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ETRI Unveils No-Code Machine Learning Tools for Innovative Development

Source: newswise.com

Published on January 2, 2026

Updated on January 2, 2026

ETRI Unveils No-Code Machine Learning Tools for Innovative Development

The Electronics and Telecommunications Research Institute (ETRI) has announced the release of its no-code machine learning development tools, marking a significant step forward in simplifying artificial intelligence (AI) development. This move is poised to democratize AI by making it accessible to a broader range of users, including those without extensive programming knowledge.

The new tools, designed to streamline the process of creating and deploying machine learning models, eliminate the need for complex coding. This innovation aligns with the growing trend of no-code platforms, which have gained popularity for their ability to accelerate development and reduce barriers to entry. By removing the technical hurdles associated with traditional AI development, ETRI aims to empower more individuals and organizations to leverage the power of machine learning.

Simplifying AI Development

ETRI’s no-code tools are particularly noteworthy for their user-friendly interface, which allows users to build machine learning models through a visual, drag-and-drop system. This approach not only saves time but also reduces the costs typically associated with hiring specialized developers. The tools include pre-built algorithms and templates, enabling users to quickly prototype and test their models without writing a single line of code.

This development is expected to have a profound impact on industries ranging from healthcare to finance, where AI applications are increasingly critical. For instance, in healthcare, no-code tools could enable medical professionals to develop predictive models for patient outcomes without requiring advanced technical skills. Similarly, financial analysts could use these tools to create models for risk assessment or market prediction, enhancing their decision-making processes.

The Future of Machine Learning Accessibility

The release of ETRI’s no-code tools reflects a broader industry shift toward making AI more accessible. As AI continues to permeate various sectors, the demand for user-friendly development solutions has surged. Companies are increasingly recognizing the value of no-code platforms in accelerating innovation and driving growth. ETRI’s contribution to this space underscores its commitment to pushing the boundaries of what is possible with AI.

While the potential of no-code AI tools is immense, challenges remain. Ensuring the security and reliability of models developed through no-code platforms is a key concern. Additionally, there is a need for robust training and support systems to help users effectively utilize these tools. However, with continued advancements and industry collaboration, the future of no-code AI development looks promising.