Leaf hyperspectral reflectance (HSR) data have gained increasing attention due to their usage in predicting a range of leaf physiological, biochemical, structural, and photosynthetic traits using ...

Raman spectroscopy provides molecular-level insights by measuring inelastic scattering of light, yet its inherently weak signal and complex background present challenges for routine analysis. Machine ...

Machine learning components are enabling advances in self-driving cars, the power grid, and robotic medicine, but what are the implications for safety? Decades of research and practice in safety ...

Artificial Intelligence (AI) and Machine Learning (ML) are increasingly integral to database management, driving new levels of automation and intelligence in how data systems are administered. Modern ...

Two-dimensional (2D) materials have shown extraordinary potential in electrocatalytic reactions due to their unique structural and electronic properties. In a new review published in AI Mater., first ...

Most working professionals already understand that AI skills are no longer optional they are a career necessity.

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

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 ...

California-based startup PiLogic Inc., which specializes in high precision, expert-guided artificial intelligence for the defense and space industries, announced Thursday it has raised $4 million in ...

Eight-month live online programme by CEC, IIT Roorkee equips professionals to build applied expertise across Python, machine ...