This growth is further accelerating through investments in emerging technologies in artificial intelligence, especially the proportion of 21%, and is expected to grow even more in the coming years. It can be said that 2019 will also have an upward trajectory.
What is a good AI business model? What is the difference between AI business model and SAAS?
How far has artificial intelligence research developed over the past two decades? Global information analysis company Elsevier shares its findings.
Compared to other fields, machine learning/artificial intelligence now seems to have a super-funny development with higher frequency.
Applied Data Science is a highly interdisciplinary team movement. The diversity of perspective is important! In fact, opinions and attitudes are at least as important as education and experience. If you want to make data useful by making intelligent engineering methods, then this is my view of the order in which the team evolves.
AI seems to be omnipotent in some people's eyes, but it is not. In this paper, some principles will be given to determine the circumstances under which artificial intelligence (AI) is useful.
Let's take a look at how AI and machine learning affect today's technology, because when AI really changes the world, it may be too late to understand these effects.
This article will show you how to improve your artificial intelligence training by optimizing your dataset to get better results.
AI is not a brand new thing, he has been developing for decades! Below we introduce the most representative 3 development stages.
AI is not a panacea, so what can AI do and can't do?