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In the context of AI, it is particularly used for embedded systems and robotics. Libraries such as TensorFlow C++, Caffe or Shogun can be used. [1] JavaScript is widely used for web applications and can notably be executed with web browsers. Libraries for AI include TensorFlow.js, Synaptic and Brain.js. [6]
PyTorch is a machine learning library based on the Torch library, [4] [5] [6] used for applications such as computer vision and natural language processing, [7] originally developed by Meta AI and now part of the Linux Foundation umbrella.
AI in education; AI-assisted reverse engineering; AI-assisted targeting in the Gaza Strip; AI: When a Robot Writes a Play; Aidoc; Aisera; AIVA; Alice (Microsoft) Anyword; Apple Intelligence; Artificial imagination; Outline of artificial intelligence; Artificial Intelligence Applications Institute; Artificial intelligence in architecture ...
Chinook, a computer program that plays English draughts; the first to win the world champion title in the competition against humans. [22] Deep Blue, a chess-playing computer developed by IBM which beat Garry Kasparov in 1997. [23] Halite, an artificial intelligence programming competition created by Two Sigma in 2016. [24]
The use of AI in applications such as online trading and decision-making has changed major economic theories. [65] For example, AI-based buying and selling platforms estimate personalized demand and supply curves, thus enabling individualized pricing. AI systems reduce information asymmetry in the market and thus make markets more efficient. [66]
TensorFlow is a software library for machine learning and artificial intelligence. It can be used across a range of tasks, but is used mainly for training and inference of neural networks . [ 3 ] [ 4 ] It is one of the most popular deep learning frameworks, alongside others such as PyTorch and PaddlePaddle.
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]
Orange is an open-source software package released under GPL and hosted on GitHub.Versions up to 3.0 include core components in C++ with wrappers in Python.From version 3.0 onwards, Orange uses common Python open-source libraries for scientific computing, such as numpy, scipy and scikit-learn, while its graphical user interface operates within the cross-platform Qt framework.