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The institution was started in 2005 by the KMR Education Trust, headed by Mr. Marri Laxman Reddy. The institute has Six UG courses along with Seven PG Courses. The institute is affiliated with Jawaharlal Nehru Technological University, Hyderabad (JNTUH). It was granted Autonomous status by University Grants Commission in the year 2015.
The institute is affiliated with Jawaharlal Nehru Technological University, Hyderabad (JNTUH), The institute has Autonomous Status till 2021-2031 A.Y. granted by UGC and offers a four-year Bachelor of Technology, in eleven disciplines and two-year Master of Technology, in six disciplines prescribed by JNTU. The college is accredited by the ...
Spread over a built-up area of over 36000 square metres on a 32-acre (130,000 m 2) campus, the college has 71 classrooms, 23 professors' rooms, 60 teachers' rooms, six air-conditioned conference rooms, 40 labs, and about 1280 computer systems, supported by UPS and continuous power back-up from generators.
Artificial intelligence engineering (AI engineering) is a technical discipline that focuses on the design, development, and deployment of AI systems. AI engineering involves applying engineering principles and methodologies to create scalable, efficient, and reliable AI-based solutions.
In computer science, computational learning theory (or just learning theory) is a subfield of artificial intelligence devoted to studying the design and analysis of machine learning algorithms. [ 1 ] Overview
Artificial Intelligence: A Modern Approach (AIMA) is a university textbook on artificial intelligence (AI), written by Stuart J. Russell and Peter Norvig. It was first published in 1995, and the fourth edition of the book was released on 28 April 2020.
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]
The components of information engineering include more theoretical fields such as Electromagnetism, machine learning, artificial intelligence, control theory, signal processing, and microelectronics, and more applied fields such as computer vision, natural language processing, bioinformatics, medical image computing, cheminformatics, autonomous ...