Researchers found that urban female sparrows invest more time and energy into parental care than their rural counterparts, yet have significantly lower reproductive success.
A newly observed gravitational wave event from the collision of two massive, rapidly spinning black holes forces scientists to reconsider how these cosmic giants are born and grow.
An AI-powered robotic system, Polybot, has successfully automated the complex process of creating highly conductive and defect-free electronic polymer films, paving the way for faster material discovery and manufacturing.
Researchers explored how extra hot days, called temperature shocks, are directly linked to household water poverty.
IIT Madras researchers have developed a new tool to accurately model the beam-column joints in buildings accurately and predict when they might fail.
A new study analyses some of the most widely used databases and applications or algorithms available for protein mutations and predicting disease-causing mutations among them.
While going through the bacteria found from the Nasa's Mars 2020 Mission clean room, scientists discovered a novel species that could be helpful in fighting off harmful bacteria and viruses
Researchers provide new insights on borides in superalloys contributing to enhanced high-temperature performance.
In a ceremony held at the Vigyan Bhavan in Delhi, the President of India, Shri. Ramnath Kovind announced the NIRF and ARIIA rankings for 2019. The National Institutional Ranking Framework (NIRF) ranking evaluates India’s institutes, both public and private, based on five parameters and in seven categories. The Atal Ranking of Institutions on Innovation Achievements (ARIIA), established to rank all major higher educational institutions and universities in India on its innovation and entrepreneurship development, made its debut this year.
Researchers studied how aged garlic extract can help fight cancer and repair damaged liver.
Researchers from the Indian Institute of Technology, Madras, have proposed methodologies that can improve the design of automated systems to detect muscle fatigue. In a recent study, published in the journal Computer Methods and Programs in Biomedicine, the researchers have used surface electromyography (sEMG), a technique which can record electrical signals over the surface of the skin.