Artificial Intelligence
Artificial Intelligence
AI can perform tasks on its own or in combination with other technologies (e.g. sensors, geolocation, robotics), it can perform tasks that would otherwise require intelligence or intervention of human. Digital assistants, GPS guides, autonomous vehicles, and general AI tools (like Open AI's GPT Chat) are just a few examples of AI in our daily news and everyday lives.
Artificial intelligence has gone through many rounds of hype, but even for skeptics, the release of ChatGPT seemed to mark a turning point. The last time AI was this strong there were breakthroughs in computer vision, but now the leap forward is in natural language processing (NLP). Today, synthetic AI can learn and synthesize not only human language but also other types of data including images, videos, software code, and even molecular structures.
Applications for AI are growing every day. But as the hype around the use of AI tools in business begins to spread, conversations around ethics and who is responsible become extremely important.
AI reacts
Reactive AI technology is technology capable of analyzing the actions of oneself and one's opponents. From there, the most perfect strategies can be devised.
Limited memory AI
This AI technology can automatically recognize unexpected situations. In addition, it can also suggest the best treatment directions.
Theoretical AI
This AI technology can think for itself and learn from things around it to apply itself to a specific task. Not feasible at present.
Self-aware AI
This AI technology is conscious of itself and behaves like a human. In addition, it also has human emotions. Not feasible at present.
AI is Integrated into many different technologies
- Automation: Helps a system have automatic processing capabilities. Using robots in industries such as industry, mechanics can be programmed to perform repeatable tasks in large quantities.
- Machine learning: The research and development of techniques that allow systems to “learn” automatically from data to solve specific problems.
- Machine vision: This technology helps capture and analyze image information using a camera, convert it to a digital signal, and process it. Machine vision can be programmed to see through walls, etc. Applied in signature recognition and medical image analysis.
- Natural language processing: This is the processing of human language by a computer program.
- Robotics: Robots are often used to perform tasks that are difficult for humans. They are used in assembly lines to produce cars or by NASA to move large objects in space.
- Self-driving car: Uses a combination of computer vision, image recognition, and deep learning to build the ability to automatically steer a vehicle while staying in a given lane and avoid unexpected obstacles, like pedestrians.
AI applications in practice
Software solutions
Modules of the ERP system
Industry-specific solutions
Improve management, create the future
Mechanical Production Industry
Production norms and complete production methods.
Rental Service Industry
Control and evaluate the quality of services provided.
Real estate and construction industry
Manage project items, estimates and construction progress.
