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HITSEEE 2022   I
Last Date for Applying HITSEEE 2022 :     Phase-II : 12 June 2022     I     Entrance Examination: Phase-II : June 16 to 18, 2022     I     Publication of Rank List: June 20 2022(Phase-I & Phase-II)    I     Counselling Dates: June 24 to June 30, 2022(Phase-I & Phase-II)
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Last Date for Applying HITSCAT 2022: 18 June 2022    I     Entrance Exam Dates: June 22 to 24, 2022    I     Publication of Rank List: June 27 2022    I     Counselling Dates: June 30 to July 02, 2022

Specialization in Artificial Intelligence

  • Specialization in Artificial Intelligence

About the Course

Artificial intelligence aims to make systems capable of human-like decision-making and action. Autonomous devices, like robots, use machine learning approaches to combine algorithms with experiences.AI is set to disrupt practically every industry imaginable, and mechatronics is no different. The powerful combination of mechatronics and AI/ machine learning is opening the door to entirely new automation possibilities.

Artificial intelligence and Virtual Reality and Robotics laboratories at Mechatronics Engineering programme provides state of art facilities for the students to excel in development of AI systems

Salient Scope

This specialization covers statistics, neural networks and deep learning, computer vision systems, and intelligent mechatronics which enables creation of sophisticated systems capable of fulfilling useful physical tasks that can be applied to many industries.

Salient Features

  • Data Analytics AI and machine learning both help mechatronic systems understand physical and logistical data patterns to be proactive and act accordingly.
  • Sensing and Actuation AI is helping mechatronic systems detect items they?ve never seen before and recognize objects with far greater detail. Mechatronic systems that interact with environment using AI and machine learning help to adaptively with an object.
  • Motion Control machine learning helps mechatronic system with dynamic interaction and obstacle avoidance to maintain productivity.

Career Opportunities

It is an emerging field and presents flexible opportunities with diverse engineering backgrounds. Some of the prospects are given below:

  • AI data analysis
  • Machine learning applications in manufacturing industry
  • Service Robotics
  • Industrial Automation
  • Condition monitoring
  • Modeling and simulation of advanced automation systems
  • Virtual reality

Duration : 4 Years