Research Areas
We have significant capability in abundance areas of research. Courses on latest research areas are provided here in. NSPL RTC provides certificates after completing the courses which will enhance your career prospects.
Research
NSPL RTC supports a number of shared research facilities and services which are open to all researchers for fundamental research in field of computer to aware people that IT is for life.
Research Assistance
The NSPL RTC supports a number of shared research facilities and services, which are open to all researchers for fundamentals research in field of computer sciences. Students pursuing masters and doctoral programs can contact us to avail these facilities and jointly we aim to create new and relevant technologies.
Major research areas are:
- Quality Assurance : Quality Assurance (QA) is the systematic process of determining whether products meet customers' expectations. ASQ's quality assurance training courses can help teach you how to avoid problems when delivering solutions or services to customers.
- Machine Learning : Machine Learning is the discipline of getting computers to act without being explicitly programmed. In the earlier period, machine learning has given us self-driving cars, practical speech recognition, and effective web search. In this course, knowledge of the most effective machine learning techniques and get chance to practice by implementing them and getting them to work for yourself.
- Artificial Intelligence : Artificial Intelligence (AI) signifies a major step forward in how computer systems adapt, evolve and learn. It has widespread applications in almost every industry and is widely considered to be the next big technological shift. Artificial intelligence will impact all segments of daily life by 2025, with applications in a wide range of industries such as healthcare, transportation, insurance, transport and logistics and even customer service. The need for AI specialists exists in just about every field as companies seek to give computers the ability to think, learn and adapt.
- Robotics : Robotics is the branch of mechanical engineering, electrical engineering and computer science that deals with the design, construction, operation and application of robots, as well as computer systems for their control, sensory feedback and information processing. Robotics is growing rapidly with the advent of big data and the IoT and machines are now capable of processing large quantities of data and learning with minimal human interaction.