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

The statistician, whose research covers machine learning and big data analysis, leaves Florida for Zhejiang's Westlake University Award-winning data scientist She Yiyuan has left the United States to ...

An updated edition of the May 23, 2025 article. Big Data specifically refers to massive amounts of information generated daily from various sources, such as online shopping, sensors, social media, ...

Long before the AI hype kicked off, Eric Schwartz was already working with machine learning tools to develop optimized ad ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

The research reveals that although some users frame the gig economy as a space of freedom, income flexibility, and ...

A bot dispatches your next delivery truck or an algorithm designs your new roof — firms ramp up the use of artificial ...

While AI-driven approaches tout increased speed and lower costs, commercial interests compromise scientific collaboration.

Vivian Health reports AI is revolutionizing medical imaging, enhancing speed, accuracy, and patient care through advanced ...

Algorithms are not innocent codes based on machine learning and artificial intelligence, but ideological devices that shape ...

With the increased application of machine learning (ML) algorithms to decision-making processes, the question of fairness of such algorithms came into the focus. Fairness testing aims at checking ...