Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Craif Inc. in Nagoya, Japan, working with Nagoya University's Institute of Innovation for Future Society, has developed a urine-based biological aging clock. In validation of the method, predicted ...

A research team led by Professor Kanghyun Nam from the Department of Robotics and Mechanical Engineering at DGIST has ...

The Asian Development Bank and its partners show that poor data on road quality and rural access weakens development outcomes, even though good roads are critical for growth, inclusion, and poverty ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...

A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...

Quantum Key Encryption from SanQtum will further differentiate patented and forthcoming Datavault AI IDE deployments with ...

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 ...

Jane Marsh, Editor-In-Chief at Environment.co, explores how advanced data analytics and digital technologies can revitalise ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...