The Indian Institute of Technology-Hyderabad (IIT-H) has announced the launch of a full-fledged bachelor's programme in Artificial Intelligence (AI) technology from the new academic session, which is a first for the country and only the third globally.
The Institute was already offering a Masters in Technology programme in AI-Machine Learning (ML). Besides IIT- Hyderabad, only Carnegie Mellon University and Massachusetts Institute of Technology (MIT), both of which are in the US, offer full-fledged B.Tech programmes in AI.
Key Highlights
• The new course will have 20 seats and the eligibility will include clearing the JEE-Advanced test.
• The AI solutions are particularly promising for India, given the availability of a large corpus of data, where it can have a major positive impact on several critical domains such as healthcare, crop and soil management, weather prediction, surveillance and security, and defence.
• However, the demand for professionals trained in this area exceeds the current supply.
• Hence, the B.Tech programme in AI is a step in the direction of addressing this highly skewed demand-supply scenario.
• The course will focus on application verticals such as healthcare, agriculture, smart mobility, among many others.
• The students pursuing other degrees such as B.Tech in Chemical Engineering or Mechanical Engineering will be able to do a minor in AI as well from the coming academic year.
Artificial intelligence (AI) is the intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals. Computer science defines AI research as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Colloquially, the term "artificial intelligence" is applied when a machine mimics cognitive functions that humans associate with other human minds, such as learning and problem-solving. Artificial intelligence was founded as an academic discipline in 1956, and in the years since has experienced several waves of optimism, followed by disappointment and the loss of funding, which was followed again by new approaches, success and renewed funding. The traditional problems of AI research include reasoning, knowledge representation, planning, learning, natural language processing, perception and the ability to move and manipulate objects. The AI field draws upon computer science, information engineering, mathematics, psychology, linguistics, philosophy and many others. |
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