Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
Page 1: Simulating The Steam Machine: 27 Games Tested On AMD Hardware, Similar To Valve's Page 2: Simulating The Steam Machine: Big Budget, Demanding Games Tested If this last set of games seems like ...
Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
Soil salinity significantly constrains agricultural productivity and land sustainability, particularly in irrigated areas. While, remote sensing offers large-scale monitoring capacity, but its ...
AI-enabled value-based care company Navina has released preliminary research showing that adding patient history to ambient scribe technology significantly increases documentation quality. Navina’s ...
The coaching search and the Iron Bowl may be the main things on the minds of many Auburn fans this week, but the Tigers still have one more tune up game before preparations for Alabama begin. This ...
1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...
To no one’s surprise, AI took center stage at the Gartner IT Symposium/Xpo going on this week in Orlando, Fla., where the research firm made its annual presentation of the core technology trends set ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
Abstract: Using machine learning applied to multimodal physiological data allows the classification of cognitive workload (low, moderate, or high load) during task performance. However, current ...
Introduction: Accurate prediction of soil moisture content (SMC) is crucial for agricultural systems as it affects hydrological cycles, crop growth, and resource management. Considering the challenges ...