Securayer Releases Latest Open Source Version of 'Automated Data Analysis Model Recommendation Technology'

Securayer (CEO Jeon Joo-ho) is taking the lead in enhancing domestic original technology by open-sourcing key new technologies such as XAI, AutoML, and HPO.

Securayer announced on the 18th that it has updated the open source of its automated data analysis model recommendation technology, 'AutoAPE', and released a library that includes the latest version.

'AutoAPE' is an 'automated big data analysis model recommendation technology' that automatically generates big data analysis models based on the characteristics of the data and the analysis purpose/intention. The goal of 'AutoAPE' is to implement a system where models at the level of primates learn on their own and evolve into models that exceed the level developed by humans, according to Securayer. This technology has been developed over a total of four years as part of the 'SW Computing Industry Original Technology Development Project (2020-0-00107)' supported by the Institute for Information & Communications Technology Planning and Evaluation (IITP).

The updated latest library of 'AutoAPE' reflects issues such as security vulnerability improvements and performance enhancements. Securayer has been open-sourcing some of its core technologies, including AutoML, XAI, and HPO, through the AutoAPE website.

The open source can be accessed by anyone who registers as a member on the AutoAPE website and submits a usage application. A developer conference themed around new technologies such as AutoML, XAI, and HPO, 'STICK 2023', will also be made available for free.

Securayer's Executive Director Yoo Jin-sang stated, “We have been dedicated to developing 'AutoAPE' so that even non-experts can easily analyze and utilize big data,” and emphasized, “By lowering the entry barriers to big data and AI technologies from public to private sectors and promoting the development of a new technology ecosystem, we will secure an irreplaceable competitive edge.”

Go to AutoAPE site https://autoape.kr/index.php