A team of researchers has built one of the most detailed open maps of emerging technologies yet assembled, allowing ...

AI can generate keywords at scale, but semantic techniques provide the structure and signal quality needed to keep PPC and ...

While JD.com's unusual options activity would seem to warrant caution, a deeper look at the math reveals a bullish trade for JD stock.

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Stars usually form in clusters, which can also form in pairs or groups. Binary clusters (BCs) are defined as pairs of open ...

The European Space Agency's Euclid mission—designed to map the geometry of the dark universe with unprecedented precision—continues to deliver its first scientific insights. The Euclid Consortium has ...

Stock returns exhibit nonlinear dynamics and volatility clustering. It is well known that we cannot forecast the movements of stock prices under the condition that market is efficient. In most ...

Kaggle Dataset A HR department from a big company has hired us to help them understand their employee profiles from a dataset of the employee board with data from all throughout 2023 and determine if ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...