Caltech scientists have developed an artificial intelligence (AI)–based method that dramatically speeds up calculations of ...

Application of machine learning techniques to large astronomy data sets can discover thousands of cosmic objects of various classes. CREDIT Shivam Kumaran cientists of Tata Institute of Fundamental ...

The study, titled "Machine Learning Technique for Carbon Sequestration Estimation of Mango Orchards Area Using Sentinel-2 Data," is led by Prof. Sittichai Choosumrong from the Department of Natural ...

Electron density prediction for a four-million-atom aluminum system using machine learning, deemed to be infeasible using traditional DFT method. × Researchers from Michigan Tech and the University of ...

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

Some highly intelligent human mathematicians certainly seem to think so, as Margaret Harris reports from the maths-and-computer-science-focused Heidelberg Laureate Forum ...

Santa Clara, California - September 11, 2025 - Interview Kickstart, the premier technical upskilling platform for technology ...

Siberia, a province located in Russia, is a significant geographical region playing a crucial role in the world's carbon cycle. With its vast forests, wetlands, and permafrost regions (permanently ...