As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...

Manufacturing technologies have been the first domain to experience this transformation. The review documents how artificial ...

Choosing a career path in tech can feel overwhelming when both options sound exciting but unclear. You might be drawn to the ...