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2. List of artificial intelligence projects - Wikipedia

   en.wikipedia.org/wiki/List_of_artificial...

   Neuroph, a Java neural network framework. [88] OpenCog, a GPL-licensed framework for artificial intelligence written in C++, Python and Scheme. [15] PolyAnalyst: A commercial tool for data mining, text mining, and knowledge management. [89] RapidMiner, an environment for machine learning and data mining, now developed commercially. [90]

3. Open-source artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Open-source_artificial...

   With AI systems increasingly employed into critical frameworks of society such as law enforcement and healthcare, there is a growing focus on preventing biased and unethical outcomes through guidelines, development frameworks, and regulations. Open-source AI has the potential to both exacerbate and mitigate bias, fairness, and equity, depending ...

4. Comparison of deep learning software - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_deep...

   The following tables compare notable software frameworks, libraries, and computer programs for deep learning applications. ... Vertex.AI, Intel: 2017 Apache 2.0: Yes

5. Applications of artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Applications_of_artificial...

   Artificial intelligence is used in astronomy to analyze increasing amounts of available data [159] [160] and applications, mainly for "classification, regression, clustering, forecasting, generation, discovery, and the development of new scientific insights" for example for discovering exoplanets, forecasting solar activity, and distinguishing ...

6. Artificial general intelligence - Wikipedia

   en.wikipedia.org/wiki/Artificial_general...

   A framework for classifying AGI in levels ... For example, a competent AGI is defined as an AI that outperforms 50% of skilled adults in a wide range of non-physical ...

7. TensorFlow - Wikipedia

   en.wikipedia.org/wiki/TensorFlow

   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.