In the pharmaceutical discovery process, understanding a drug’s residence time—the duration a molecule remains bound to its ...

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

In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...

QVAC launches Genesis II, expanding the world’s largest synthetic AI dataset to 148B tokens and 19 domains for better ...

A collaboration between BHP Group Limited (NYSE: BHP) and Microsoft has used artificial intelligence and machine learning with the aim of improving copper recovery at the world’s largest copper mine.

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic lateral sclerosis, or ALS, earlier from a blood sample, a study suggests.

ABSTRACT: The surge of digital data in tourism, finance and consumer markets demands predictive models capable of handling volatility, nonlinear dynamics, and long-term dependencies, where traditional ...