Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

A marriage of formal methods and LLMs seeks to harness the strengths of both.

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

AI is moving from “interesting tool” to “invisible teammate.” It is now time to focus on more advanced skills that let you ...

Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...

After attracting $3.7 billion in new capital and minting young billionaires at Polymarket and Kalshi, prediction market startups are all the rage, especially for recent college graduates.

Discusses Preliminary Financial Results, Churn Impact, and Strategic Progress in Key Verticals February 3, 2026 8:00 AM ...

InfoQ covers a wide range of subjects important to software developers. This includes how to design smart computer systems, the latest in artificial intelligence (AI), new programming languages, and ...

The first dimension is the most fundamental: statistical fidelity. It is not enough for synthetic data to look random. It must behave like real data. This means your distributions, cardinalities, and ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...