Big Data Analytics, Anti-Money Laundering, Financial Fraud Detection, Machine Learning, Regulatory Technology Share and Cite: Jiang, H. (2024) Application Technologies and Challenges of Big Data ...

There are two major machine learning approaches: supervised and unsupervised. Supervised learning uses labelled data for tasks like classification, while unsupe ...

Before we can really begin to understand AI, it’s important to define several of the common terms associated with it. There ...

Hollings researchers will develop AI-driven tools to better match cancer patients to marketed therapies and clinical trials.

AI models use deep learning techniques to analyze patterns in data and generate human-like text based on a user prompt or a ...

Researchers employ machine learning to more accurately model the boundary layer wind field of tropical cyclones. Conventional ...

While a major advantage of imaging is being able to study living cells, using high-throughput chromosome conformation capture ...

Companies in the fast-growing world of digital marketing have applied the use of ML to reach the right audience with the ...

Discover essential machine learning insights for success, from mastering fundamentals to aligning with business goals.

The study, “Three autism subtypes based on single-subject gray matter network revealed by semi-supervised machine learning,” was authored by Guomei Xu, Guohong Geng, Ankang Wang, Zhangyong Li, Zhichao ...

Lava Music has spent the last few years impressing music journalists and guitarists with a bunch of carbon fiber acoustic/smart guitars. Now the company has taken a bit of a left turn for its ...