Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

Artificial intelligence and deep learning have revolutionized the field of neural data analysis in recent years. The explosion of complex, high-dimensional ...

Science Scholar, Tony Okeke, Develops ACME, HealthTech Device, in the United States.

Unlike conventional sustainability audits, which require time-consuming data collection and hardware deployment, this ...

A new method can secretly watermark ChatGPT-like models in seconds without retraining, leaving no trace in general output and ...

Local factors such as seasonal temperature, the year-dependent water and vegetation index, and data on animal density can be used to predict regional outbreaks of avian flu in Europe.

The researchers argue that traditional vaccine development methods, which rely heavily on laboratory experimentation and long ...

Abstract: For drones to expand their activities, a self-localization method for indoor flying drones is required to complement GPS. We have investigated indoor drone positioning based on Wi-Fi RTT ...

The 2021 White House memorandum that established baseline logging standards is in need of an update to keep pace with modern ...

Abstract: We describe a mixed machine learning (ML) inversion algorithm for sedimentary basin modeling of gravity data. We consider two typical targets of basin modeling, i.e., the basement depth and ...

CHARLESTON, W.Va. (WOWK) — A new data reporting system for firefighters will soon be in a fire station near you. West Virginia State Fire Marshal Ken Tyree made the announcement to the Joint Committee ...