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Updated the project list.
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content/projects/GENOME/index.md

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---
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# Project's title
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title: "GENOME: GENerative and connected intelligence for 6G Open ManagemEnt"
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# Short summary of the project
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summary: "AI and large language models (LLMs) are increasingly used to handle complex tasks across many fields. In network management, they offer powerful tools to automate operations, improve efficiency, and optimise performance. Supported by the Marie Skłodowska-Curie Actions programme, the GENOME project aims to design, develop, and test LLM-based solutions for the autonomous management of different network domains."
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# When project started and ended
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date_start: "2026-01-01"
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date_end: "2029-12-31"
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# Tags/Categories
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tags:
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- 6G
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- AI
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- LLM
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- network management
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AI and large language models (LLMs) are increasingly used to handle complex tasks across many fields. In network management, they offer powerful tools to automate operations, improve efficiency, and optimise performance. Supported by the Marie Skłodowska-Curie Actions programme, the GENOME project aims to design, develop, and test LLM-based solutions for the autonomous management of different network domains. Using task-agnostic network functions and intent-based networking, it intends to create an intelligence framework that enables coordination, rapid learning, and conflict-free decision-making, strengthening both efficiency and resilience.

content/projects/GOTOTWIN/index.md

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# Project's title
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title: "GOTOTWIN: Advancing Renewable Energy in the Adriatic Ionian Region through the Use of Digital Twins"
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# Featured image used for thumbnail and banner at detail page
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featured_image: "logo.png"
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# Short summary of the project
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summary: "The GoToTwin project addresses the common challenge of accelerating the adoption and integration of renewable energy sources in the Adriatic Ionian region. The project leverages digital twin technology to tackle pressing energy and sustainability issues in the region."
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# When project started and ended
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date_start: "2024-01-01T00:00:00Z"
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date_end: "2026-12-31T00:00:00Z"
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# Tags/Categories
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tags:
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- energy
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- digital twin
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- renewable energy
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The GoToTwin project addresses the common challenge of accelerating the adoption and integration of renewable energy sources in the Adriatic Ionian region. The project leverages digital twin technology to tackle pressing energy and sustainability issues in the region. The overall objective of the project is to establish a robust and transnational digital twin framework tailored for renewable energy applications. This framework will enable stakeholders to effectively manage energy systems, optimise resource utilisation, and enhance overall system efficiency. By harnessing advanced technologies like artificial intelligence and data analytics, stakeholders will be empowered to make well-informed decisions and maximise renewable energy generation.

content/projects/GOTOTWIN/logo.png

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