How will you know your AI agent is ready to launch? Here’s the release-readiness checklist every devops team needs.

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, ...

Synthetic technologies are reshaping the legal landscape, presenting expert witness reporting with a pivotal challenge: ...

Focus on One Area: Robotics is broad. You could focus on programming first, then move to electronics, or vice versa. Trying ...

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

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

Businesses, especially, are all in on AI. Stanford University’s 2025 AI Index noted that U.S. private AI investment stood at a robust $109.1 billion in 2024, underscored by accelerating AI business ...

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

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.

Choose your path! This repository prepares you for multiple ML/AI careers. Select your target role to see a customized learning path: Role Focus Est. Time Key Modules ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited AI expertise in industrial fields such as factories, medical, and ...