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Explainable artificial intelligence (XAI) is the ability to understand and explain the reasoning behind AI decisions or predictions. XAI aims to improve trust, transparency, and accountability of AI systems, and to overcome the "black box" problem of machine learning.
Learn about the ethical challenges and principles of AI, such as machine ethics, robot ethics, algorithmic biases, and existential risks. Explore the topics, applications, and examples of AI ethics from various perspectives and sources.
Artificial intelligence (AI) is intelligence exhibited by machines, particularly computer systems. It is a field of research that develops and studies methods and software that enable machines to perceive, learn, and act in their environment.
Learn how artificial intelligence (AI) is used in various fields and domains, such as internet and e-commerce, agriculture, finance, government, health, education, and more. Explore the examples, challenges, and opportunities of AI applications with Wikipedia.
Commonsense knowledge can underpin a commonsense reasoning process, to attempt inferences such as "You might bake a cake because you want people to eat the cake." A natural language processing process can be attached to the commonsense knowledge base to allow the knowledge base to attempt to answer questions about the world. [2]
Tabnine is an artificial intelligence (AI) coding assistant developed by Tabnine, which was founded by Dror Weiss and Professor Eran Yahav in Tel Aviv, Israel, in 2013. [1] [2] [3] Initially established under the name Codota, the company underwent a rebranding in May 2021 following the release of the company’s first large language model based AI coding assistant, adopting the name Tabnine.
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