We invest in research and development activities in both the technology and test process space. We have in house developed frameworks for mobile and web apps automation, tool evaluation and ROI assessment. Driven with a passion to solve technical and test problems through our experience, collaboration and analysis of future trends, our dedicated multi-disciplinary research and development team focuses on developing intellectual property.
Machine Learning (ML) and Deep Learning are subsets of artificial intelligence
Project Description
Machine learning involves the usage of complex algorithms that
automatically learn and refine the learning from a vast
amount of data and data patterns. The performance of these
systems plateau after an extended period of training.
Deep learning,
on the other hand, is a subset of machine learning.
Large neural networks (complex algorithms with
brain-like functions) are constructed and trained with a huge
amount of data continuously. The performance of these networks
improves as the training increases. This results in the
development of machines that can predict outcomes through deductive
reasoning and logic.
We assist customers in identifying AI opportunities for
improved efficiency of operations. Our decade long expertise in AI and ML software
development can be leveraged to build intelligent
systems that effectively automate tedious or repetitive
tasks. Deep learning, on the other hand, is a subset of machine learning . Large neural networks
(complex algorithms with brain-like functions)
are constructed and trained with a huge amount of data
continuously. The performance of these networks improves as the training increases.