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

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, ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with projects that support AI development.

This video is a tutorial on how to enter diagnostic mode on a Whirlpool or Maytag washer with this style console, as its different than other styles on the market, with a VASTLY different ...

Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...

AI's coding capabilities prompt students to reevaluate the value of traditional computer science education and future career paths.

AI isn't a single capability, and "using AI" isn't a strategy. The strategy is to know what we're building, why it matters ...

Oh, sure, I can “code.” That is, I can flail my way through a block of (relatively simple) pseudocode and follow the flow. I ...

High schoolers are learning about AI through peer-to-peer work and after-school programming like Code Girls United, and ...

You've probably heard about Arduino and Raspberry Pi. Both show up in maker forums, both get recommended for electronics projects, and both have passionate communities. So which one do you actually ...

Whether it's middle schoolers at Code Girls United or students at Flathead Valley Community College, young people of all ages ...

Image courtesy by QUE.com Humanoid robots have quietly crossed a threshold: they are no longer just research prototypes or sci-fi ...