Researchers from BITS-Pilani, Hyderabad, have developed a safer, fluoride-free synthesis method for metal-organic frameworks that significantly boosts their capacity to capture greenhouse gases and store clean fuels at room temperature.
IIT Bombay’s new deep learning framework, named SpADANet, enhances damage classification accuracy using limited labels across multiple hurricanes.
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.
A novel AI tool, DrugProtAI, promises to transform drug development by accurately identifying proteins that can be targeted by medicines, addressing a major hurdle in clinical research.
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.
A new study suggests that widespread, regular chest X-rays, powered by AI, could significantly reduce tuberculosis cases and deaths in 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.
On 17th January 2025, Satya Nadella, Microsoft's Chairman and CEO, took to X to announce a research paper published in Nature that caught our attention.
Researchers have sped up the study of light-matter interaction on specially-engineered surfaces.
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.