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IIT Hyderabad Announces India’s First AI Course

The course will also focus on application verticals such as healthcare, agriculture, smart mobility, among many others.

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AI has the potential to increase India's annual growth.
AI has the potential to increase India's annual growth. pixabay

Indian Institute of Technology-Hyderabad (IIT-H) on Thursday announced the launch of a full-fledged bachelor’s programme in Artificial Intelligence (AI) technology from the new academic session, a first for the country and only the third globally.

IIT-H is already offering an Masters in Technology programme in AI-Machine Learning (ML). Besides IIT, Carnegie Mellon University and Massachusetts Institute of Technology (MIT), both of which are in the US, offer full-fledged B.Tech programmes in AI.

The new course will have 20 seats and the eligibility is clearing the JEE-Advanced test.

Artificial Intelligence Bot
Artificial Intelligence Bot. Pixabay

“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,” Sumohana Channappayya, Dean (Research and Development), IIT-H, said in a statement.

“However, the demand for professionals trained in this area far exceeds the current supply. The B.Tech programme in AI is a step in the direction of addressing this highly skewed demand-supply scenario,” Channappayya added.

Further, Channappayya noted that the potential for AI to improve the quality of human lives is tremendous. This program will train students in the fundamentals of computer science, AI and ML, in addition to sensitising them to the ethical issues in deploying AI-based solutions.

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The course will also focus on application verticals such as healthcare, agriculture, smart mobility, among many others.

Students pursuing other degrees such as B.Tech in Chemical Engineering or Mechanical Engineering can now do a minor in AI as well from the coming academic year, the statement said.  (IANS)

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US Chipmaker Intel Eyes AI on ‘Edge Computing’

It is designed to accelerate AI tasks, particularly ones like image processing, delivering performance up to six times the power efficiency of existing processors

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Intel on Wednesday unveiled eight additional 10th Gen Intel Core processors for modern laptop computing.
Intel on Wednesday unveiled eight additional 10th Gen Intel Core processors for modern laptop computing. Pixabay

US chipmaker Intel Corp. has said that it will focus on “edge computing” that could hold the key to the success of artificial intelligence (AI) in the future.

Edge computing refers to the practice of storing data on computers located near cell towers and other network equipment to improve network response times. It is different from today’s Cloud-based system, where information is sent to a distant data centre, Yonhap news agency reported on Wednesday.

“Forty-three per cent of AI tasks will be handled by edge computing in 2023,” Kwon Myung-sook, CEO of Intel Korea, said in a statement during a forum in Seoul.

“AI devices empowered with edge function will jump 15-fold.”

The expansion of computing at the edge is an important growth opportunity for the chip giant — an estimated $65 billion market by 2023, Intel said.

Huawei, Atlas 900, World
The future of computing is a massive market worth more than two trillion US dollars. Pixabay

More AI is being incorporated into edge devices, from Internet of Things (IoT) devices to smartphones, as AI algorithms improve, according to the company.

“Innovation in edge computing has become necessary where data is most produced,” Kwon said. “It is why Intel is preparing a platform solution that can cover both hardware and software.”

Intel said AI will support and provide new services in eight key industries, including smart cities, robots and gaming.

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In order to do so, Intel said it will launch the next-generation Movidius Vision Processing Unit next year.

It is designed to accelerate AI tasks, particularly ones like image processing, delivering performance up to six times the power efficiency of existing processors. (IANS)