What was once experimental research is now becoming operational backbone across modern energy systems. In the editorial ...
Three faculty members from Johns Hopkins University have been named 2026 Sloan Research Fellows by the Alfred P. Sloan ...
Researchers have developed an advanced artificial intelligence (AI) framework designed to significantly improve the forecasting of carbon dioxide emissions in the aviation sector. ACGRIME is an ...
This study presents valuable findings for identifying biotypes of depression patients using white matter measures, which are under-utilised and under-appreciated in current biological and ...
New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...
A machine learning-driven eNose detects ovarian cancer in blood plasma with 97 % sensitivity and specificity, offering a promising biomarker-agnostic approach.
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...
National security, unlocked. Each Thursday, host Mary Louise Kelly and a team of NPR correspondents discuss the biggest national security news of the week. With decades of reporting from battlefields ...
Computational models are mathematical models used to numerically study the behaviour of complex systems by means of a computer simulation. A computational model can be used to make predictions of the ...
Generative engine optimization (GEO) is the practice of positioning your brand and content so that AI platforms like Google AI Overviews, ChatGPT, and Perplexity cite, recommend, or mention you when ...
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