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  2. OpenVINO - Wikipedia

    en.wikipedia.org/wiki/OpenVINO

    OpenVINO IR [5] is the default format used to run inference. It is saved as a set of two files, *.bin and *.xml, containing weights and topology, respectively.It is obtained by converting a model from one of the supported frameworks, using the application's API or a dedicated converter.

  3. Power optimizer - Wikipedia

    en.wikipedia.org/wiki/Power_optimizer

    A power optimizer is a DC to DC converter technology developed to maximize the energy harvest from solar photovoltaic or wind turbine systems. They do this by individually tuning the performance of the panel or wind turbine through maximum power point tracking, and optionally tuning the output to match the performance of the string inverter (DC to AC inverter).

  4. List of optimization software - Wikipedia

    en.wikipedia.org/wiki/List_of_optimization_software

    Given a transformation between input and output values, described by a mathematical function, optimization deals with generating and selecting the best solution from some set of available alternatives, by systematically choosing input values from within an allowed set, computing the output of the function and recording the best output values found during the process.

  5. SolarEdge's Massive Problem in Solar Energy

    www.aol.com/solaredges-massive-problem-solar...

    SolarEdge (NASDAQ: SEDG) was once one of the hottest stocks in the solar industry. But the company has run into problems as the market collapses and power optimizers lose market share to ...

  6. Open Neural Network Exchange - Wikipedia

    en.wikipedia.org/wiki/Open_Neural_Network_Exchange

    The Open Neural Network Exchange (ONNX) [ˈɒnɪks] [2] is an open-source artificial intelligence ecosystem [3] of technology companies and research organizations that establish open standards for representing machine learning algorithms and software tools to promote innovation and collaboration in the AI sector.

  7. Stochastic gradient descent - Wikipedia

    en.wikipedia.org/wiki/Stochastic_gradient_descent

    Later in the 1950s, Frank Rosenblatt used SGD to optimize his perceptron model, demonstrating the first applicability of stochastic gradient descent to neural networks. [12] Backpropagation was first described in 1986, with stochastic gradient descent being used to efficiently optimize parameters across neural networks with multiple hidden ...

  8. Convolutional neural network - Wikipedia

    en.wikipedia.org/wiki/Convolutional_neural_network

    A convolutional neural network (CNN) is a regularized type of feedforward neural network that learns features by itself via filter (or kernel) optimization. This type of deep learning network has been applied to process and make predictions from many different types of data including text, images and audio. [1]

  9. SolarEdge - Wikipedia

    en.wikipedia.org/wiki/SolarEdge

    SolarEdge Technologies, Inc. is an Israeli company that developed a DC optimized inverter system. In 2023, SolarEdge is critically noted for losing over 70% of its market value, also being the worst performing stock according to many critics, becoming the most losing stock in the S&P 500 for the year, which resulted in its delisting from the index.