With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...
When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...
Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
CERES program updates include operational satellite instruments, algorithm advancements, machine learning applications, and ongoing missions measuring Earth’s energy budget and climate system changes.
A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...
CableEye wire harness testing systems easily link to custom test fixtures and harnesses and instantaneously check for faults, ...
A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...
Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...
Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...