The AI & AT (Artificial Intelligence and Advanced Technology) group at Nidhi Technologies is well focused in applying advanced Machine Learning techniques such as Artificial Neural Networks and Evolutionary Computing to product development.

Artificial Neural Networks

In traditional programmed computing approach solutions are devised and implemented as algorithms in software. This approach is feasible if the process and the set of rules for solving the given problem are well understood. Neural networks, on the other hand, provide convenient solutions to problems that may be too complex for programmed computing. These networks are massively parallel systems that rely on dense arrangement of interconnections and surprisingly simple processors and learn from set of examples. These networks provide an effective approach to a broad spectrum of applications involving pattern mapping, completion and classification. Real-world applications include pattern analysis in data mining, signal detection, sensor data classification, optical character recognition, classifying medical images and visual images in industries, detecting genome sequences in the field of Biotechnology and in Robotics.

Optimization Techniques

Genetic algorithms and Genetic Programming are computational models of natural evolutionary systems. These adaptive algorithms are highly suitable for solving a wide variety of problems involving data analysis, pattern recognition, classification, prediction and in designing control systems. As a powerful search technique, these algorithms, are highly effective in optimizing neural network architecture and in developing Novel learning algorithms for a number of real-world applications.