Researchers from IISc, Bengaluru and IBM Research-India have developed a machine learning-based technique to manage the demand and supply of power in a network of microgrids while maximising profit. Since such local grids can run on renewable sources of energy instead of relying on fossil fuels, they also reduce carbon emissions and are sustainable.
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Researchers use a data-driven approach to identify bat species that could be carriers of the Nipah virus in Kerala.
Researchers from the IIITD, CSIR-IMT and DU designed NeuroPIpred, a web-based tool that uses machine learning techniques to craft insect-specific pesticides.
Forests, with their rich biodiversity, play a critical role not only in the ecology of a region but also in social systems that involve humans. Researchers from the University of Illinois, USA, used artificial intelligence to evaluate the forest management policies in Himachal Pradesh, India.
Researchers at IIT-Kharagpur have published a study on prediction of Esophageal cancer using data locally collected by a Mumbai hospital and machine learning algorithm. Their results could help us do away with expensive and invasive tests while diagnosing cancers.
A new research has elevated self-learning to a whole new level by developing an intelligent “judge” who can predict the expertise of a Bharatnatyam dancer. Prof. Dinesh Babu Jayagopi and his team at the International Institute of Information Technology, Bangalore, have designed Machine Learning based software that predicts a dancer’s expertise by observing his/her poses and expressions during a dance performance. Such a software can also be used to automatically tag videos and analyse its contents in a video database like YouTube, thus simplifying video search.