Machine learning predicts elastic behavior of multi-component alloys using information from simple two-component alloys

Researchers from IIT Bombay, IIT Madras and IIIT Hyderabad have come together to create the speech-to-speech machine translation (SSMT) system from English to many Indian languages.

Researchers at the Indian Institute of Technology (IIT) Roorkee, India, and Kyoto University, Japan, have designed a machine-learning algorithm to identify the grade of glioma with high accuracy.

Artificial intelligence (AI) and machine-learning (ML) approaches are the present-day buzzwords finding applications in a host of domains affecting our lives. These approaches use known datasets to train and build models that can predict, or sometimes, make decisions about a task. In one such case, researchers at the Indian Institute of Technology Bombay (IIT Bombay), Mumbai, have in a recent study, developed ML approaches using molecular descriptors for certain types of catalysis that could find use in several therapeutic applications.

An international study, led by researchers from the USA, which also included researchers from India, have designed a point-of-care testing approach for individuals suffering from TB. The study, published in the journal Science Translational Medicine and supported in part by the Bill and Melinda Gates Foundation, proposes a rapid, cost-effective, and readily accessible triage test kit that can be used at the site of patient care.

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.

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.