Researchers have found that the variability in venom composition of the Russel’s Viper may be tied, in part, to local climate conditions.

A long-term study reveals encouraging trends for marine turtles in Odisha, Andaman and Nicobar, and the Lakshadweep Islands, while climate change and ecological shifts pose new conservation challenges across India's coasts.

Researchers at IISc set out to test the hypothesis that well-fed animals are risk-averse by studying how rock agamas (Psammophilus dorsalis) make foraging decisions.

Research uncovers how worldwide weather trends contribute to the rise of simultaneous heatwaves and droughts in India, stressing the urgency for better weather forecasting and climate preparedness.

Researchers have shown how subtle nanoscale changes to the spacing between cancer cells can enhance ultrasound treatments' effectiveness in killing those cells.

IISc researchers observed the black hole X-ray binary IGR J17091–3624 and studied the variations in its flickers to study whether they were truly random or just chaotic.

Researchers from IIT Kanpur and IISc have created a framework for pricing and trading data.

Researchers from IISc have studied the behavioural and physiological changes in the brains of persons showing early signs of dementia to understand and aid early diagnosis.

A new study examines complex jointed rocks making up the slopes on the banks of the Chenab River to improve the stability and safety of the Chenab bridge that rests on it.

Imagine if we could predict the properties of materials without having to test them in a lab. This would save a lot of time and money, and it could help scientists discover new materials with amazing properties, like super-strong metals or super-efficient semiconductors. This is exactly what researchers at the Indian Institute of Science (IISc) and University College London are working on. They are using machine learning tools to predict material properties, even when there is limited data available.