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India: +91-9927099210, 9927099219 +91-9927099075
Nepal: +977-9821880560
India: +91-9927099210, 9927099219 +91-9927099075
Nepal: +977-9821880560

Centre of Excellence – All India Council of Robotics and Automation (AICRA)

AICRA, a not-for-profit organization is the apex body, setting up standards in Robotics & Automation and education industry as well as helping over 3500+ members organizations and professionals to solve difficult technical problems, while enhancing their leadership and personal career capabilities.

RIT Roorkee has been awarded as the “Best Institute in the field of Excellence and Innovation in Robotics Education”. In its seventh year, the awards were set up to recognize the importance of science, technology, engineering and mathematics (STEM). The event was held at NDMC Convention Center, Jantar Mantra, New Delhi and Inaugurated by Shri Nitin Gadkari, Union Cabinet Minister and Minister of Micro, Small and Medium Enterprises.
 
The STEM Awards are formulated for overcoming the challenges in the key STEM sectors, set in partnership with leading employers in these sectors. The STEM Awards are organised by All India Council for Robotics Automation (AICRA).
 
For the second time consecutively, RIT was ranked first amongst the top rated Engineering Institutes in India.
 
AICRA is focused on building the architecture integral to the development of the automation sector through policy advocacy, and help in setting up the strategic direction for the sector to unleash its potential and dominate newer frontiers.

Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving

There are four types of artificial intelligence: reactive machines, limited memory, theory of mind and self-awareness.

Specification:

  • Meaning, purpose, scope, stages, applications, and effects of Artificial Intelligence
  • Fundamental concepts of Machine Learning and Deep Learning
  • Difference between supervised, semi-supervised and unsupervised learning Machine Learning workflow and how to implement the steps effectively.
  • The role of performance metrics and how to identify their essential methods
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