Safer Zekâ offers users an environment that provides the tools, libraries, models and services they need in their work providing services in the fields of data analytics and machine learning. Safir Zekâ is from the family of platforms known as machine learning as a service (MLaaS).
Safir Zekâ offers a development environment in which existing machine learning (ML) libraries are installed, models compiled from publications with proven performance and high applicability by academic studies are presented as a ready-to-use service, and 3rd party packages can also be installed. Ready-to-use models can be accessed via a software programming interface (API).
Software developers, data scientists and end users can also develop their own machine learning applications with Safir Zekâ.
By using container-based infrastructure technologies in the Safir Zekâ environment, services are provided in a portable structure with high accessibility.
Safir Zekâ also has a simplified process wizard;
Instant data supply from external sources,
Loading data from local sources,
Data preview and normalization,
Visualization of processed data,
Creating a machine learning model,
It offers developers an easy-to-manage interface for training and testing all specified models. It offers developers an easy-to-manage interface for testing. It is also possible to automatically publish models produced with the process wizard.
Within the scope of the Safir Zekâ Project, R&D activities continue within B3Lab and it is aimed to increase the user experience to the highest level by adding new features to the system in line with the needs of the sector and the academy.
Safir Zekâ Project has been forked as Safir Zekâ Avionics to meet the machine learning requirements intended to be used for advanced technologies that a new generation aircraft may need within the scope of the National Combat Aircraft (MMU) Project, which was initiated to meet the needs of the Turkish Armed Forces.
Safir Zekâ Avionics is a machine learning library development project developed within the scope of the MMU Project, specialized for avionics data analysis and avionics artificial intelligence use cases.
Via B3Lab/ TübitakBİLGEM/
@Radonsider