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  2. Navy Marine Corps Intranet - Wikipedia

    en.wikipedia.org/wiki/Navy_Marine_Corps_Intranet

    Navy Marine Corps Intranet. The Navy/Marine Corps Intranet ( NMCI) is a United States Department of the Navy program which was designed to provide the vast majority of information technology services for the entire Department, including the United States Navy and Marine Corps .

  3. Machine learning in earth sciences - Wikipedia

    en.wikipedia.org/wiki/Machine_learning_in_earth...

    Applications of machine learning in earth sciences include geological mapping, gas leakage detection and geological features identification.Machine learning (ML) is a type of artificial intelligence (AI) that enables computer systems to classify, cluster, identify and analyze vast and complex sets of data while eliminating the need for explicit instructions and programming.

  4. Neural network (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Neural_network_(machine...

    Analyzing what has been learned by an ANN is much easier than analyzing what has been learned by a biological neural network. Furthermore, researchers involved in exploring learning algorithms for neural networks are gradually uncovering general principles that allow a learning machine to be successful.

  5. François Chollet - Wikipedia

    en.wikipedia.org/wiki/François_Chollet

    Chollet is the creator of the Keras deep-learning library, released in 2015. His research focuses on computer vision , the application of machine learning to formal reasoning , abstraction , [2] and how to achieve greater generality in artificial intelligence .

  6. Timeline of machine learning - Wikipedia

    en.wikipedia.org/wiki/Timeline_of_machine_learning

    Support-Vector Clustering and other kernel methods and unsupervised machine learning methods become widespread. 2010s: Deep learning becomes feasible, which leads to machine learning becoming integral to many widely used software services and applications. Deep learning spurs huge advances in vision and text processing. 2020s

  7. Brain–computer interface - Wikipedia

    en.wikipedia.org/wiki/Brain–computer_interface

    Studies in human-computer interaction via the application of machine learning to statistical temporal features extracted from the frontal lobe (EEG brainwave) data has achieved success in classifying mental states (relaxed, neutral, concentrating), mental emotional states (negative, neutral, positive), and thalamocortical dysrhythmia.

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