The Kaspersky Neuromorphic Platform ("KNP" or "platform") is a software platform for developing, training and executing spiking neural networks on a variety of computers. You can use Kaspersky Neuromorphic Platform to do the following:

• Create spiking neural networks (SNNs) and train these on various types of input data, such as telemetry, events, images, 3D data, audio, and tactile data.
• Convert artificial neural networks (ANNs) into spiking networks and train these.
• Optimize the structure of the loaded neural networks.
• Conduct applied research in the field of input data classification and other application domains of neural networks.
• Develop new neural network topologies, for example, impulse analogs of convolutional neural networks that involve convolution in space and time.
• Develop new models of synaptic plasticity.
• Implement new neuron models.
• Implement application solutions based on neuromorphic spiking neural networks in the field of robotic manipulators, Internet of Things, unmanned systems, human-machine interaction, wearable devices, and optimization planning.
• Implement application solutions on devices with low power consumption or using neuromorphic processors.

You can use the C++ and Python languages to accomplish these tasks. The platform supports CPUs as well as the AltAI-1 neuromorphic processor unit designed for energy-efficient execution of neural networks in various types of intelligent devices.

About API Reference

The API reference for Kaspersky Neuromorphic Platform is intended for specialists engaged in the C++ development of secure solutions based on the platform and in the development of the Kaspersky Neuromorphic Platform code base.

For information on the platform concepts and architecture, installation instructions and platform use cases, see Kaspersky Neuromorphic Platform Help.

Information about Third-Party Code

Information about third-party code is contained in the NOTICE.txt file located in the platform repository.

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