En bref In the rapidly evolving field of artificial intelligence, terminology acts as a shared compass. By 2025, researchers and practitioners rely on a robust vocabulary to communicate about data representations, learning paradigms, model architectures, evaluation metrics, and governance practices. The landscape spans foundational ideas—data, features, labels, and loss functions—through to state-of-the-art constructs like transformers, …
In a fast-moving AI landscape, terminology has become a compass for navigating both research and real-world deployments. This guide explores the core language that powers conversations about capability, risk, and opportunity in artificial intelligence as of 2025. From foundational concepts such as artificial intelligence, machine learning, and neural networks to the latest talking points around …