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.
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.
IIT Bombay researchers build a new model, named AMVG, that bridges the gap between how humans prompt and how machines analyse satellite or remote sensing imagery.
A new study reveals diverse rainfall trends across major Indian cities, demonstrating the combination of statistical analysis and machine learning for enhanced prediction
Automated analysis of microscopic images offers a powerful new tool for predicting and managing under-deposit corrosion in critical industrial systems.
The new filter is made of Polylactic Acid and Bismuth Ferrite uses piezo-photocatalysis, which combines the principles of piezocatalysis and photocatalysis to enhance the degradation of pollutants and other chemical transformations.
Researchers have developed a 'smart' way to sort and organise waste more accurately and efficiently using Random Forest and Cat Swarm Optimization algorithms.
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.
Researchers have used machine learning and optimization tools to create new super-alloys without any rare and expensive materials.
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.
Researchers have developed a deep learning-based Intrusion Detection System, that can detect intrusions into any network by looking at data patterns