Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

Many data scientists report significantly higher productivity in remote environments. Fewer interruptions mean deeper focus on complex analytical challenges. The impact on business strategy becomes ...

AI's shift to inference at scale from model development is tilting data-center demand toward databases, especially those used ...

What are the key factors driving the growth of the Big data platform market? The big data platform market continues to evolve as enterprises prioritize data-driven strategies to remain competitive.

It emphasizes that data analytics tools are no longer exclusive or expensivea. Affordable, scalable solutions exist through platforms like AWS, Azure and process control vendors, enabling smaller ...

A research team led by Academician Zhu Jiaojun from the Institute of Applied Ecology (IAE) of the Chinese Academy of Sciences ...

Agricultural scientists are accelerating discoveries with artificial intelligence to move toward more sustainable and ...

Earthmover PBC, a New York-based software company defining the modern workflow for climate, weather, and other tensor data and founded by climate scientists and open source pioneers, announces its ...

High performance liquid chromatography (HPLC) is a widely used and well-established technique, routinely employed by thousands of analytical scientists worldwide. Nonetheless, certain ...

MMM isn't a replacement for all attribution, but it is a powerful strategic layer that can restore clarity to marketing ...

Combining analytical skills with the tools to organize and refine raw data, the 16-month master of science in business ...

Abstract: This paper focuses on a multidimensional indicator prediction assessment method based on time series and multiple linear regression modelling. Through in-depth analysis of relevant data, ...