Machine Learning and Artifical Intelligence
With the humanity growing ever bigger, our lives become more dynamic. This ultimately leads to us having to think more, process more information, make decisions quicker. Developing systems that are able to mimic human abilities would save us the trouble to overload ourselves with responsibilities we don’t have time for. As a solution to this we turned to machine learning and developing pilot programs in data analytics.
Machine learning
It means building automated analytical models, by using models from neural networks, statistics, operation research and physics to find hidden insights in data without being explicitly programmed as to where to look or what to conclude.
Neural networks system development
The human brain was an organ which attracted most of our attention in research. To its model of working a kind of machine learning has been inspired, called neural networks. The interconnected units (like neurons) make up a computing system which processes information by responding to external inputs, relaying the information between each unit. Multiple passes at the data are done in order to derive meaning and connections from undefined data.
Deep learning
Once we understood the complexity of the neural networks we learned how to expand them in multi-layer layout processing units by the rules of deep learning. Our projects in machine learning such as image and speech recognition apply the advantages met in computing power and improved training techniques to learn complex patterns in large amounts of data.
Computer vision
Another practical use of deep learning is made in computer vision development in accordance with pattern recognition to read and recognize content in a picture or video. A machine which can process, analyze and understand images can capture images or video in real time and interpret them
Motion detection development
The most widely used application of computer vision trialed in our company enclosure a long time ago catches the eye of ever growing customers.
Optical character recognition(OCR)
Looking for a copy center to scan a printed document can sometimes by time consuming and not very practical. Integrating optical character recognition technologies in electronic pen readers is a project we actively work on, to give our children a useful tool in their learning.
Natural language processing
It is the ability of computers to analyze, understand and generate human language, including speech. A more advanced stage of this technology is interaction with machines on the base of natural language. Humans will be able to communicate with computers using normal, everyday language to perform tasks. Practical use cases are found in security systems, automotive industry and others.