ST Microelectronics and NUS Establish Joint Research Center 'HELIX' for Edge AI

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ST Microelectronics and NUS Establish Joint Research Center 'HELIX' for Edge AI

Published2026.08.28 10:13

Four-Year Project Advancing Research in Embodied AI, In-Memory Computing, and Low-Power Technology Based on FD-SOI

ST Microelectronics (hereinafter ST) and National University of Singapore (hereinafter NUS) have established a four-year joint research center aimed at implementing generative AI and embodied AI in edge environments. Named the 'ST-NUS HELIX Corporate Lab,' this center encompasses the entire technology stack from algorithms to silicon as its research scope.

ST and NUS announced the official launch of the 'HELIX (Hardware for Embodied Low-power Intelligent Xcceleration)' joint research center on the 28th.

Established under NUS's School of Design and Engineering with support from the Singapore government's 'Research, Innovation, and Enterprise 2025 (RIE2025)' initiative, it also involves participation from the College of Computing.

The launch ceremony was attended by Singapore's Senior Minister of State for Trade and Industry, Low Yen Ling.

■ Research on Technology Stack for Edge AI Implementation

HELIX focuses on embodied AI technology that implements intelligence directly into physical devices such as robots, humanoids, and drones.

The key challenge is combining multimodal sensing, on-device computing, and real-time actuation in small hardware with power constraints.

Research concentrates on △memory-centric architecture △innovative in-memory computing △scalable computing-memory systems △advanced silicon and embedded memory technologies.

ST provides NUS with a dedicated design chassis based on its P18 18nm FD-SOI (Fully Depleted Silicon On Insulator) technology.

According to ST, this platform supports ultra-low-power operation and adaptive body-biasing, and when combined with embedded PCM (Phase Change Memory), implements on-chip high-density non-volatile storage.

By reducing off-chip data movement, energy consumption in memory-intensive AI workloads can be lowered.

Laurent Malier, Senior Vice President of ST's Global Technology R&D Division, stated, "Through HELIX, we explore differentiated AI computing technology and establish an industrial foundation for rapidly converting promising research outcomes into scalable semiconductor solutions."

■ Concurrent Development of Semiconductor Talent in Singapore

HELIX also sets talent development for the next generation of semiconductor and AI professionals as a major objective alongside technical research.

The plan is to create an environment where students and researchers can build practical expertise by participating in industry-level projects.

NUS President Professor Tan Eng Chye stated, "By combining NUS's research capabilities with ST's industrial expertise, we are building both the talent and ecosystem to lead Singapore's semiconductor and AI industries in the future."

#ST마이크로일렉트로닉스 #엣지 AI #인메모리 컴퓨팅 #저전력 반도체 #임베디드 AI #NUS #FD-SOI #PCM

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