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. Through choreographed interactions with movement experts, this project expects to generate machine learning strategies to understand how people and robots can reliably and fluently move together. Expected
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planes and enable the in-situ growth of active nanoparticles. These lattice planes inherently exhibit distinct properties, including defects, electronic structures, and a tendency to form nanoparticles
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Training Program (RTP) Fee-Offset a four-year project expense and development package of $13,000 per annum a three-month industry engagement component with Gelomics a structured professional development and
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the Department of Electrical Engineering at IIT Kanpur and innovative unsupervised self-structuring AI and spatio-temporal data modelling techniques from the Research Centre for Data Analytics and Cognition, La
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, the internal workings of deep neural networks remain largely mysterious, posing a significant challenge to the interpretability, reliability, and further advancement of these models. This project seeks deep