The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Researchers in China say two unmanned drones completed autonomous aerial refueling using AI-based vision systems.

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

According to the MarkTechPost report, CatBoost’s high accuracy and processing speed, along with its broad versatility, allowed it to be included among six non-US technologies that have succeeded in be ...

Abstract: With uncrewed aerial vehicles (UAVs) having emerged in diverse application domains, visual detection of UAVs has become a critical research focus in recent years. However, most existing ...

India ranks third globally in machine learning-driven scientific research, as per the ML Global Impact Report 2025. With its expanding network of universities, national laboratories, and startups, ...

A new study shows that precisely manipulating brain activity during sleep can help mice retain memories that would normally fade, offering a potential pathway for treating memory loss conditions.

A much faster, more efficient training method developed at the University of Waterloo could help put powerful artificial intelligence (AI) tools in the hands of many more people by reducing the cost ...

China’s top leaders made strengthening domestic demand their top economic priority for 2026, while hinting at a measured approach to stimulus. “We must adhere to domestic demand as the main driver and ...

Science Inc., a Japanese company, has now officially launched what it calls the “Mirai Human Washing Machine.” First unveiled at the World Expo in Osaka earlier this year, Japanese consumers can now ...

Abstract: This work proposes a complicated voting ensemble model for exact feature selection using AdaBoost, Catboost, XGBoost, and LARF (LASSO and Recursive Feature Elimination). This approach seeks ...