New chemical method makes it easier to select desirable traits in crops

Crops increasingly need to thrive in a broader range of conditions, including drought, salinity, and heat. Traditional plant ...
IEEE

The Acoustic Signal Denoising Method for Rotating Machinery Based on Virtual Sample Integrating the Deep Neural Network

Abstract: The clean signal is used as the reference signal in acoustic signal denoising methods based on the supervised deep learning, but the clean signal of the operating state of the rotating ...

Unearthing experimental materials data buried in scientific papers using LLMs

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

Opinion: Science keeps changing. So why should we trust it?

As popular mistrust of expert opinion grows, we increasingly encounter the following skeptical argument about science: ...
IEEE

An Improved Domain Adaptive Method for Early Weak Fault Diagnosis of Bearings Based on Sample Compactness and Anomalous Feature Filtering

Abstract: The health monitoring of mechanical equipment is evolving toward intelligence, and early weak fault diagnosis of bearings based on transfer learning can achieve fault warning under different ...

Science Keeps Changing. So Why Should We Trust It?

As popular mistrust of expert opinion grows, we increasingly encounter the following skeptical argument about science: ...
National Academies of Sciences%2c Engineering%2c and Medicine

DOE Should Develop AI-Based Foundation Models Fused with Traditional Computational Methods to Bring Paradigm Shift to Scientific Discovery

WASHINGTON — A new report from the National Academies of Sciences, Engineering, and Medicine examines how the U.S. Department of Energy could use foundation models for scientific research, and finds ...