AI in Space Industry
These days, artificial intelligence assumes a focal part in the innovative world and our lives more generally. The developments acquired lately ensure the goal of perplexing issues in unthinkable times.
Artificial intelligence in space exploration is a key piece of the IT system that permits present-day space organizations to develop.
This information should be accessible almost immediately and refreshed continuously by rockets and space stations, which are many kilometers. In summary, the safety of spacecraft and their passengers are guaranteed thanks to extremely powerful machines combined with the latest storage technologies. The demand for technologies expands and information should be focused on and set at the core of plan and advancement.
Customer success stories
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
AI Superior, in collaboration with international humanitarian NGO World Vision, undertook a compelling project to investigate the potential correlation between land degradation and conflicts in selected countries. By analysing
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.
Send Us a Message
Contact us to learn more about our AI solutions and how we can support your organisation in leveraging the potential of artificial intelligence