Neuton.AI
Andrey Korobitsyn has extensive work experience, with their most recent position being Chief Executive Officer at Neuton starting from January 2021. Prior to that, they served as CEO at Bell Integrator, a position they held since 2005.
Andrey Korobitsyn began their education at the National Research Nuclear University MEPhI from 1991 to 1998. Andrey then pursued further education at the American Institute of Business and Economics, where they obtained a Master of Business Administration (MBA) degree in Business Administration and Management, General. In 2009, they attended the INSEAD Advanced Management Program. In 2013, Andrey briefly studied at the Stanford University Graduate School of Business.
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Neuton.AI
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Neuton.AI – a no-code Tiny ML platform. Neuton.AI was designed to help users automatically build extremely Tiny ML models of optimal size and accuracy, and embed them into any microcontroller, even with 8-bit precision. Neuton's models are extremely compact. Up to 1,000 times: • smaller • have fewer coefficients • demonstrate faster inference in comparison to TensorFlow and other frameworks. Evaluate benchmarks https://neuton.ai/frmwrk#benchmarks Our team of data scientists has created a unique neural network framework Neuton, which is the “brain” of our platform. The framework is based on the neuron-by-neuron model creation principle which allows users to • automatically create models of optimal size and accuracy • avoid any manual search for neural network parameters • exclude the need for model compression, quantization, and pruning after its creation • build incredibly compact models, ready for embedding into microcontrollers Neuton models maintain all original characteristics, without any reduction of accuracy. Neuton does not reduce the model size after its creation. Read about our framework: https://neuton.ai/neural-network Use our service absolutely free of charge Build your first extremely tiny ML model with Neuton to make your edge device intelligent: https://login.neuton.ai/