@hslu-aai

AAI

Applied AI Research Lab at HSLU

Applied AI Research Lab 👩‍💻👨‍💻

  • Department of Computer Science and Information Technology
  • Hochschule Luzern (HSLU)
  • Suurstoffi 4, CH-6343 Rotkreuz (ZG)

More information, contact, links to people and videos on the Lab's website

Mission 🚀

The Applied Artificial Intelligence (AAI) Research Lab is dedicated to bridging the gap between AI technologies and real-world challenges, with the goal to bring innovative solutions to people, companies, and institutions.

Expertise 🎓

We specialize in prototyping, evaluating, and industrializing machine-learning systems. We are enthusiastic about solving problems by implementing science into practice.

Our expertise spans a broad range of AI topics including recommender systems, data-centric AI, model evaluation, reinforcement learning, and generative AI, as well as many different data types – images, text, audio, video, tables, and time series. We provide tailored solutions that meet the specific needs of our partners by identifying effective third-party products, implementing state-of-the-art research, or developing own new methods.

At the AAI Research Lab, we believe in interdisciplinary collaboration and work with leaders in MedTech, sports, retail, FoodTech, events, and many more areas. We partner with businesses, startups, NGOs, and other research institutions to provide actionable insights and scalable solutions according to requests. Whether you are looking to optimize processes, enhance decision-making, or innovate with new AI-driven products, our team of experts is here to support your journey from concept to production.

Work with us 💼

Explore the potential of applied AI with us and stay ahead in a rapidly evolving technological landscape. Together, we can turn your data into a powerful asset, driving sustainable growth and real innovation in your industry.

Popular repositories Loading

  1. xai xaiPublic

    Explainable AI module notes

    Python 1

  2. .github .githubPublic

    Profile repository

  3. aiforall-exercises aiforall-exercisesPublic

    Exercises for the AI for All Course

    Jupyter Notebook 1

  4. audiocraft audiocraftPublic

    Forked from facebookresearch/audiocraft

    Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…

    Jupyter Notebook

  5. xai-exercises xai-exercisesPublic

    Repository for files related to exercises for the XAI module

  6. selfclean-audio selfclean-audioPublic

    Code for Representation-Based Data Quality Audits for Audio [ICASSP 2026]

    Python

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
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@hslu-aai

AAI

Applied AI Research Lab at HSLU

Applied AI Research Lab 👩‍💻👨‍💻

  • Department of Computer Science and Information Technology
  • Hochschule Luzern (HSLU)
  • Suurstoffi 4, CH-6343 Rotkreuz (ZG)

More information, contact, links to people and videos on the Lab's website

Mission 🚀

The Applied Artificial Intelligence (AAI) Research Lab is dedicated to bridging the gap between AI technologies and real-world challenges, with the goal to bring innovative solutions to people, companies, and institutions.

Expertise 🎓

We specialize in prototyping, evaluating, and industrializing machine-learning systems. We are enthusiastic about solving problems by implementing science into practice.

Our expertise spans a broad range of AI topics including recommender systems, data-centric AI, model evaluation, reinforcement learning, and generative AI, as well as many different data types – images, text, audio, video, tables, and time series. We provide tailored solutions that meet the specific needs of our partners by identifying effective third-party products, implementing state-of-the-art research, or developing own new methods.

At the AAI Research Lab, we believe in interdisciplinary collaboration and work with leaders in MedTech, sports, retail, FoodTech, events, and many more areas. We partner with businesses, startups, NGOs, and other research institutions to provide actionable insights and scalable solutions according to requests. Whether you are looking to optimize processes, enhance decision-making, or innovate with new AI-driven products, our team of experts is here to support your journey from concept to production.

Work with us 💼

Explore the potential of applied AI with us and stay ahead in a rapidly evolving technological landscape. Together, we can turn your data into a powerful asset, driving sustainable growth and real innovation in your industry.

Popular repositories Loading

  1. xai xaiPublic

    Explainable AI module notes

    Python 1

  2. .github .githubPublic

    Profile repository

  3. aiforall-exercises aiforall-exercisesPublic

    Exercises for the AI for All Course

    Jupyter Notebook 1

  4. audiocraft audiocraftPublic

    Forked from facebookresearch/audiocraft

    Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…

    Jupyter Notebook

  5. xai-exercises xai-exercisesPublic

    Repository for files related to exercises for the XAI module

  6. selfclean-audio selfclean-audioPublic

    Code for Representation-Based Data Quality Audits for Audio [ICASSP 2026]

    Python

Repositories

Showing 6 of 6 repositories

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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@hslu-aai

AAI

Applied AI Research Lab at HSLU

Applied AI Research Lab 👩‍💻👨‍💻

  • Department of Computer Science and Information Technology
  • Hochschule Luzern (HSLU)
  • Suurstoffi 4, CH-6343 Rotkreuz (ZG)

More information, contact, links to people and videos on the Lab's website

Mission 🚀

The Applied Artificial Intelligence (AAI) Research Lab is dedicated to bridging the gap between AI technologies and real-world challenges, with the goal to bring innovative solutions to people, companies, and institutions.

Expertise 🎓

We specialize in prototyping, evaluating, and industrializing machine-learning systems. We are enthusiastic about solving problems by implementing science into practice.

Our expertise spans a broad range of AI topics including recommender systems, data-centric AI, model evaluation, reinforcement learning, and generative AI, as well as many different data types – images, text, audio, video, tables, and time series. We provide tailored solutions that meet the specific needs of our partners by identifying effective third-party products, implementing state-of-the-art research, or developing own new methods.

At the AAI Research Lab, we believe in interdisciplinary collaboration and work with leaders in MedTech, sports, retail, FoodTech, events, and many more areas. We partner with businesses, startups, NGOs, and other research institutions to provide actionable insights and scalable solutions according to requests. Whether you are looking to optimize processes, enhance decision-making, or innovate with new AI-driven products, our team of experts is here to support your journey from concept to production.

Work with us 💼

Explore the potential of applied AI with us and stay ahead in a rapidly evolving technological landscape. Together, we can turn your data into a powerful asset, driving sustainable growth and real innovation in your industry.

Popular repositories Loading

  1. xai xaiPublic

    Explainable AI module notes

    Python 1

  2. .github .githubPublic

    Profile repository

  3. aiforall-exercises aiforall-exercisesPublic

    Exercises for the AI for All Course

    Jupyter Notebook 1

  4. audiocraft audiocraftPublic

    Forked from facebookresearch/audiocraft

    Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…

    Jupyter Notebook

  5. xai-exercises xai-exercisesPublic

    Repository for files related to exercises for the XAI module

  6. selfclean-audio selfclean-audioPublic

    Code for Representation-Based Data Quality Audits for Audio [ICASSP 2026]

    Python

Repositories

Showing 6 of 6 repositories

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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@hslu-aai

AAI

Applied AI Research Lab at HSLU

Applied AI Research Lab 👩‍💻👨‍💻

  • Department of Computer Science and Information Technology
  • Hochschule Luzern (HSLU)
  • Suurstoffi 4, CH-6343 Rotkreuz (ZG)

More information, contact, links to people and videos on the Lab's website

Mission 🚀

The Applied Artificial Intelligence (AAI) Research Lab is dedicated to bridging the gap between AI technologies and real-world challenges, with the goal to bring innovative solutions to people, companies, and institutions.

Expertise 🎓

We specialize in prototyping, evaluating, and industrializing machine-learning systems. We are enthusiastic about solving problems by implementing science into practice.

Our expertise spans a broad range of AI topics including recommender systems, data-centric AI, model evaluation, reinforcement learning, and generative AI, as well as many different data types – images, text, audio, video, tables, and time series. We provide tailored solutions that meet the specific needs of our partners by identifying effective third-party products, implementing state-of-the-art research, or developing own new methods.

At the AAI Research Lab, we believe in interdisciplinary collaboration and work with leaders in MedTech, sports, retail, FoodTech, events, and many more areas. We partner with businesses, startups, NGOs, and other research institutions to provide actionable insights and scalable solutions according to requests. Whether you are looking to optimize processes, enhance decision-making, or innovate with new AI-driven products, our team of experts is here to support your journey from concept to production.

Work with us 💼

Explore the potential of applied AI with us and stay ahead in a rapidly evolving technological landscape. Together, we can turn your data into a powerful asset, driving sustainable growth and real innovation in your industry.

Popular repositories Loading

  1. xai xaiPublic

    Explainable AI module notes

    Python 1

  2. .github .githubPublic

    Profile repository

  3. aiforall-exercises aiforall-exercisesPublic

    Exercises for the AI for All Course

    Jupyter Notebook 1

  4. audiocraft audiocraftPublic

    Forked from facebookresearch/audiocraft

    Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…

    Jupyter Notebook

  5. xai-exercises xai-exercisesPublic

    Repository for files related to exercises for the XAI module

  6. selfclean-audio selfclean-audioPublic

    Code for Representation-Based Data Quality Audits for Audio [ICASSP 2026]

    Python

Repositories

Showing 6 of 6 repositories

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
Skip to content
@hslu-aai

AAI

Applied AI Research Lab at HSLU

Applied AI Research Lab 👩‍💻👨‍💻

  • Department of Computer Science and Information Technology
  • Hochschule Luzern (HSLU)
  • Suurstoffi 4, CH-6343 Rotkreuz (ZG)

More information, contact, links to people and videos on the Lab's website

Mission 🚀

The Applied Artificial Intelligence (AAI) Research Lab is dedicated to bridging the gap between AI technologies and real-world challenges, with the goal to bring innovative solutions to people, companies, and institutions.

Expertise 🎓

We specialize in prototyping, evaluating, and industrializing machine-learning systems. We are enthusiastic about solving problems by implementing science into practice.

Our expertise spans a broad range of AI topics including recommender systems, data-centric AI, model evaluation, reinforcement learning, and generative AI, as well as many different data types – images, text, audio, video, tables, and time series. We provide tailored solutions that meet the specific needs of our partners by identifying effective third-party products, implementing state-of-the-art research, or developing own new methods.

At the AAI Research Lab, we believe in interdisciplinary collaboration and work with leaders in MedTech, sports, retail, FoodTech, events, and many more areas. We partner with businesses, startups, NGOs, and other research institutions to provide actionable insights and scalable solutions according to requests. Whether you are looking to optimize processes, enhance decision-making, or innovate with new AI-driven products, our team of experts is here to support your journey from concept to production.

Work with us 💼

Explore the potential of applied AI with us and stay ahead in a rapidly evolving technological landscape. Together, we can turn your data into a powerful asset, driving sustainable growth and real innovation in your industry.

Popular repositories Loading

  1. xai xaiPublic

    Explainable AI module notes

    Python 1

  2. .github .githubPublic

    Profile repository

  3. aiforall-exercises aiforall-exercisesPublic

    Exercises for the AI for All Course

    Jupyter Notebook 1

  4. audiocraft audiocraftPublic

    Forked from facebookresearch/audiocraft

    Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…

    Jupyter Notebook

  5. xai-exercises xai-exercisesPublic

    Repository for files related to exercises for the XAI module

  6. selfclean-audio selfclean-audioPublic

    Code for Representation-Based Data Quality Audits for Audio [ICASSP 2026]

    Python

Repositories

Showing 6 of 6 repositories

People

This organization has no public members. You must be a member to see who’s a part of this organization.

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content
@hslu-aai

AAI

Applied AI Research Lab at HSLU

Applied AI Research Lab 👩‍💻👨‍💻

  • Department of Computer Science and Information Technology
  • Hochschule Luzern (HSLU)
  • Suurstoffi 4, CH-6343 Rotkreuz (ZG)

More information, contact, links to people and videos on the Lab's website

Mission 🚀

The Applied Artificial Intelligence (AAI) Research Lab is dedicated to bridging the gap between AI technologies and real-world challenges, with the goal to bring innovative solutions to people, companies, and institutions.

Expertise 🎓

We specialize in prototyping, evaluating, and industrializing machine-learning systems. We are enthusiastic about solving problems by implementing science into practice.

Our expertise spans a broad range of AI topics including recommender systems, data-centric AI, model evaluation, reinforcement learning, and generative AI, as well as many different data types – images, text, audio, video, tables, and time series. We provide tailored solutions that meet the specific needs of our partners by identifying effective third-party products, implementing state-of-the-art research, or developing own new methods.

At the AAI Research Lab, we believe in interdisciplinary collaboration and work with leaders in MedTech, sports, retail, FoodTech, events, and many more areas. We partner with businesses, startups, NGOs, and other research institutions to provide actionable insights and scalable solutions according to requests. Whether you are looking to optimize processes, enhance decision-making, or innovate with new AI-driven products, our team of experts is here to support your journey from concept to production.

Work with us 💼

Explore the potential of applied AI with us and stay ahead in a rapidly evolving technological landscape. Together, we can turn your data into a powerful asset, driving sustainable growth and real innovation in your industry.

Popular repositories Loading

  1. xai xaiPublic

    Explainable AI module notes

    Python 1

  2. .github .githubPublic

    Profile repository

  3. aiforall-exercises aiforall-exercisesPublic

    Exercises for the AI for All Course

    Jupyter Notebook 1

  4. audiocraft audiocraftPublic

    Forked from facebookresearch/audiocraft

    Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…

    Jupyter Notebook

  5. xai-exercises xai-exercisesPublic

    Repository for files related to exercises for the XAI module

  6. selfclean-audio selfclean-audioPublic

    Code for Representation-Based Data Quality Audits for Audio [ICASSP 2026]

    Python

Repositories

Showing 6 of 6 repositories

People

This organization has no public members. You must be a member to see who’s a part of this organization.

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content
@hslu-aai

AAI

Applied AI Research Lab at HSLU

Applied AI Research Lab 👩‍💻👨‍💻

  • Department of Computer Science and Information Technology
  • Hochschule Luzern (HSLU)
  • Suurstoffi 4, CH-6343 Rotkreuz (ZG)

More information, contact, links to people and videos on the Lab's website

Mission 🚀

The Applied Artificial Intelligence (AAI) Research Lab is dedicated to bridging the gap between AI technologies and real-world challenges, with the goal to bring innovative solutions to people, companies, and institutions.

Expertise 🎓

We specialize in prototyping, evaluating, and industrializing machine-learning systems. We are enthusiastic about solving problems by implementing science into practice.

Our expertise spans a broad range of AI topics including recommender systems, data-centric AI, model evaluation, reinforcement learning, and generative AI, as well as many different data types – images, text, audio, video, tables, and time series. We provide tailored solutions that meet the specific needs of our partners by identifying effective third-party products, implementing state-of-the-art research, or developing own new methods.

At the AAI Research Lab, we believe in interdisciplinary collaboration and work with leaders in MedTech, sports, retail, FoodTech, events, and many more areas. We partner with businesses, startups, NGOs, and other research institutions to provide actionable insights and scalable solutions according to requests. Whether you are looking to optimize processes, enhance decision-making, or innovate with new AI-driven products, our team of experts is here to support your journey from concept to production.

Work with us 💼

Explore the potential of applied AI with us and stay ahead in a rapidly evolving technological landscape. Together, we can turn your data into a powerful asset, driving sustainable growth and real innovation in your industry.

Popular repositories Loading

  1. xai xaiPublic

    Explainable AI module notes

    Python 1

  2. .github .githubPublic

    Profile repository

  3. aiforall-exercises aiforall-exercisesPublic

    Exercises for the AI for All Course

    Jupyter Notebook 1

  4. audiocraft audiocraftPublic

    Forked from facebookresearch/audiocraft

    Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…

    Jupyter Notebook

  5. xai-exercises xai-exercisesPublic

    Repository for files related to exercises for the XAI module

  6. selfclean-audio selfclean-audioPublic

    Code for Representation-Based Data Quality Audits for Audio [ICASSP 2026]

    Python

Repositories

Showing 6 of 6 repositories

People

This organization has no public members. You must be a member to see who’s a part of this organization.

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
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@hslu-aai

AAI

Applied AI Research Lab at HSLU

Applied AI Research Lab 👩‍💻👨‍💻

  • Department of Computer Science and Information Technology
  • Hochschule Luzern (HSLU)
  • Suurstoffi 4, CH-6343 Rotkreuz (ZG)

More information, contact, links to people and videos on the Lab's website

Mission 🚀

The Applied Artificial Intelligence (AAI) Research Lab is dedicated to bridging the gap between AI technologies and real-world challenges, with the goal to bring innovative solutions to people, companies, and institutions.

Expertise 🎓

We specialize in prototyping, evaluating, and industrializing machine-learning systems. We are enthusiastic about solving problems by implementing science into practice.

Our expertise spans a broad range of AI topics including recommender systems, data-centric AI, model evaluation, reinforcement learning, and generative AI, as well as many different data types – images, text, audio, video, tables, and time series. We provide tailored solutions that meet the specific needs of our partners by identifying effective third-party products, implementing state-of-the-art research, or developing own new methods.

At the AAI Research Lab, we believe in interdisciplinary collaboration and work with leaders in MedTech, sports, retail, FoodTech, events, and many more areas. We partner with businesses, startups, NGOs, and other research institutions to provide actionable insights and scalable solutions according to requests. Whether you are looking to optimize processes, enhance decision-making, or innovate with new AI-driven products, our team of experts is here to support your journey from concept to production.

Work with us 💼

Explore the potential of applied AI with us and stay ahead in a rapidly evolving technological landscape. Together, we can turn your data into a powerful asset, driving sustainable growth and real innovation in your industry.

Popular repositories Loading

  1. xai xaiPublic

    Explainable AI module notes

    Python 1

  2. .github .githubPublic

    Profile repository

  3. aiforall-exercises aiforall-exercisesPublic

    Exercises for the AI for All Course

    Jupyter Notebook 1

  4. audiocraft audiocraftPublic

    Forked from facebookresearch/audiocraft

    Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…

    Jupyter Notebook

  5. xai-exercises xai-exercisesPublic

    Repository for files related to exercises for the XAI module

  6. selfclean-audio selfclean-audioPublic

    Code for Representation-Based Data Quality Audits for Audio [ICASSP 2026]

    Python

Repositories

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