# Kaspersky Neuromorphic Platform changelog
 
## Release for Kaspersky Neuromorphic Platform 2.0 - 2025-12

### Changes

* Distribution kit for developing Linux applications: added packages containing a backend library for GPUs with CUDA support technology.
* Backends:
  * `CUDABackend`: added an interface for the GPU backend.
  * `SingleThreadedCPUBackend` backend: added neuron support based on the AltAILIF model.
  * `MultiThreadedCPUBackend` backend: added neuron support based on the SynapticResourceSTDPBLIFATNeuron model and synapse based on the SynapticResourceSTDPDeltaSynapse model.
  * Optimized CPU backend operation.
* C++ components:
  * `core` library: extended the functionality for the `Backend`, `MessageBus`, `MessageEndpoint`, `Population`, `Projection`, `Subscription`, and `TagMap` classes.
  * Framework for C ++: extended the functionality of the C++ framework:
    * `data_processing` namespace: added a namespace that provides functionality for processing classification model training and testing data.
    * `inference_evaluation` namespace: added a namespace that provides functionality for evaluating model quality.
    * `modifier` namespace: added a namespace that provides message handlers.
    * `normalization` namespace: added a namespace that provides functions and functors for normalizing the parameters of neurons and synapses in neural networks.
    * `monitoring` namespace: added the model namespace with model monitoring functions.
    * `projection` namespace: added functions to generate synapses and synapse projections.
    * `ModelExecutor` class: added methods.
  * `neuron_traits` library: extended the neuron interfaces for the `BLIFATNeuron` and `SynapticResourceSTDPBLIFATNeuron` models.
* Components for use in Python: added methods for the `ModelExecutor` and `UID` classes.
* `synapse_traits` library (for use in C++ and Python): extended the interface of the synapse based on the `SynapticResourceSTDPDeltaSynapse` model.
* Example `mnist-learn` is an added example of training a neural network on images of handwritten numbers and their labels from the MNIST database and its execution.

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