Researchers from the labs of Professors Vinayak Dravid and Omar Farha developed a high-resolution approach to map ...

This video explores the impact of machine learning on renewable energy generation, particularly in wind farms, and its role ...

The absence of reliable data on fundamental economic indicators (e.g. real GDP), combined with structural shifts in the economy, can severely constrain the ability to conduct accurate macroeconomic ...

AI-native air interfaces represent a shift from mathematical models to learned representations at the PHY layer.

Artificial intelligence allows tracing the evolution of genetic control elements in the developing mammalian cerebellum. An international research team led by biologists from Heidelberg University as ...

Aerial lidar raises ethical questions because it can collect data remotely without the knowledge or consent of Indigenous and ...

Dengue is becoming a bigger challenge in many parts of the world, including Latin America, as the factors that influence mosquito-borne disease continue to shift. McCord noted that in the Amazon and ...

The Digital Revolution Behind the Wheel We shape our tools, and thereafter our tools shape us.”— Marshall McLuhan NEW ...

Through a detailed mapping of the operating principles of current geothermal systems, scientists are pointing to vast, ...

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

Connecting the dots: By applying machine learning techniques to satellite imagery, researchers have built an unprecedented database of man-made structures across the globe. The data could reshape ...