The term "Weak AI" refers to artificial intelligence systems that are designed and built to perform specific tasks or solve particular problems. Unlike "Strong AI," which aims to replicate human-like general intelligence across a wide range of tasks, weak AI is specialized and limited in scope. The meaning of weak AI is associated with systems that, while capable of performing tasks that might seem intelligent, do not possess consciousness, self-awareness, or understanding. Instead, they operate within predefined parameters to execute their functions effectively.
The meaning of weak supervision refers to a machine learning approach where models are trained using imperfect, noisy, or incomplete labels rather than fully accurate and precise labels. This method is particularly useful when obtaining high-quality labeled data is costly, time-consuming, or impractical. The term "weak supervision" encompasses various techniques that leverage these imperfect data sources to create models that still perform effectively despite the lower quality of the labels.
The term "World Wide Web Consortium (W3C)" refers to an international community that develops open standards to ensure the long-term growth and accessibility of the World Wide Web. Founded by Tim Berners-Lee, the inventor of the web, the W3C plays a crucial role in defining the protocols and guidelines that ensure the web's interoperability, usability, and universality. The meaning of W3C is tied to its mission to lead the web to its full potential by creating standards that promote the seamless exchange of information across different systems and platforms.