Learn the NumPy trick for generating synthetic data that actually behaves like real data.

Professional mathematicians have been stunned by the progress amateurs have made in solving long-standing problems with the ...

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...

To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.

Overview Data science roles are expanding as AI tools handle more routine work.Foundation models are replacing task-by-task ...

GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous ...

The desktop application provides the best experience with zero environment setup required. Simply download and run.

Opinions expressed by Digital Journal contributors are their own. Content delivery networks (CDNs) are the quiet infrastructure behind almost everything we do online. Most people never see them, but ...

Abstract: Image discrimination based on deep learning requires a large amount of high-quality image data to learn the discrimination model. In the case of an abnormality detection problem from the ...

Dr. Shech is a professor of philosophy who specializes in the philosophy of science. As popular mistrust of expert opinion grows, we increasingly encounter the following skeptical argument about ...

A deterministic, schema-first telecom data generator that produces a multi-table LTE dataset (users, cells, sessions, events) with causal ordering and reproducible outputs.