Released Jan. 31st, 2026.

• Allow batching when training RNN with ragged lengths (#4042).

• Fixed generated artifiacts in resized float images by using clamping (#4030).

• Optimize convolution (#3988).

• Added GELUExact ANN activation layer (#3994).

• Adapt GRU ANN layer to the new interface (#3955).

• Fix warning on CRAN for bundled STB (#3950).

• Fix potential MSVC constructor shadowing (#3958).

• Use a looser check for auto-detection of categorical file types (#3961).

• Accelerate CELU layer (#3975).

• Fix dependency detection bugs in mlpack.cmake (#3981).

• Add a SumReduce layer (#3991).

• Update header used by R packages compiling directly against C++ API (#3990).

• Add FFN::Add() and RNN::Add() with copy and move semantics; use these instead of passing layers to Add() as pointers (#3974).

• Mark long-running tests with the [long] tag (#3983).

• Added DAGNetwork class to represent complex neural network structures (#3944).

• Fix mask handling in MultiHeadAttention layer (#3998)

• Added data::GroupChannels() and data::InterleaveChannels() for preprocessing images before using Convolution layers. (#4006)

• Fix infinite recursion in Octree when the number of identical points exceeds maxLeafSize (#4020).

• Add Embedding layer (#3999).

• Add YOLOv3Tiny for object detection (#4023).

• Fix thread-specific random seed initialization (#4027).

• R bindings now return class attributes as vector with the given model, mlpack model bindings and list as fallback (#4045).

• Added BoundingBoxImage() for drawing bounding boxes onto images when doing tasks such as object detection (#4039).