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▲ Demonstration image of Syma AI's Modalix-based 16-channel video AI detection pipeline
Demonstration of low-power AI semiconductors and development tools scheduled
Cima Technologies Korea unveils a physical AI solution focused on on-device environments. The company plans to demonstrate its hardware and software product families on-site, with low-power, high-performance AI implementation as its core.
Cima Technologies Korea announced that it will participate in the '9th International Artificial Intelligence Exhibition (AI EXPO KOREA 2026)' held at COEX in Seoul from May 6 to 8 and showcase on-device physical AI solutions.
This exhibition was planned to reflect the transition from cloud-centric AI to on-device AI amidst increasing demands for data security, latency, and cost efficiency driven by the proliferation of generative AI.
Sima Technologies Korea plans to introduce a product line of hardware and software that supports the implementation of physical AI through its exhibition booth.
The exhibits include the Machine Learning System-on-Chip Modalix (MLSoC Modalix), the Modalix System-on-Module (Modalix SoM), the Modalix Development Kit, and the Palette Software Development Kit (Palette SDK).
The company announced that it plans to explain how to run AI models in an on-device environment and their potential for application in actual industrial settings through demos utilizing these products.
At the exhibition, demonstrations will be conducted focusing on application scenarios across the entire Physical AI portfolio.
Modalix, the MLSoC presented as a core product, is a second-generation machine learning system-on-chip that supports various workloads such as large-scale language models, transformers, convolutional neural networks, and generative AI under power consumption conditions of less than 10 watts.
Sima Technologies Korea explained that the chip was designed to perform AI computations even in low-power environments.
In addition, it was stated that the Modalix System-on-Module supports pin and form factor compatibility with major GPU-based modules, enhancing flexibility in the system integration and expansion process.
Kim Jae-kyung, General Manager of Sima Technologies Korea, assessed the Korean market as suitable for the application of physical AI due to its environment combining the semiconductor, manufacturing, and robotics industries, and stated his intention to expand contact points with domestic customers and partners through this exhibition.
Meanwhile, Cima AI, the parent company of Cima Technologies Korea, is an edge AI semiconductor company based in San Jose, USA, and has recently been expanding its physical AI-related partnerships through cooperation with domestic companies such as Nota and Images Technologies.
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