Artificial Intelligence and Machine Learning | Engineering Courses- - Top Engineering College Kadapa- AITS Kadapa

Artificial Intelligence and Machine Learning

The scope of Artificial Intelligence and Machine Learning is promising in the current industry. AI has a great potential to bring a change in the economy of the current industry. Also, the best part about AI is that, there is not just one Technology under it but several other technologies including machine learning, self-improving algorithms, pattern recognition, big data, and others. The ability of a computer-controlled system to perform tasks that are mainly associated with human beings is called Artificial Intelligence (AI). The AI is a simulation of a machine’s natural intelligence that is actually programmed for communicating and learning human actions. They can perform human-like task and technologies merging with AI is continuing to grow. Machine learning is a part of Artificial Intelligence that allows software applications in becoming more accurate at predicting outcomes without the need of being explicitly programmed. The machine learning algorithms utilize historical data as an input for predicting recent output values. Machine learning is crucial as it gives the enterprise a correct view of recent trends in business operation patterns and customer behavior that supports the development of a new product. The major industries using Artificial Intelligence (AI) and Machine Learning (ML) include Agriculture, Education and Infrastructure, Healthcare, Transport, Banking, Cyber Security, Manufacturing, Entertainment, Hospitality, and others.

  • Vision & Mission
  • PROGRAM OUTCOMES(POs)
  • HOD Profile
  • Faculty List
  • Student Achievements
  • Faculty Achievements
  • Departments Events
  • Laboratories

Vision & Mission


Vision

  • To Achieve excellent standards of quality education by using the latest tools, nurturing collaborative culture and Disseminating customer-oriented innovations to relevant areas of academia and industry towards serving the greater cause of society.


Mission

  • To develop professionals who are skilled in the area of Artificial Intelligence and machine learning.
  • To impart quality and value-based education and contribute towards the innovation of computing expert system, machine learning to raise satisfaction level of all stake holders.
  • Our effort is to apply new advancements in high performance computing hardware and software.

HOD Profile

Dr.Venkata Ramana Motupalli , M.Tech, Ph.D, M.I.S.T.E.HOD

Dr.Venkata Ramana Motupalli , M.Tech, Ph.D, M.I.S.T.E.
Associate Professor and Head
Department of Artificial Intelligence & Data Science
Annamacharya Institute of Technology and Sciences
KADAPA – 516003, Andhra Pradesh

venkataramana_558@yahoo.co.in
+9885784541

Faculty Achievements

Faculty Achievements

S.No Achievements
1 Sri Dr. M. VEKATA RAMANA has published survey paper titled “AN APPROACH FOR ROUTING IN DELAY TOLERANT MOBILE AD-HOC NETWORKS USING QUADRANT-BASED LOOK AHEAD METHOD” in SCOPUS Index.
2 Sri Dr. M. VEKATA RAMANA has published survey paper titled “A COMPARATIVE REVIEW ON OBJECT DETECTION SYSTEM FOR VISUALLY IMPAIRED” in SCOPUS Index.
3 Sri Dr. M. VEKATA RAMANA has published survey paper titled “OPPORTUNISTIC ADAPTIVE ROUTING PROTOCOL FOR DELAY TOLERANT MOBILE AD-HOC NETWORKS” in SCOPUS Index.
4 Sri S. MOHAMMAD ALI has published “A CRYTOGRAPHLICALLY ENFORCED DYNAMIC ACCESS CONTROL SYSTEMS ON UMTRUSTED CLOUD” in ALOCHAMA CHAKRA, July 2021.
5 D. Jareena Begum has published paper titled “THE APPROACH OF MEAN SHIFT BASED COSINE DISSIMILARITY FOR MULTI-RECORDING SPEAKER CLUSTERING” in IJISET, July 2015.
6 Sri P. CHANDRA SEKHAR has published “IMPLEMENTATION OF PARLLEL PROCESSING METHOD THAT SUPPORT VARIOUS MIC LEARING ALGORITHMS” in IJFGCN, July 2021.
7 Sri P. CHANDRA SEKHAR has published “A CONCEPUTAL REVIEW ON MACHINE LEARING TECHNIQUES AND ITS APPLICATION” in ALOCHAMA CHAKRA, July 2021.

PROGRAM OUTCOMES(POs)

PROGRAM OUTCOMES(POs)

    Engineering Graduates will be able to:
  1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  2. Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
  3. Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
  4. Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
  5. Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
  6. The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
  7. Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
  8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  10. Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
  11. Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
  12. Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.