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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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Researchers Can Now Detect Heart Failure with 100% Accuracy with the Help of Artificial Intelligence

Conversely, their new model uses a combination of advanced signal processing and machine learning tools on raw ECG signals, delivering 100 per cent accuracy

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Artificial Intelligence Bot
Artificial Intelligence Bot. Pixabay

With the help of Artificial Intelligence(AI), researchers have developed a neural network approach that can accurately identify congestive heart failure with 100 per cent accuracy through analysis of just one raw electrocardiogram (ECG) heartbeat.

Congestive heart failure (CHF) is a chronic progressive condition that affects the pumping power of the heart muscles. Associated with high prevalence, significant mortality rates and sustained healthcare costs, clinical practitioners and health systems urgently require efficient detection processes.

The researchers have worked to tackle these important concerns by using Convolutional Neural Networks (CNN) – hierarchical neural networks highly effective in recognising patterns and structures in data.

“We trained and tested the CNN model on large publicly available ECG datasets featuring subjects with CHF as well as healthy, non-arrhythmic hearts. Our model delivered 100 per cent accuracy: by checking just one heartbeat we are able detect whether or not a person has heart failure,” said study researcher Sebastiano Massaro, Associate Professor at the University of Surrey in the UK.

artificial intelligence, nobel prize
“Artificial intelligence is now one of the fastest-growing areas in all of science and one of the most talked-about topics in society.” VOA

“Our model is also one of the first known to be able to identify the ECG’ s morphological features specifically associated to the severity of the condition,” Massaro said.

Published in Biomedical Signal Processing and Control Journal, the research drastically improves existing CHF detection methods typically focused on heart rate variability that, whilst effective, are time-consuming and prone to errors.

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Conversely, their new model uses a combination of advanced signal processing and machine learning tools on raw ECG signals, delivering 100 per cent accuracy.

“With approximately 26 million people worldwide affected by a form of heart failure, our research presents a major advancement on the current methodology,” said study researcher Leandro Pecchia from the University of Warwick. (IANS)