IntelligenceLab is an Artificial Intelligence library that can be used for data grouping, SPAM filters, computer vision, speech recognition, or any other classification task.
The library contains classifiers, training components, and a general purpose neuron component.
- SPAM filters.
- OCR applications.
- Computer Vision.
- Speech recognition.
- Data classification.
- Decision making.
IntelligenceLab is implemented using very fast MMX optimized libraries.
- Intel MMX
- Intel Performance Primitives ( IPP )
Our component libraries come in 3 versions a VCL - Firemonkey version (for Delphi / C++ Builder / RAD Studio XE2 to XE4), an MFC compatible Visual C++ version, and a .NET 2.0-4.5 version (compatible with Visual Studio 2005 to 2012).
The RAD Studio version is a set of native VCL and Firemonkey components.
The Visual C++ version is a set of native Visual C++ classes (components).
The .NET 2.0-4.5 version is a set of managed .NET components. The .NET version has the same performance as the native versions, and supports all the Microsoft .NET languages including Visual Basic, C#, J# and C++/CLI.
Due to the unique architecture of the OpenWire platform, the components are implemented the same way in Managed .NET and native Windows (32 and 64 bit) environments. The code to control a component from VB.NET, C++/CLI, C#, and J#, Visual C++ MFC, Delphi, and C++ Builder is almost identical. This allows the developers to migrate and share code between the different environments thus significantly improving the productivity.