MotherDuck is launching Flights, an agent-native data pipeline that enables users to choose the MCP server and AI agent of their choice to build and deploy data pipelines in minutes using a flexible, ...

Abstract: Sleep disorders have become a prevalent health problem which can negatively impact one’s physical and mental state. Using a machine learning method, the sleep and health lifestyle attributes ...

Abstract: Facial recognition is a biometric recognition technology that verifies identity using information about human facial features so it is used for access control systems. Current access control ...

FSML (Fortran Statistics and Machine Learning) is a scientific toolkit consisting of common statistical and machine learning procedures, including basic statistics (e.g., mean, variance, correlation), ...

1 Department of Computer Science, Rutgers University, New Brunswick, NJ, USA. 2 Department of Computer Science, Rochester Institute of Technology, Rochester, NY, USA. This paper presents a ...

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...

While data-driven collective variables (CVs) have been applied to various complex biological problems, such as ligand binding, their transferability across different substrates has not been thoroughly ...

The objective of this study was to investigate the effectiveness of a machine learning algorithm in diagnosing OSA in children based on clinical features that can be obtained in nonnocturnal and ...

The current technological transformation in accounting and taxation shows that “companies have a large appetite for increasing complex analytics, even when they cannot adequately perform the basics” ...

Rice (Oryza sativa L.), the staple food consumed by about half of the world’s population, is of great importance due to its various nutrients and caloric contribution (Chen et al., 2022), as well as ...