberport Incubation Program. DigiFT has appointed Mr. Kevin Loo as Chief Executive Officer of DigiFT (Hong Kong) and Ms. Shen Hao as Managing Director and Chief Development Officer of DigiFT. In February this year, the Hong Kong Monetary Authority (HKMA) issued a circular on the sale and distribution of tokenised products.

Golden Finance reported that Huang Hao, vice dean of the Hong Kong University of Science and Technology, pointed out that in terms of cognition, the survey found that only 10% of respondents believe that they have a "clear understanding" of virtual assets, while up to 73% of respondents are interested in investing in bitcoin, accounting for a large proportion of the virtual asset class. The recent crypto asset turmoil has not only aroused public attention to virtual assets and their regulation, but also made the public more conservative about investing in virtual assets. However, he believes that virtual assets have existed for more than a decade and have been able to be invested without regulation, and he believes that the implementation of regulation will be healthy for the long-term development of the industry.

According to the Economic Observer Network, Xu Hao, head of R&D at Qualcomm China, said in an interview that mobile phones are the new battlefield for large models. In Xu Hao's view, some software, hardware and compatibility and adaptation issues need to be solved. At the same time, the evolution path is to train the large model first, then discuss how to deploy it to the device and run the large model, and perform inference on the terminal (which can be understood as The need to perform tasks) comes later than the need to train in the cloud, and the outbreak may not be immediately apparent. But the trend is visible. Hybrid AI architecture is the future development direction of AI, and AI will also expand from the cloud side to the end side.

According to a report by Economic Observer.com on September 2, Xu Hao, head of R&D of Qualcomm China, said that large language models such as ChatGPT will be the first to enter mobile phones. Compared with past voice assistant applications, they can only process simple information, such as query Weather, the stock market, telling jokes, etc., big language models can answer relatively abstract and complex questions, especially through dialogue to solve problems in a targeted manner. In Xu Hao's view, some software and hardware and compatibility and adaptation problems need to be solved. At the same time, the evolution path is to train the large model first, then talk about how to deploy it to the device and run the large model, and reason at the terminal (which can be understood as The need to perform tasks) comes later than the need to train in the cloud, and the outbreak may not be immediately apparent. But the trend is visible. Hybrid AI architecture is the future development direction of AI, and AI will also expand from the cloud side to the end side.

Babbitt News, on August 8, GAC officially launched the latest research and development results of AI large-scale model technology - GAC AI large-scale model platform, which is known as "the first large-scale model platform technology in the automotive industry" and will be equipped on smart cars in the near future. Pao Hao Platinum GT debut. GAC Group stated that the GAC AI large model platform aggregates a variety of AI large models and is deeply integrated with the underlying capabilities of GAC’s intelligent network connection. It can not only call the capabilities of general large models, but also build special models based on the application scenarios of smart cars.

According to the Shanghai Securities News, on June 20, the "2023 Luohantang Digital Economy Annual Conference" was held in Hangzhou, and world-class scholars, experts, entrepreneurs, and leaders from all over the world participated in the conference. In the parallel forum of "New Stage of Financial Technology", Huang Hao, senior vice president of Ant Group, shared Ant Group's practical exploration in the field of digital finance. He believes that the new fintech technology with AI as its core is reshaping financial services.

According to 21 Finance and Economics, Hao Jingshan, deputy director of the Shenzhen Autonomous Driving Intelligent Research Center, said that the autonomous driving industry has grown from a single company to a multi-enterprise collaboration, and the industry's ecological chain has gradually been built. For the big players in the industry, how to secure a stable supply chain is the test of the future. Regarding the impact of the recently popular ChatGPT on the autonomous driving industry, Hao Jingshan believes that in the long run, large models will bring new practices to the industry, but these practices need time to verify, explore whether they are credible, repeatable, and Whether the stability and accuracy are high enough, etc.

According to the Jinshi report, Tianyancha App shows that recently, Chehejia (Zhangjiakou) Energy Service Co., Ltd. was established. The legal representative is Chen Hao, with a registered capital of 2 million yuan. The business scope includes solar power generation technical services, battery sales, biomass Technical services, artificial intelligence theory and algorithm software development, artificial intelligence application software development, etc. Shareholder information shows that the company is wholly owned by Beijing Chehejia Energy Service Co., Ltd.