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Deep tech. Deep technology (deep tech[a]) or hard tech is a classification of organization, or more typically startup company, [1] with the expressed objective of providing technology solutions based on substantial scientific or engineering challenges. [1] They present challenges requiring lengthy research and development, and large capital ...
The word "deep" in "deep learning" refers to the number of layers through which the data is transformed. More precisely, deep learning systems have a substantial credit assignment path (CAP) depth. The CAP is the chain of transformations from input to output. CAPs describe potentially causal connections between input and output.
Deep ecology is an environmental philosophy that promotes the inherent worth of all living beings regardless of their instrumental utility to human needs, and argues that modern human societies should be restructured in accordance with such ideas. Deep ecologists argue that the natural world is a complex of relationships in which the existence ...
t. e. Google DeepMind Technologies Limited is a British-American artificial intelligence research laboratory which serves as a subsidiary of Google. Founded in the UK in 2010, it was acquired by Google in 2014 [6] and merged with Google AI 's Google Brain division to become Google DeepMind in April 2023. The company is based in London, with ...
A transformer is a deep learning architecture developed by researchers at Google and based on the multi-head attention mechanism, proposed in a 2017 paper "Attention Is All You Need". [1] Text is converted to numerical representations called tokens, and each token is converted into a vector via looking up from a word embedding table. [1]
In practice, depth psychology seeks to explore underlying motives as an approach to various mental disorders. Depth psychologists believe that the uncovering of deeper, often unconscious, motives is intrinsically healing in and of itself. It seeks knowledge of the deep layers underlying behavioral and cognitive processes.
v. t. e. A convolutional neural network (CNN) is a regularized type of feed-forward neural network that learns features by itself via filter (or kernel) optimization. This type of deep learning network has been applied to process and make predictions from many different types of data including text, images and audio. [1]
t. e. Deepfakes (a portmanteau of ' deep learning ' and 'fake'[ 1 ]) are images, videos, or audio which are edited or generated using artificial intelligence tools, and which may depict real or non-existent people. They are a type of synthetic media.