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Python is a high-level, general-purpose programming language that is popular in artificial intelligence. [1] It has a simple, flexible and easily readable syntax. [2] Its popularity results in a vast ecosystem of libraries, including for deep learning, such as PyTorch, TensorFlow, Keras, Google JAX.
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scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...
General purpose AI; human performance modeling; learning (including explanation-based learning) John E. Laird, Clare Bates Congdon, Mazin Assanie, Nate Derbinsky and Joseph Xu; Division of Computer Science and Engineering, University of Michigan, Ann Arbor, Michigan, USA
The building was also announced during the university's initial endeavors to integrate artificial intelligence (AI) into curriculum. [7] [11] Nvidia is a key partner of UF in the AI space; [7] in 2020, Malachowsky and the company gifted the university $60 million to fund HiPerGator, an AI supercomputer. [12]
Investment in AI technologies is set to surge, with projections showing a growth from $1.7 billion in 2023 to an anticipated $4.7 billion by 2028, indicating a compound annual growth rate of 23.1%.
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Cheetah, a Python-powered template engine and code-generation tool; Construct, a python library for the declarative construction and deconstruction of data structures; Genshi, a template engine for XML-based vocabularies; IPython, a development shell both written in and designed for Python; Jinja, a Python-powered template engine, inspired by ...