Artificial Intelligence and Machine Learning Artificial intelligence (AI) and Machine Learning (ML) are two correlated concepts under Computer Science. These two technologies are the most trending ones for creating intelligent systems.  AI and ML are related to each other but are different in terms of their functions. AI can be defined as a concept that simulates human thinking capability and behaviour, whereas, machine learning is a subset of AI that allows machines to learn from data without being programmed explicitly. Artificial intelligence (AI) is intelligence Continue reading →

Natural Language Processing Natural language processing (NLP) has recently come under the lime for representing and analysing human language computationally. It is a tract of Artificial Intelligence (AI) and Linguistics, dedicated to make computers understand the written or spoken statements or words in human languages. It has spread its applications in various fields such as machine translation, email spam detection, information extraction, summarization, medical, and question answering etc. The ultimate objective of NLP is to read, decipher, understand, and make sense of the human languages in a Continue reading →

Image Processing This is a research group under the Computer Science and Engineering Department at National Institute of Technology, silchar.  This group is dedicatedly working on understanding visual processes and finding solutions for the outstanding problems in visual processing and perception, as well as artificial intelligence, machine learning, Medical Imaging and intelligent systems for a wide variety of applications. This group also focused on pushing the boundaries of AI by tackling the key operational challenges surrounding widespread adoption of AI and enabling AI to become Continue reading →

Quantum Computing Quantum computing exploits the power of quantum mechanics for computation. Quantum bit or Qubit allows the existence of three states 0, 1, or both. There are various classical algorithms like np, which take a longer computational time. The computational time is possible to reduce with the help of superposition and Entanglement in quantum computing. Some well-known quantum algorithms are the Deutsch algorithm, Deutsch-Jozsa algorithm, QFT, Shor algorithm, Phase estimation, Grover search etc. The main obstacles of quantum computing are Decoherence, Quantum noise, physical Continue reading →

Network Security Network security is a broad term that covers a multitude of technologies, devices and processes. In its simplest term, it is a set of rules and configurations designed to protect the integrity, confidentiality and accessibility of computer networks and data using both software and hardware technologies. Every organization, regardless of size, industry or infrastructure, requires a degree of network security solutions in place to protect it from the ever-growing landscape of cyber threats in the wild today. [Source] Faculty Members: Dr. Ripon Patgiri, Assistant Continue reading →