Found in knee replacements and bone plates, aircraft components, and catalytic converters, the exceptionally strong metals known as multiple principal element alloys (MPEA) are about to get even ...

Abstract: Based on the characteristics of behavioral patterns, this paper constructs a data-driven knowledge discovery framework for smart education management. The aim is to realize automatic ...

What if you could transform the way you analyze data in just 12 minutes? Picture this: a mountain of raw numbers and spreadsheets that once felt overwhelming now becomes a treasure trove of actionable ...

Creative Commons has previewed an upcoming framework designed to help creators manage how artificial intelligence models use their content. The framework, which is called CC Signals, debuted on ...

A metadata-driven ETL framework using Azure Data Factory boosts scalability, flexibility, and security in integrating diverse data sources with minimal rework. In today’s data-driven landscape, ...

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Found in knee replacements and bone plates, aircraft components, and catalytic converters, the exceptionally strong metals known as multiple principal element alloys (MPEA) are about to get even ...

Imagine this: you’ve just received a dataset for an urgent project. At first glance, it’s a mess—duplicate entries, missing values, inconsistent formats, and columns that don’t make sense. You know ...

(From left) Sanket Deshmukh, associate professor in chemical engineering, and Fangxi "Toby" Wang, research scientist in chemical engineering, discussing results of explainable artificial intelligence ...

FutureHouse, an Eric Schmidt-backed nonprofit that aims to build an “AI scientist” within the next decade, has released a new tool that it claims can help support “data-driven discovery” in biology.

Researchers tested a strategy for developing single-atom catalysts that may help us develop more efficient methods for water purification. All humans need clean water to live. However, purifying water ...