Chudovo launches Artificial intelligence/Machine learning direction
Chudovo OÜ gradually moves to the next development step and starts the investigation in the field of AI/ML. High-qualified professionals with great experience in this area already started their work from the beginning of April. Developers founded a common language with other team members from another countries and easily entered the project, what will definitely contribute to achieving better results.
What is actually AI/ML?
Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines. It involves machines that can perform tasks that are characteristic of human intelligence. For AI are typical such things as planning, problem solving, understanding language, recognizing objects and sounds. AI processes include learning (the acquisition of information and rules for using the information), reasoning (using the rules to reach approximate or definite conclusions) and self-correction.
Machine learning is simply a way of achieving AI. It is a data analytics technique that teaches computers to do what comes naturally to humans and animals: learn from experience. Machine learning algorithms use computational methods to “learn” information directly from data without relying on a predetermined equation as a model. The algorithms adaptively improve their performance as the number of samples available for learning increases.
Main goals
Development team will face with most challenging tasks. Among first topics, which should be carefully worked out, are following:
- Face recognition
- Brand recognition
- Anomaly detection
Face Recognition it is a technology for identifying a person from video frame or digital image. As images can be captured from a distance the identification does not require interacting with the person. In comparison with other technologies (recognition through fingerprint, palmprint or iris) non-contact process of face recognitions brings a lot of advantages.
Brand Recognition is a technology for identifying a brand by its main attributes (for example, through visual or auditory signifiers like colors, slogans, logos, jingles or packaging).
Anomaly detection is a technology for identifying events or items, which do not conform to an expected pattern in a dataset. These anomalous items have the potential of getting translated into some kind of problems such as structural defects, errors or frauds.
Chudovo OÜ believes that with persistence, desire and hard work it is always possible achieve great goals. We hope that in nearest future all the efforts of our team in the field of AI/ML will bear good results.
