April 13, 2024 10:35 am

IntelligenceLab for Microsoft .NET

IntelligenceLab for Microsoft .NET

IntelligenceLab for Microsoft .NET

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Developer’s Description

By Mitov Software

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. IntelligenceLab is implemented using very fast MMX optimized libraries. Feature include neural Networks, self-Organizing Map, naive Bayes, Nearest Neighbor, back Propagation, and data Preparation

Include artificial intelligence processing capabilities in your .NET applications to enforce computer vision, OCR functionality, speech recognition, spam filtering, and efficient data sorting

The evolution of technology led to the creation of computer programs which can more or less think for themselves. Sure enough, these are rough forms, and artificial intelligence is so far used to better filter search results, recognize objects, and more. In this regard, IntelligenceLab .NET provides the necessary means to integrate AI into development projects.

One the one hand, this set of libraries is specially designed to be used with .NET programming languages such as Visual Basic, C#, J#, and C++ while .NET Framework needs to be on the target PC for everything to function.

The library’s main focus is data grouping, which comes in handy as spam filters, computer vision, speech recognition, OCR applications, decision making, and more. It’s fully compatible and can directly integrate with other dedicated libraries like VideoLabAudioLabSignalLabVisionLab, and more.

As such, the resulting application can be oriented towards different practices, such as face and motion detection in videos, the possibility to trigger commands through voice, and automatic classification of data.

An application which contains IntelligenceLab .NET is automatically set to learn for optimization in time through training components, classifiers, and a general purpose neuron component. There’s a built-in sample to clear things out. Furthermore, libraries are optimized for fast processing using the Intel Performance Primitives technology, closely relying on MMX processor features.

System requirements

  • .NET FRAMEWORK 4.0 AND NEWER

Limitations in the unregistered version

  • Does not include the source code

 

Build AI and classifier applications fast!
  •  Neural Networks
  •  Self-Organizing Map
  •  Naive Bayes
  •  K Nearest Neighbor
  •  Back Propagation
  •  Data Preparation

 

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.

Typical applications:

  • SPAM filters.
  • OCR applications.
  • Computer Vision.
  • Speech recognition.
  • Data classification.
  • Decision making.
IntelligenceLab is implemented using very fast MMX optimized libraries.
Intel:
  • Intel MMX
  • Intel Performance Primitives ( IPP )
IntelligenceLab is fully compatible and directly integrates with SignalLab, VideoLab, AudioLab, VisionLab, InstrumentLab, and PlotLab.

 

Our component libraries come in 3 versions a VCL – Firemonkey version (for Delphi / C++ Builder / RAD Studio 10.3), an MFC compatible Visual C++ version, and a .NET 4.0 supporting Visual Studio 2005 to 2019.
The RAD Studio version is a set of native VCL and Firemonkey components of which all include now the powerful Mitov Runtime.
The Visual C++ version is a set of native Visual C++ classes (components).
The NET 4.0 (4.5 and higher compatible) 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#, F# 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.

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