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IIT-M creates novel applications for AI, machine & deep learning
Science & Technology

IIT-M creates novel applications for AI, machine & deep learning

Agency News

Chennai, Oct 28 : Researchers at the Indian Institute of Technology, Madras, (IIT-M) have developed algorithms that enable novel applications for Artificial Intelligence, Machine Learning and Deep Learning to solve engineering problems.

The researchers will establish a startup to deploy their AI software called ‘AISoft’ to develop solutions to engineering problems in varied fields such as in thermal management, semiconductors, automobile, aerospace and electronic cooling applications, a release from IIT-M today said. ''AI, Machine Learning and Deep Learning are now being used for over a decade, but traditionally only in areas such as signal processing, speech recognition, image reconstruction and prediction'', it said.Very limited attempts have been made globally in using these algorithms in solving engineering problems such as thermal management, electronic cooling industries, automobile problems like fluid dynamics prediction over a bonnet or inside the engine, aerospace industries like aerodynamics and fluid dynamics problems across an aero-foil or turbine engine. A team of researchers led by Dr Vishal Nandigana, Assistant Professor, Fluid Systems Laboratory, Department of Mechanical Engineering, IIT-M, has developed AI and Deep Learning algorithms to solve engineering problems, which they do not solve a physical law to arrive at the solution of the system.

This idea is new and is only has now being looked by a few research groups across the world.

Most of these research groups use Convolutional Neural Networks (CNN) or C-GAN (conditional generative adversarial network) to solve engineering problems.

Highlighting the unique aspects of these algorithms, Dr Vishal Nandigana said “we tested AIsoft and used it to solve such thermal management problems''.

''We found it to be nearly million-fold faster compared to existing solutions currently used in the field. Our AI works on any generalized rectilinear and curvilinear input geometry. Our research saves the computational time, which is the bottleneck to solve most engineering problems'', he added.(UNI)