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2. Black box - Wikipedia

   en.wikipedia.org/wiki/Black_box

   t. e. In science, computing, and engineering, a black box is a system which can be viewed in terms of its inputs and outputs (or transfer characteristics), without any knowledge of its internal workings. [1][2] Its implementation is "opaque" (black). The term can be used to refer to many inner workings, such as those of a transistor, an engine ...

3. Black-box testing - Wikipedia

   en.wikipedia.org/wiki/Black-box_testing

   v. t. e. Black-box testing, sometimes referred to as specification-based testing, [1] is a method of software testing that examines the functionality of an application without peering into its internal structures or workings. This method of test can be applied virtually to every level of software testing: unit, integration, system and acceptance.

4. Explainable artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Explainable_artificial...

   Explainable AI (XAI), often overlapping with interpretable AI, or explainable machine learning (XML), either refers to an artificial intelligence (AI) system over which it is possible for humans to retain intellectual oversight, or refers to the methods to achieve this. [1][2] The main focus is usually on the reasoning behind the decisions or ...

5. Open-source artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Open-source_artificial...

   Open-source artificial intelligence. Open-source artificial intelligence is the application of open-source practices to the development of artificial intelligence resources. Many open-source artificial intelligence products are variations of other existing tools and technologies which have been shared as open-source software by large companies ...

6. Meta AI - Wikipedia

   en.wikipedia.org/wiki/Meta_AI

   Meta AI is an American company owned by Meta (formerly Facebook) that develops artificial intelligence and augmented and artificial reality technologies. Meta AI deems itself an academic research laboratory, focused on generating knowledge for the AI community, and should not be confused with Meta's Applied Machine Learning (AML) team, which focuses on the practical applications of its products.

7. Fuzzing - Wikipedia

   en.wikipedia.org/wiki/Fuzzing

   Fuzzing. In programming and software development, fuzzing or fuzz testing is an automated software testing technique that involves providing invalid, unexpected, or random data as inputs to a computer program. The program is then monitored for exceptions such as crashes, failing built-in code assertions, or potential memory leaks.