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v. 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. Its implementation is "opaque" (black). The term can be used to refer to many inner workings, such as those of a transistor, an engine, an ...
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 ...
Black Box Corporation. Black Box is an IT company headquartered in Texas, United States. [1] The company provides technology assistance and consulting services to businesses in a variety of sectors including retail, transportation, government, education, and public safety. Black Box operates in 75 locations across 35 countries.
They often must show that AI source code was likely to be “necessary” for a criminal case, a higher standard than for most subpoenas in search of evidence. “The reason that is so troubling ...
Aladdin ( Asset, Liability and Debt and Derivative Investment Network) [1] is an electronic system built by BlackRock Solutions, the risk management division of the largest investment management corporation, BlackRock, Inc. In 2013, it handled about $11 trillion in assets (including BlackRock's $4.1 trillion assets), which was about 7% of the ...
On June 26, 2019, the European Commission High-Level Expert Group on Artificial Intelligence (AI HLEG) published its "Policy and investment recommendations for trustworthy Artificial Intelligence". This is the AI HLEG's second deliverable, after the April 2019 publication of the "Ethics Guidelines for Trustworthy AI".
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.
Bayesian optimization. Bayesian optimization is a sequential design strategy for global optimization of black-box functions [1] [2] [3] that does not assume any functional forms. It is usually employed to optimize expensive-to-evaluate functions.
In mathematics, statistics, and computational modelling, a grey box model combines a partial theoretical structure with data to complete the model. The theoretical structure may vary from information on the smoothness of results, to models that need only parameter values from data or existing literature.
Derivative-free optimization. Derivative-free optimization (sometimes referred to as blackbox optimization) is a discipline in mathematical optimization that does not use derivative information in the classical sense to find optimal solutions: Sometimes information about the derivative of the objective function f is unavailable, unreliable or ...