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RESOPS

Resilient Operations for Industrial Processes

RESOPS addresses the challenges arising from increasingly autonomous industrial plants, where human operators are shifting from direct process control to higher-level supervision, decision-making, and intervention in rare but critical situations.

ITEA
2026 - 2029
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CLEAR
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Comprehensive Learning for Enhanced AI Responsiveness

CLEAR addresses challenges in integrating diverse, multimodal data into industrial AI systems and improving the reliability of their outputs. By leveraging advanced AI techniques and context-aware capabilities, CLEAR will boost the capabilities of LMMs and LLMs to efficiently manage complex data inputs, while minimising AI hallucinations. The project intends to lower operational costs, improve safety, and boost system reliability across sectors like transportation, agriculture, and manufacturing

ITEA
2025 - 2028
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