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Nowadays, AI learns in the same way humans understand objects in several ways. Multimodality was developed based on the idea that AI needs to learn the same way humans do to communicate with them
Let's look at some notable examples of media forgery, and examine areas where forgery prevention technologies can be applied as well as the rival companies that competes in this field.
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As AI technology advances, the demand for AI services is increasing. The process of building an AI service involves a lot of work. For example, one of them includes creating a correct answer for training and finding a model with high training efficiency. The performance of AI technology will be compromised if activities in the process, albeit small one, are performed negligently. As a result, many researchers and developers still carry out the work manually. Of the numerous tasks involved in the process, the most basic and the most labor- consuming task is labeling, which involves making a correct answer for the data.
With COVID 19 pandemic driving the need for digital workplace, it is becoming more important to integrate into one system information of various quantity and quality scattered across company and to search for right information for timely insights. In response to these demands, there is a growing interest in Question Answering (QA) system that is adept at smartly answering users’ questions with respect to a large volume of documents. This is a reason why the need has emerged for natural language processing and natural language understanding technology such as machine reading comprehension and semantic search that are associated with finding the right information quickly and accurately.
