Researchers found that the Gaussian Process Regression (GPR) machine learning model is the most reliable tool for forecasting seasonal Global Horizontal Irradiance (GHI), an important parameter for assessing the available solar resource.

Deep learning models applied to drone images offer a fast, accurate, and scalable alternative to costly manual tree surveys.

"Mathematical discovery is built from many steps, and each step is not so different from problem solving. This does raise legitimate questions of scaling, but claims about discovery involving “true creativity” while problem solving does not don’t deserve to be taken seriously."

New research reveals that while AI excels at basic scientific perception, it struggles with complex reasoning, spatial understanding, and integrating information from different sources, highlighting key areas for future development.

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.

Scientists use computer models to find the best places to gather weather data, aiming to improve predictions for India's vital summer monsoon.

A new study suggests that widespread, regular chest X-rays, powered by AI, could significantly reduce tuberculosis cases and deaths in India.

New research examined how a specific type of AI, known as ANFIS, could help predict the yield of several important crops grown in the Nashik region of Maharashtra, India.

IIT Kharagpur researchers have developed a new framework using blockchain-based technology and token-based incentivisation to securely and fairly share data to train an AI model.

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.