Shulou(Shulou.com)11/24 Report--

Thanks to CTOnews.com netizens for the delivery of clues about the past. CTOnews.com news on August 11, at the announcement meeting of patent public implementation policy in Zhejiang Province today, Aridamo House (Lakeside Laboratory) announced that it would open 100 AI patent licenses free of charge to the public to support small and medium-sized enterprises to use AI at low cost.

Ali Damo said that at present, AI is setting off a new round of technology wave, promoting the progress and development of thousands of industries, but for small and medium-sized enterprises, how to use AI technology for business innovation is always a problem, because the threshold for AI technology research and development is too high, AI patents are mostly in the hands of a small number of enterprises and universities.

According to reports, Aridamo's free opening of 100 AI patent licenses will be included in the country's first patent public implementation list, on the shelf in Zhejiang intellectual property Trading Center, covering image technology, video technology, 3D vision and many other AI technology fields. There is no shortage of patents with a wide range of applications, such as "traffic light perception", "suspected infringement picture detection", "time series data prediction", "point cloud data processing", "intelligent subtitle generation" and so on.

According to CTOnews.com 's previous report, Alibaba has laid out many aspects of AI technology, and has already launched the Tongyi Thousand questions AI model. On August 3, Aliyun Open Source Thousand ask 7 billion parameter model, including general model Qwen-7B and dialogue model Qwen-7B-Chat, both of which have been launched in the Muta community, open source, free, and commercially available. The move makes Aliyun the first large technology company in China to join the open source ranks of large models.

Ali's Dama House recently partnered with Dalian University of Technology to launch an AI framework called HQTrack, which is now open source in GitHub. The framework is mainly composed of video multi-target splitter (VMOS) and mask optimizer (MR), which aims to "achieve high-quality tracking of any target in video".

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