Now, the biggest change involves incorporating AI tools to speed analysis and catch anomalies or outliers that humans could miss. “There have been very significant improvements around deep ...

Temporary drops in milk yield can hide a cow’s true potential. Characterizing perturbations not only helps measure the real ...

Abstract: Cell-free massive multiple-input multiple-output (CF-mMIMO) surmounts conventional cellular network limitations in terms of coverage, capacity, and interference management. This paper aims ...

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ('WiMi' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, today announced the launch of a disruptive technology-quantum ...

Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, United States Department of Pharmaceutical Sciences, School of Pharmacy, University of Texas ...

Abstract: With the advancement of health monitoring technologies in the era of smart industry, vast amounts of sensor data are continuously collected from rotating machinery. However, labeling this ...

This is a useful study that applies deep transfer learning to assign patient-level disease attributes to single cells of T2D and non-diabetic patients, including obese patients. This analysis ...

A research team led by the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) has built and successfully demonstrated an automated experimentation platform to optimize the ...