Technology Based Training
Faculty of the department are training the students on recent and demanding technologies. They are actively engaged in the various thrust areas. Some of them are listed below:-
Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.
It is digitized, decentralized, public ledger of all financial transactions. The use of crypto currencies and evolution of peer-to-peer computing has made it essential the adoption of block chain technology in variety of domains. The application ranges from supply chain management, insurance sector to healthcare. The researchers are working to develop standard solutions specific to a sector such as supply chain management. One such initiative is Hyperledger technology by Linux foundation.
Internet of Things (IOT)
IOT is network of smart devices capable of sending and receiving information. The proliferation of IOT is further enhanced by the Edge and Fog computing. The department has signed MoU with the industry to train the students in evolving technology.
It has become essential and hard to manage the one’s life and businesses. The solutions developed so far are becoming obsolete and not suffice to control the entity. Presently solutions equipped with AI are required to enhance and automate the designed scripts. Researchers are working on to propose AI and Deep learning based solutions to manage fast changing scenarios in domain.
Data science is a multidisciplinary blend of data inference, algorithm development, and technology in order to solve analytically complex problems. The data scientists help the industry in making better decisions based on historical evidences.
The applications ranges from healthcare to banking, its almost everywhere. Recently studies in the area are going on emotion classification from videos, Sentiment analysis and Disease prediction etc.