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‎en/sitemap.xml‎

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‎index.xml‎

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‎projects/genome/index.html‎

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<!doctype html><html lang=en class=no-js><head><meta charset=utf-8><meta http-equiv=X-UA-Compatible content="IE=edge"><meta name=viewport content="width=device-width,initial-scale=1,viewport-fit=cover"><link rel=stylesheet href="/style.min.9749b9d7a7a91de4aa2af1ea9c1dedf7735809d88068f52d71c176563c866e1a.css" integrity="sha256-l0m516epHeSqKvHqnB3t93NYCdiAaPUtccF2VjyGbho=" crossorigin=anonymous><script defer type=text/javascript src=https://sensorlab.github.io/scripts/app.min.91271064de5be6aaf5625fd549054cf88d2f475f1a3ecc5b9860f8c1fc0a4c76.js integrity="sha256-kScQZN5b5qr1Yl/VSQVM+I0vR18aPsxbmGD4wfwKTHY="></script><meta name=google-site-verification content="zl9o8a5lMqKy_2dn2YR6swgC5REHalMWw25PBhJnJSc"><meta name=generator content="Hugo 0.143.1"><meta name=author content="SensorLab"><meta name=keywords content="6G,AI,LLM,network management"><meta name=description content="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."><meta name=robots content="index,follow"><link rel=canonical href=https://sensorlab.github.io/projects/genome/><link rel=alternate hreflang=en href=https://sensorlab.github.io/projects/genome/><link rel=icon type=image/png href=https://sensorlab.github.io/images/favicon.png><meta property="og:url" content="https://sensorlab.github.io/projects/genome/"><meta property="og:site_name" content="SensorLab — Jozef Stefan Institute"><meta property="og:title" content="GENOME: GENerative and connected intelligence for 6G Open ManagemEnt"><meta property="og:description" content="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."><meta property="og:locale" content="en"><meta property="og:type" content="article"><meta property="article:section" content="projects"><meta property="article:tag" content="6G"><meta property="article:tag" content="AI"><meta property="article:tag" content="LLM"><meta property="article:tag" content="Network Management"><meta name=twitter:card content="summary"><meta name=twitter:title content="GENOME: GENerative and connected intelligence for 6G Open ManagemEnt"><meta name=twitter:description content="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."><title>GENOME: GENerative and connected intelligence for 6G Open ManagemEnt &mdash; SensorLab — Jozef Stefan Institute</title></head><body><header class="navbar navbar-expand-md"><div class=container><a class=navbar-brand href=https://sensorlab.github.io/><img src=https://sensorlab.github.io/images/sensorlab-white.min.svg alt="SensorLab logo" class="d-inline-block align-top me-2" height=42>
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</a><button class=navbar-toggler type=button data-bs-toggle=collapse data-bs-target=#navbarToggler aria-controls=navbarToggler aria-expanded=false aria-label="Toggle navigation">
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<span class=navbar-toggler-icon></span></button><nav class="collapse navbar-collapse" id=navbarToggler><ul class="navbar-nav ms-0 ms-md-auto ps-4"><li class=nav-item><a class="nav-link active" href=https://sensorlab.github.io/projects><span>Projects</span></a></li><li class=nav-item><a class=nav-link href=https://sensorlab.github.io/results><span>Results</span></a></li><li class=nav-item><a class=nav-link href=https://sensorlab.github.io/publications><span>Publications</span></a></li><li class=nav-item><a class=nav-link href=https://sensorlab.github.io/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=https://sensorlab.github.io/opportunities><span>Join Us</span></a></li><li class=nav-item><a class=nav-link href=https://sensorlab.github.io/about><span>About</span></a></li></ul></nav></div></header><main class="flex-fill container post my-4" aria-role=main><aside class=my-4></aside><article class=mt-4><header class=mb-4><div><h1>GENOME: GENerative and connected intelligence for 6G Open ManagemEnt</h1><p><span>Duration: Jan 2026 &mdash; Dec 2029</span></p></div></header><section class=my-4><p>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.</p></section></article></main><footer class="container d-flex flex-wrap justify-content-between align-items-center py-3 my-4 border-top"><div class="col-md-6 d-flex align-items-center"><a href=https://sensorlab.github.io/ class="mb-3 me-2 mb-md-0 text-body-secondary text-decoration-none lh-1"><img src=https://sensorlab.github.io/images/sensorlab-color.min.svg style=height:2.5rem>
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</a><span class=text-body-secondary>&copy; 2014&nbsp;&dash;&nbsp;2026 SensorLab, Jozef Stefan Institute</span></div><ul class="nav col-md-6 justify-content-center justify-content-xs-right list-unstyled d-flex flex-wrap"><li class=ms-3><a class=text-body-secondary target=_blank href=https://github.com/sensorlab>GitHub</a></li><li class=ms-3><a class=text-body-secondary target=_blank href=https://twitter.com/CommSysJSI>Twitter</a></li><li class=ms-3><a class=text-body-secondary target=_blank href=https://www.researchgate.net/institution/Joef_Stefan_Institute/department/Komunikacijski_sistemi>ResearchGate</a></li><li class=ms-3><a class=text-body-secondary target=_blank href=https://e6.ijs.si/>Department's site</a></li></ul></footer><script async src="https://www.googletagmanager.com/gtag/js?id=G-KQGSFFY1XV"></script><script>window.dataLayer=window.dataLayer||[];function gtag(){dataLayer.push(arguments)}gtag("js",new Date),gtag("config","G-KQGSFFY1XV")</script></body></html>

‎projects/gototwin/index.html‎

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<!doctype html><html lang=en class=no-js><head><meta charset=utf-8><meta http-equiv=X-UA-Compatible content="IE=edge"><meta name=viewport content="width=device-width,initial-scale=1,viewport-fit=cover"><link rel=stylesheet href="/style.min.9749b9d7a7a91de4aa2af1ea9c1dedf7735809d88068f52d71c176563c866e1a.css" integrity="sha256-l0m516epHeSqKvHqnB3t93NYCdiAaPUtccF2VjyGbho=" crossorigin=anonymous><script defer type=text/javascript src=https://sensorlab.github.io/scripts/app.min.91271064de5be6aaf5625fd549054cf88d2f475f1a3ecc5b9860f8c1fc0a4c76.js integrity="sha256-kScQZN5b5qr1Yl/VSQVM+I0vR18aPsxbmGD4wfwKTHY="></script><meta name=google-site-verification content="zl9o8a5lMqKy_2dn2YR6swgC5REHalMWw25PBhJnJSc"><meta name=generator content="Hugo 0.143.1"><meta name=author content="SensorLab"><meta name=keywords content="energy,digital twin,renewable energy"><meta name=description content="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."><meta name=robots content="index,follow"><link rel=canonical href=https://sensorlab.github.io/projects/gototwin/><link rel=alternate hreflang=en href=https://sensorlab.github.io/projects/gototwin/><link rel=icon type=image/png href=https://sensorlab.github.io/images/favicon.png><meta property="og:url" content="https://sensorlab.github.io/projects/gototwin/"><meta property="og:site_name" content="SensorLab — Jozef Stefan Institute"><meta property="og:title" content="GOTOTWIN: Advancing Renewable Energy in the Adriatic Ionian Region through the Use of Digital Twins"><meta property="og:description" content="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."><meta property="og:locale" content="en"><meta property="og:type" content="article"><meta property="article:section" content="projects"><meta property="article:tag" content="Energy"><meta property="article:tag" content="Digital Twin"><meta property="article:tag" content="Renewable Energy"><meta name=twitter:card content="summary"><meta name=twitter:title content="GOTOTWIN: Advancing Renewable Energy in the Adriatic Ionian Region through the Use of Digital Twins"><meta name=twitter:description content="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."><title>GOTOTWIN: Advancing Renewable Energy in the Adriatic Ionian Region through the Use of Digital Twins &mdash; SensorLab — Jozef Stefan Institute</title></head><body><header class="navbar navbar-expand-md"><div class=container><a class=navbar-brand href=https://sensorlab.github.io/><img src=https://sensorlab.github.io/images/sensorlab-white.min.svg alt="SensorLab logo" class="d-inline-block align-top me-2" height=42>
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</a><button class=navbar-toggler type=button data-bs-toggle=collapse data-bs-target=#navbarToggler aria-controls=navbarToggler aria-expanded=false aria-label="Toggle navigation">
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<span class=navbar-toggler-icon></span></button><nav class="collapse navbar-collapse" id=navbarToggler><ul class="navbar-nav ms-0 ms-md-auto ps-4"><li class=nav-item><a class="nav-link active" href=https://sensorlab.github.io/projects><span>Projects</span></a></li><li class=nav-item><a class=nav-link href=https://sensorlab.github.io/results><span>Results</span></a></li><li class=nav-item><a class=nav-link href=https://sensorlab.github.io/publications><span>Publications</span></a></li><li class=nav-item><a class=nav-link href=https://sensorlab.github.io/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=https://sensorlab.github.io/opportunities><span>Join Us</span></a></li><li class=nav-item><a class=nav-link href=https://sensorlab.github.io/about><span>About</span></a></li></ul></nav></div></header><main class="flex-fill container post my-4" aria-role=main><aside class=my-4></aside><article class=mt-4><header class=mb-4><div><img src=https://sensorlab.github.io/projects/gototwin/logo_hu_a0a831f93a7bcba7.webp alt="GOTOTWIN: Advancing Renewable Energy in the Adriatic Ionian Region through the Use of Digital Twins logo" class="me-3 mb-2" height=38 width=200 style=max-width:min(200px,100vw)></div><div><h1>GOTOTWIN: Advancing Renewable Energy in the Adriatic Ionian Region through the Use of Digital Twins</h1><p><span>Duration: Jan 2024 &mdash; Dec 2026</span></p></div></header><section class=my-4><p>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.</p></section></article></main><footer class="container d-flex flex-wrap justify-content-between align-items-center py-3 my-4 border-top"><div class="col-md-6 d-flex align-items-center"><a href=https://sensorlab.github.io/ class="mb-3 me-2 mb-md-0 text-body-secondary text-decoration-none lh-1"><img src=https://sensorlab.github.io/images/sensorlab-color.min.svg style=height:2.5rem>
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</a><span class=text-body-secondary>&copy; 2014&nbsp;&dash;&nbsp;2026 SensorLab, Jozef Stefan Institute</span></div><ul class="nav col-md-6 justify-content-center justify-content-xs-right list-unstyled d-flex flex-wrap"><li class=ms-3><a class=text-body-secondary target=_blank href=https://github.com/sensorlab>GitHub</a></li><li class=ms-3><a class=text-body-secondary target=_blank href=https://twitter.com/CommSysJSI>Twitter</a></li><li class=ms-3><a class=text-body-secondary target=_blank href=https://www.researchgate.net/institution/Joef_Stefan_Institute/department/Komunikacijski_sistemi>ResearchGate</a></li><li class=ms-3><a class=text-body-secondary target=_blank href=https://e6.ijs.si/>Department's site</a></li></ul></footer><script async src="https://www.googletagmanager.com/gtag/js?id=G-KQGSFFY1XV"></script><script>window.dataLayer=window.dataLayer||[];function gtag(){dataLayer.push(arguments)}gtag("js",new Date),gtag("config","G-KQGSFFY1XV")</script></body></html>

‎projects/gototwin/logo.png‎

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‎projects/gototwin/logo_hu_a0a831f93a7bcba7.webp‎

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