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Wuhan Xingtu Xinke Electronics Co.,Ltd. (688081.SH): In 2025, there will continue to be investments in R&D in the direction of AI.
According to a report on February 13 by Gelonghui, Wuhan Xingtu Xinke Electronics Co., Ltd. (688081.SH) recently stated during an institutional investor survey that the company adheres to the philosophy of open cooperation and innovative development. It will actively collaborate with major renowned AI large model manufacturers, deeply explore technological integration potential, accelerate product iteration and upgrades, and continuously enhance the market competitiveness of core products. The company will continue to invest in R&D in the field of AI in 2025, keeping up with cutting-edge technologies, and will consistently innovate and upgrade existing products around Machine Vision and large model technologies. Multimodal large models can integrate information such as text, images, videos, and audio, achieving a seamless connection between these elements.
Wuhan Xingtu Xinke Electronics Co., Ltd. (688081.SH): The deepseek-v2.5 version has already been deployed in 2024.
On February 13, Glonghui reported that Wuhan Xingtu Xinke Electronics Co., Ltd. (688081.SH) recently stated during a visit to institutional investors for research that the company has already deployed the deepseek-v2.5 version in 2024. This version has general dialogue capabilities and a powerful coding model for code processing. The company uses this large model primarily to assist in optimizing internal R&D code and improving coding efficiency. The deepseek-R1 version, released in January 2025, is an upgraded version of deepseek-v2.5. In the later training phase, reinforcement learning technology was used on a large scale, greatly enhancing.
Wuhan Xingtu Xinke Electronics Co.,Ltd. (688081.SH): The company's video intelligent computing products have entered the stage of large-scale promotion.
On February 13, Glonghui reported that Wuhan Xingtu Xinke Electronics Co., Ltd. (688081.SH) recently stated during a research session with institutional investors that the company began developing products for intelligent video computing in the civilian field in 2022. After two years of research and development investment, the company has successfully developed several general innovative products, including video computing clusters, video storage companions, efficient video transmission gateways, and mobile duty video acceleration gateways, which can effectively solve the challenges of efficient transmission and Lightweight storage in large-scale video data processing across various industries. In 2024, the company conducted a total of 281 tests across various industries, accumulating 26 classic cases.
2024 Annual Results Forecast
Wuhan Xingtu Xinke Electronics Co.,Ltd. (688081.SH): Expected loss of 72 million yuan to 88 million yuan in 2024.
On January 17, Gelonghui reported that Wuhan Xingtu Xinke Electronics Co., Ltd. (688081.SH) announced its annual performance forecast for 2024. According to preliminary calculations by the finance department, it is expected that in 2024, the net income attributable to the owners of the parent company will be between -88 million yuan and -72 million yuan. Compared to the same period last year (statutory disclosed data), the loss will increase by 4.064 million yuan to 20.064 million yuan, with a year-on-year loss expansion of 5.98% to 29.53%. It is expected that the net income attributable to the owners of the parent company, after deducting non-recurring gains and losses, will be between -93 million yuan and -.
Wuhan Xingtu Xinke Electronics Co.,Ltd. (688081.SH): Plans to raise no more than 90 million yuan through a private placement.
Gelonghui December 25 news丨Wuhan Xingtu Xinke Electronics Co.,Ltd. (688081.SH) announced a plan to issue stocks to specific objects through a simplified procedure for the year 2024, with total fundraising not exceeding 90 million yuan, and after deducting relevant issuance costs, all funds are intended for the following project: industrialization of mobile command products.