8f43927575
examples/ is based on KasperskyLab/knp at 55470ed6 with local changes to the mnist-learn altai/blifat models, cuda-backend CMake and model_loader. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
97 lines
5.8 KiB
Markdown
97 lines
5.8 KiB
Markdown
# Kaspersky Neuromorphic Platform
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Platform for the spiking neural network execution.
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<div align="center">
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<img src="packaging/neuromorphic-platform.svg" alt="Logo">
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</div>
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The Kaspersky Neuromorphic Platform ("KNP" or "platform") is a software platform for developing, training and executing spiking neural networks on a variety of computers.
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You can use Kaspersky Neuromorphic Platform to do the following:
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- 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.
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- Convert artificial neural networks (ANNs) into spiking networks and train these.
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- Conduct applied research in the field of input data classification and other application domains of neural networks.
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- Develop new neural network topologies, for example, impulse analogs of convolutional neural networks that involve convolution in space and time.
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- Develop new models of synaptic plasticity.
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- Implement new neuron models.
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- 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.
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- Implement application solutions on devices with low power consumption using neuromorphic processors.
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You can use the C++ and Python languages to accomplish these tasks. Along with CPU and GPU backends, the platform supports neuromorphic backend which is developed by Motiv-NT.
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For information on the platform concepts and architecture, installation instructions and platform use cases, see <a href="https://click.kaspersky.com/?hl=en-US&version=2.0&pid=KNP&link=online_help&helpid=index">Kaspersky Neuromorphic Platform Help</a>.
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Only versions of repository with release tags have release quality. If you use the source code from master branch or a build compiled from master branch, you may get code and build with errors and vulnerabilities.
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## Hardware and software requirements
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For Kaspersky Neuromorphic Platform operation, the computer must meet the following minimum requirements.
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Minimum hardware requirements:
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- CPU: Intel Core i5 or higher compatible processor
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- GPU with CUDA support: NVIDIA GPU using Pascal or higher
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- NPU using neuromorphic backend developed by Motiv-NT (if needed)
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- 8 GB of RAM
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- Available hard drive space:
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- 1 GB for installing Kaspersky Neuromorphic Platform.
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- 10 GB for building the platform or an application solution build.
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Supported operating systems:
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- Debian GNU/Linux 12.5 or later
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- Ubuntu 22.04 LTS or later
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- Windows 7
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- Windows 10
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You can use the device running any other operating system from the Linux family, if the operating system distribution kit contains the Boost library version 1.81 or later.
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For information on the required software, see <a href="https://click.kaspersky.com/?hl=en-US&version=2.0&pid=KNP&link=online_help&helpid=232788">Kaspersky Neuromorphic Platform Help</a>.
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## Installation
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You can install Kaspersky Neuromorphic Platform in one of the following ways:
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- <a href="https://click.kaspersky.com/?hl=en-US&version=2.0&pid=KNP&link=online_help&helpid=273773">Install deb packages</a>
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- <a href="https://click.kaspersky.com/?hl=en-US&version=2.0&pid=KNP&link=online_help&helpid=273774">Install Python development packages</a>
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- <a href="https://click.kaspersky.com/?hl=en-US&version=2.0&pid=KNP&link=online_help&helpid=283082">Build a platform project</a>
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## Trademark notices
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Registered trademarks and service marks are the property of their respective owners.
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AMD and AMD64 are trademarks or registered trademarks of Advanced Micro Devices, Inc.\
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Apache is either a registered trademark or a trademark of the Apache Software Foundation.\
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Apple, Leopard, Mac, Mac OS, macOS, OS X, Objective-C, Safari, TrueType, and Xcode are trademarks of Apple Inc.\
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Arm is a registered trademark of Arm Limited (or its subsidiaries) in the US and/or elsewhere.\
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Borland is a trademark or registered trademark of Borland Software Corporation.\
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Ubuntu and LTS are registered trademarks of Canonical Ltd.\
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Docker and the Docker logo are trademarks or registered trademarks of Docker, Inc. in the United States and/or other countries. Docker, Inc. and other parties may also have trademark rights in other terms used herein.\
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FreeBSD is a registered trademark of The FreeBSD Foundation.\
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GITHUB is a trademark of GitHub, Inc., registered in the United States and other countries.\
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GITLAB is a trademark of GitLab Inc. in the United States and other countries and regions.\
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Google, Chrome, and Chromium are trademarks of Google LLC.\
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TensorFlow and any related marks are trademarks of Google LLC.\
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Intel, Core, and Pentium are trademarks of Intel Corporation or its subsidiaries.\
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IBM is a trademark of International Business Machines Corporation, registered in many jurisdictions worldwide.\
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Linux is the registered trademark of Linus Torvalds in the U.S. and other countries.\
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Microsoft, Consolas, Internet Explorer, OpenType, Segoe, Visual Studio, Win32, and Windows are trademarks of the Microsoft group of companies.\
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Firefox is a trademark of the Mozilla Foundation in the U.S. and other countries.\
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NVIDIA is a registered trademark of NVIDIA Corporation.\
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Java and JavaScript are registered trademarks of Oracle and/or its affiliates.\
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Python is a trademark or registered trademark of the Python Software Foundation.\
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Debian is a registered trademark of Software in the Public Interest, Inc.\
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QT is a trademark or registered trademark of The Qt Company Ltd.\
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UNIX is a registered trademark in the United States and other countries, licensed exclusively through X/Open Company Limited.
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## Contribution
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This is an open source project. If you are interested in making a code contribution, please see `CONTRIBUTING.md` for more information.
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## License
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Licensed under the Apache 2.0 License. See the `LICENSE.txt` file in the root directory for details.
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© 2025 AO Kaspersky Lab
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