Technology perspective

Influence of VSI technology on AI industry

2022-07-08 11:26

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Since the 21st century, the characteristics of artificial intelligence technology as the main driving force of future science and technology have become clear. Countries around the world are scrambling to layout the artificial intelligence industry and seize the highland to control the future. For example, Google in the United States and China have also issued a strategic plan for the development of artificial intelligence, which is promoted as a whole from the national strategic level. The VSI system, a multimodal AI analysis and application automatic generation platform of Daiming technology, is guided by the existing key AI problems, leads innovative technologies, and is committed to public safety, transportation, high-speed rail, health, medical treatment, energy, education and other industries, which is in line with the development plan of China's new generation of artificial intelligence.

Current AI analysis platforms are locked by manufacturers, and users cannot choose software and hardware, algorithms, models, and ecosystems according to their own wishes. If users' analysis applications are just supported by manufacturers, they can do single point applications. However, for single process and combined application needs, even large manufacturers cannot meet the personalized adjustment needs of similar and different types of users at this stage.

1.The impact of VSI on the AI industry is huge:

(1)It allows AI personnel to get rid of the trouble caused by business process coding, and use software to automatically adapt algorithms, models and hardware, so that AI personnel and users can focus on improving algorithms and models, and then dynamically load new algorithms and models. For example, famous algorithm and model manufacturers can use this platform to quickly meet the diversified needs of users and promote the large-scale deployment of business.

(2)We have made preparations in advance for the future multimodal deep learning (MMDL). First, the video and IOT sensor data are uniformly accessed, and the business arrangement can be based on the data fused in the early stage; Second, the multimodal model can be directly loaded into the processing block of the platform to check the analysis effect.

2.The impact of VSI on non AI industries is huge:

(1)It allows professionals in the IT industry to get rid of the trouble of learning AI. IT personnel can help users arrange business processing processes, load different AI algorithms and models, and compare analysis results without code level adjustment. It personnel can deploy this platform in local embedded devices or server clusters, or in the cloud of cloud computing manufacturers to help cloud manufacturers increase user needs and avoid infringing on user privacy.

(2)Non IT professionals can get rid of the trouble of learning AI and programming. Industry researchers can get the expected analysis results by focusing on arranging the business processing process. If you are not satisfied with the analysis process, you can adjust (add) the processing block. If you are not satisfied with the accuracy of the analysis results, you can work with AI personnel to improve the algorithm and model of a specific scene, and then dynamically load the new algorithm and model.

(3)It is of great help to integrators in various industries. The common but personalized analysis needs of ordinary users can be met through simple adjustment of the editor provided by the platform. On the other hand, integrators use our AI application generation platform, which can face different hardware solution manufacturers, different algorithm models, and different AI frameworks.

Source: Daiming Technology

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