Researcher at IIT Madras has developed AI algorithms which can be used to solve engineering problems. The researchers are also planning to establish a startup ‘AISoft’ for their AI software.
Through the startup, researchers are aiming to solve problems from various fields of engineering such as thermal management, semiconductors, automobile, aerospace and electronics cooling applications.
Most of the modern-day uses of AI are in the fields of signal processing, speech recognition, image reconstruction and prediction. Globally, very few attempts have been made to use AI 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 at IIT Madras has developed algorithms based on AI and Deep Learning which do not solve the laws of Physics instead they use a data-driven approach to arrive at the solution of a system.
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."
Further, Dr. Vishal Nandigana said, "We are using a novel Recurrent Neural Network (RNN) and Deep Neural Network (DNN) to solve engineering problems. Our AI is a grid or mesh independent and does not need the information of left and right grid points to solve the grid point of interest. Our AI can work with sparse data sets and solve engineering problems. Our AI stands out in this aspect from commercially available software."
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