IoT-based sensors, when deployed within biofloc tanks, can continuously track critical parameters such as dissolved oxygen ...

To add FT coverage as predictors, we ran more than 40 years of FT articles through a well-known topic model, named Latent Dirichlet Allocation. This gives us a clear picture of what our journalists ...

Explore how AI predictive analytics reshapes industries by providing insights, forecasting trends, and enhancing ...

Researchers from the University of Maryland's Department of Nutrition and Food Science are shedding new light on how a ...

Researchers from the University of Maryland's Department of Nutrition and Food Science are shedding new light on how a ...

Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

A new paper published in Nature Communications reveals how the way tree species are arranged in a forest can help optimize ...

A new study published in Nature Communications reveals that how tree species are arranged in a forest can significantly ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

In a study published in the journal Information Systems Research, Texas Tech University's Shuo Yu and his collaborators ...

That study found that when asked to choose random numbers between one and five, the LLMS would choose three or four. For between one and 10, most would choose five and seven, and between one and 100, ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...