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  2. Nature Machine Intelligence - Wikipedia

    en.wikipedia.org/wiki/Nature_Machine_Intelligence

    The journal was created in response to the machine learning explosion of the 2010s. It launched in January 2019, and its opening was met with controversy and boycotts within the machine learning research community due to opposition to Nature publishing the journal as closed access. [2]

  3. Machine learning - Wikipedia

    en.wikipedia.org/wiki/Machine_learning

    A machine learning model is a type of mathematical model ... Proprietary software with free and open-source editions ... Machine Learning; Nature Machine Intelligence;

  4. Bio-inspired computing - Wikipedia

    en.wikipedia.org/wiki/Bio-inspired_computing

    Bio-inspired computing, short for biologically inspired computing, is a field of study which seeks to solve computer science problems using models of biology.It relates to connectionism, social behavior, and emergence.

  5. Weka (software) - Wikipedia

    en.wikipedia.org/wiki/Weka_(software)

    Waikato Environment for Knowledge Analysis (Weka) is a collection of machine learning and data analysis free software licensed under the GNU General Public License. It was developed at the University of Waikato, New Zealand and is the companion software to the book "Data Mining: Practical Machine Learning Tools and Techniques". [1]

  6. Quantum machine learning - Wikipedia

    en.wikipedia.org/wiki/Quantum_machine_learning

    Quantum machine learning is the integration of ... These routines can be more complex in nature and ... Because quantum associative memories are free from cross-talk ...

  7. Natural computing - Wikipedia

    en.wikipedia.org/wiki/Natural_computing

    Natural computing, [1] [2] also called natural computation, is a terminology introduced to encompass three classes of methods: 1) those that take inspiration from nature for the development of novel problem-solving techniques; 2) those that are based on the use of computers to synthesize natural phenomena; and 3) those that employ natural materials (e.g., molecules) to compute.

  8. Timeline of machine learning - Wikipedia

    en.wikipedia.org/wiki/Timeline_of_machine_learning

    Pioneering machine learning research is conducted using simple algorithms. 1960s: Bayesian methods are introduced for probabilistic inference in machine learning. [1] 1970s 'AI winter' caused by pessimism about machine learning effectiveness. 1980s: Rediscovery of backpropagation causes a resurgence in machine learning research. 1990s

  9. Collective Knowledge (software) - Wikipedia

    en.wikipedia.org/wiki/Collective_Knowledge...

    The Raspberry Pi Foundation and the cTuning foundation released a CK workflow with a reproducible "live" paper to enable collaborative research into multi-objective autotuning and machine learning techniques [4] IBM uses CK to reproduce quantum results from nature [14] CK is used to automate MLPerf benchmark [15] [16]