AI in Media and Entertainment
For many years, the media has functioned similarly to the nervous system which people use to receive external information and perceive the outside world. The media’s role is to disseminate information and assist the public in learning about and judging the world around them. With the advent of the Internet, everyone now has access to the media, and the number of channels for obtaining information, as well as the number of its consumers, has grown dramatically. Smart media will change the way we communicate even more, with clicks and mouse movements aligning with biological features like voice. According to a recent Reuters Institute report, artificial intelligence in media is already being used to significant extent. Personal recommendations, news editing assistants such as fact-checking, and news flow optimization are examples of these. Furthermore, the changes brought about by artificial intelligence will impact all aspects of the media sphere. We can predict the arrival of a new era of “smart” media.
With the advent of the Internet, everyone now has access to the media, and the number of channels for obtaining information, as well as the number of its consumers, has grown dramatically.
Artificial intelligence in social media and media altogether will change the way we communicate, with clicks and mouse movements aligning with biological features like voice and face, allowing media to become more personalized and differentiated, resulting in more news.
Customer success stories
The AI Superior team developed a web application that allows users to communicate with a Custom LLM through a chatbot interface. This innovation empowers organizations to establish private, hosted
A workplace hygiene solutions company approached AI Superior with a unique task: to create a system capable of autonomously identifying when an area needed cleaning, reducing the need for
In today’s dynamic real estate market, accurately assessing the price of different zones within a city is essential for real estate professionals. However, this task has traditionally been challenging
AI Superior, in collaboration with an Ophthalmology Centre, has developed an advanced deep learning model to estimate the volume of fat and muscle in human eyes using CT and
AI Superior has developed an innovative solution for an insurance company that was seeking to provide usage-based insurance to their customers. Leveraging deep learning algorithms, AI Superior has created
AI Superior has designed an innovative solution for municipalities to rapidly detect and localise graffiti in their cities, using state-of-the-art deep learning algorithms. This real-time, high-accuracy graffiti detection system
Our Project Approach
The AI project lifecycle has been adopted from an existing standard used in software development. Also, the approach takes into account the scientific challenges inherent in machine learning projects involving software development processes. The approach aims to ensure the quality of development. Each phase has its own goals and quality assurance criteria that must be met before the next stage can be initiated.
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