<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="4.4.1">Jekyll</generator><link href="https://ni-ki.org/feed.xml" rel="self" type="application/atom+xml" /><link href="https://ni-ki.org/" rel="alternate" type="text/html" /><updated>2026-10-01T08:08:48+00:00</updated><id>https://ni-ki.org/feed.xml</id><title type="html">NI:KI</title><subtitle>Neurobiologisch inspirierte Künstliche Intelligenz – interdisciplinary pilot projects bridging neuroscience and AI, funded by BMFTR (2025-2028)</subtitle><entry><title type="html">Save the Date: International Symposium</title><link href="https://ni-ki.org/news/sensorimotor-transformation-symposium/" rel="alternate" type="text/html" title="Save the Date: International Symposium" /><published>2026-10-01T00:00:00+00:00</published><updated>2026-10-01T00:00:00+00:00</updated><id>https://ni-ki.org/news/sensorimotor-transformation-symposium</id><content type="html" xml:base="https://ni-ki.org/news/sensorimotor-transformation-symposium/"><![CDATA[<div class="lang-en">
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      <p>The <strong>CompSeq</strong> team, together with <strong>BrainLinks-BrainTools</strong> at the University of Freiburg, is hosting an <strong>International Symposium on Sensorimotor Transformation</strong> on <strong>October 15–16, 2026</strong>, in Freiburg — a meeting point for neuroscience and AI.</p>

      <p>The symposium examines sensorimotor transformations and the role of internal world models in perception, action, and adaptation, bringing together researchers from neuroscience, neurotechnology, artificial intelligence, and robotics to discuss how biological and artificial systems integrate sensory information, build predictive models of the environment, and translate these into goal-directed action.</p>

      <ul>
        <li><strong>Date</strong>: October 15–16, 2026</li>
        <li><strong>Location</strong>: Aula, Kollegiengebäude 1, Platz der Universität 3, 79098 Freiburg</li>
        <li><strong>Organizer</strong>: BrainLinks-BrainTools, Universität Freiburg</li>
        <li><strong>Program &amp; registration</strong>: <a href="https://uni-freiburg.de/brainlinks-braintools/international-symposium-on-sensorimotor-transformation/">uni-freiburg.de/brainlinks-braintools/international-symposium-on-sensorimotor-transformation</a></li>
      </ul>

      <p>Speakers include Mario Prsa (University of Fribourg), Giacomo Valle (Chalmers University), Silvia Arber (University of Basel), Gordon Cheng (TUM), and Andrew Straw (University of Freiburg), covering topics from bidirectional neuroprosthetics and neural circuits of movement control to robotic sensorimotor learning.</p>

      <p><code class="language-plaintext highlighter-rouge">#NeuroAI</code> <code class="language-plaintext highlighter-rouge">#NIKI</code> <code class="language-plaintext highlighter-rouge">#CompSeq</code> <code class="language-plaintext highlighter-rouge">#Freiburg</code> <code class="language-plaintext highlighter-rouge">#Sensorimotor</code></p>

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      <p>Das <strong>CompSeq</strong>-Team veranstaltet gemeinsam mit <strong>BrainLinks-BrainTools</strong> der Universität Freiburg am <strong>15./16. Oktober 2026</strong> ein <strong>internationales Symposium zu sensomotorischer Transformation</strong> in Freiburg, bei dem Neurowissenschaft und KI zusammenkommen.</p>

      <p>Das Symposium widmet sich sensomotorischen Transformationen und der Rolle interner Weltmodelle bei Wahrnehmung, Handlung und Anpassung. Es bringt Forschende aus Neurowissenschaft, Neurotechnologie, Künstlicher Intelligenz und Robotik zusammen, um zu diskutieren, wie biologische und künstliche Systeme sensorische Informationen integrieren, vorausschauende Umweltmodelle entwickeln und diese in zielgerichtetes Handeln übersetzen.</p>

      <ul>
        <li><strong>Datum</strong>: 15./16. Oktober 2026</li>
        <li><strong>Ort</strong>: Aula, Kollegiengebäude 1, Platz der Universität 3, 79098 Freiburg</li>
        <li><strong>Veranstalter</strong>: BrainLinks-BrainTools, Universität Freiburg</li>
        <li><strong>Programm &amp; Anmeldung</strong>: <a href="https://uni-freiburg.de/brainlinks-braintools/international-symposium-on-sensorimotor-transformation/">uni-freiburg.de/brainlinks-braintools/international-symposium-on-sensorimotor-transformation</a></li>
      </ul>

      <p>Zu den Sprecher:innen zählen Mario Prsa (Universität Freiburg/Fribourg), Giacomo Valle (Chalmers University), Silvia Arber (Universität Basel), Gordon Cheng (TUM) und Andrew Straw (Universität Freiburg) mit Themen von bidirektionalen Neuroprothesen und neuronalen Schaltkreisen der Bewegungssteuerung bis hin zu robotischem sensomotorischem Lernen.</p>

      <p><code class="language-plaintext highlighter-rouge">#NeuroAI</code> <code class="language-plaintext highlighter-rouge">#NIKI</code> <code class="language-plaintext highlighter-rouge">#CompSeq</code> <code class="language-plaintext highlighter-rouge">#Freiburg</code> <code class="language-plaintext highlighter-rouge">#Sensorimotor</code></p>

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</div>]]></content><author><name></name></author><category term="news" /><category term="event" /><category term="symposium" /><category term="CompSeq" /><category term="Freiburg" /><summary type="html"><![CDATA[CompSeq and BrainLinks-BrainTools host an International Symposium on Sensorimotor Transformation in Freiburg on October 15–16, 2026, bringing neuroscience, AI, and robotics together.]]></summary></entry><entry><title type="html">NI:KI Kick Off 2026 in Frankfurt</title><link href="https://ni-ki.org/news/kick-off-frankfurt/" rel="alternate" type="text/html" title="NI:KI Kick Off 2026 in Frankfurt" /><published>2026-09-30T00:00:00+00:00</published><updated>2026-09-30T00:00:00+00:00</updated><id>https://ni-ki.org/news/kick-off-frankfurt</id><content type="html" xml:base="https://ni-ki.org/news/kick-off-frankfurt/"><![CDATA[<div class="lang-en">
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      <p>The NI:KI Initiative kicked off in Frankfurt this week, bringing together neuroscientists, AI researchers, and cognitive scientists from across Germany.</p>

      <p>What stood out was the open and constructive exchange between the research community and representatives from the Bundesministerium für Forschung, Technologie und Raumfahrt and the Deutsches Zentrum für Luft- und Raumfahrt e.V. — a conversation about what NeuroAI could achieve, and what it would need to get there.</p>

      <p>Germany has a strong foundation to build on, not least through the Bernstein Network Computational Neuroscience. The discussions made clear where NI:KI and NeuroAI want to go: genuine two-way exchange between neuroscience and AI, shared infrastructure, and researchers trained to work across both disciplines.</p>

      <p>It was an energetic start 🎉
We are looking forward to seeing what this network grows into 💫</p>

      <p><code class="language-plaintext highlighter-rouge">#NeuroAI</code> <code class="language-plaintext highlighter-rouge">#NIKI</code> <code class="language-plaintext highlighter-rouge">#Neuroscience</code> <code class="language-plaintext highlighter-rouge">#MachineLearning</code> <code class="language-plaintext highlighter-rouge">#Germany</code> <code class="language-plaintext highlighter-rouge">#BernsteinNetwork</code> <code class="language-plaintext highlighter-rouge">#DLR</code> <code class="language-plaintext highlighter-rouge">#BMFTR</code></p>

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      <p>Die NI:KI-Initiative ist diese Woche in Frankfurt gestartet und hat Neurowissenschaftler:innen, KI-Forscher:innen und Kognitionswissenschaftler:innen aus ganz Deutschland zusammengebracht.</p>

      <p>Besonders bemerkenswert war der offene und konstruktive Austausch zwischen der Forschungsgemeinschaft und Vertreter:innen des Bundesministeriums für Forschung, Technologie und Raumfahrt sowie des Deutschen Zentrums für Luft- und Raumfahrt e.V. – ein Gespräch darüber, was NeuroAI erreichen könnte und was dafür nötig wäre.</p>

      <p>Deutschland verfügt über eine starke Grundlage, nicht zuletzt durch das Bernstein Network Computational Neuroscience. Die Diskussionen haben deutlich gemacht, wohin NI:KI und NeuroAI wollen: einen echten wechselseitigen Austausch zwischen Neurowissenschaft und KI, gemeinsame Infrastruktur und Forschende, die interdisziplinär in beiden Disziplinen ausgebildet sind.</p>

      <p>Es war ein energiegeladener Start 🎉
Wir freuen uns darauf zu sehen, wie sich dieses Netzwerk weiterentwickelt 💫</p>

      <p><code class="language-plaintext highlighter-rouge">#NeuroAI</code> <code class="language-plaintext highlighter-rouge">#NIKI</code> <code class="language-plaintext highlighter-rouge">#Neuroscience</code> <code class="language-plaintext highlighter-rouge">#MachineLearning</code> <code class="language-plaintext highlighter-rouge">#Germany</code> <code class="language-plaintext highlighter-rouge">#BernsteinNetwork</code> <code class="language-plaintext highlighter-rouge">#DLR</code> <code class="language-plaintext highlighter-rouge">#BMFTR</code></p>

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      <img src="/assets/images/Kick_off/audiance-menti.JPG" alt="Audience in the lecture hall responding to a live poll" />
    
  
  
</figure>]]></content><author><name></name></author><category term="news" /><category term="kick off" /><category term="event" /><category term="community" /><summary type="html"><![CDATA[The NI:KI Initiative kicked off in Frankfurt this week, bringing together neuroscientists, AI researchers, and cognitive scientists from across Germany.]]></summary></entry><entry><title type="html">Neuro-KI – Interview</title><link href="https://ni-ki.org/news/bmftr-interview-sinz/" rel="alternate" type="text/html" title="Neuro-KI – Interview" /><published>2026-09-25T00:00:00+00:00</published><updated>2026-09-25T00:00:00+00:00</updated><id>https://ni-ki.org/news/bmftr-interview-sinz</id><content type="html" xml:base="https://ni-ki.org/news/bmftr-interview-sinz/"><![CDATA[<div class="lang-en">
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      <p>Since Friday, September 25, 2026 — just in time for the start of our NI:KI Kick-Off meeting — an interview with <strong>Prof. Dr. Fabian Sinz</strong> has been online. It is featured prominently as <strong>“Im Fokus: Neuro-KI”</strong> on the <a href="https://www.gesundheitsforschung-bmftr.de/index.php">homepage of Gesundheitsforschung BMFTR</a>, and under <a href="https://www.gesundheitsforschung-bmftr.de/de/was-kann-ki-vom-gehirn-lernen-20053.php"><strong>“Was kann KI vom Gehirn lernen?”</strong></a> (What can AI learn from the brain?).</p>

      <p>Fabian Sinz, Professor for Machine Learning at the Institute for Computer Science at the University of Göttingen and Coordinator of the NI:KI network activities, talks about what AI and neuroscience can learn from one another — and why, paradoxically, one of the most valuable lessons AI can take from the brain is how to best constrain it.</p>

      <p><code class="language-plaintext highlighter-rouge">#NeuroAI</code> <code class="language-plaintext highlighter-rouge">#NIKI</code> <code class="language-plaintext highlighter-rouge">#BMFTR</code> <code class="language-plaintext highlighter-rouge">#Interview</code></p>

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      <p>Seit Freitag, den 25.09.2026 – und damit rechtzeitig zum Start unseres NI:KI Kick-Off-Meetings – ist ein Interview mit <strong>Prof. Dr. Fabian Sinz</strong> online. Es findet sich prominent als <strong>„Im Fokus: Neuro-KI“</strong> auf der <a href="https://www.gesundheitsforschung-bmftr.de/de/">Startseite der Gesundheitsforschung BMFTR</a> sowie unter <a href="https://www.gesundheitsforschung-bmftr.de/de/was-kann-ki-vom-gehirn-lernen-20053.php"><strong>„Was kann KI vom Gehirn lernen?“</strong></a>.</p>

      <p>Fabian Sinz, Professor für Machine Learning am Institut für Informatik der Universität Göttingen und Koordinator der NI:KI-Vernetzungsaktivitäten, spricht darüber, was KI und Neurowissenschaft voneinander lernen können – und warum eine der wertvollsten Lehren, die die KI paradoxerweise vom Gehirn ziehen kann, darin besteht, wie man sie am besten einschränkt.</p>

      <p><code class="language-plaintext highlighter-rouge">#NeuroAI</code> <code class="language-plaintext highlighter-rouge">#NIKI</code> <code class="language-plaintext highlighter-rouge">#BMFTR</code> <code class="language-plaintext highlighter-rouge">#Interview</code></p>

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</div>]]></content><author><name></name></author><category term="news" /><category term="interview" /><category term="BMFTR" /><category term="media" /><summary type="html"><![CDATA[An interview with Prof. Dr. Fabian Sinz is now online, featured prominently as 'Im Fokus: Neuro-KI' on the BMFTR health research homepage.]]></summary></entry><entry><title type="html">Save the Date</title><link href="https://ni-ki.org/news/xr-ai-health-talk/" rel="alternate" type="text/html" title="Save the Date" /><published>2026-08-24T00:00:00+00:00</published><updated>2026-08-24T00:00:00+00:00</updated><id>https://ni-ki.org/news/xr-ai-health-talk</id><content type="html" xml:base="https://ni-ki.org/news/xr-ai-health-talk/"><![CDATA[<div class="lang-en">
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      <h2 id="invitation"><strong>Invitation</strong></h2>

      <p>As part of the <strong>NI:KI Kick Off 2026</strong>, we are happy to invite you to a presentation and discussion:</p>

      <p><strong>Prof. Dr. Frank Steinicke</strong>
University of Hamburg, Human-Computer Interaction</p>

      <ul>
        <li><strong>Date</strong>: September 28, 2026, 12:15–13:00</li>
        <li><strong>Location</strong>: PEG-Gebäude, Goethe-Universität Frankfurt am Main, Seminarraum PEG 1.G 191</li>
        <li><strong>Zoom</strong>: <a href="https://uni-goettingen.zoom-x.de/j/63170261936">uni-goettingen.zoom-x.de/j/63170261936</a></li>
        <li><strong>Introduction and Moderation</strong>: Prof. Dr. Fabian Sinz, Institute for Informatik, Georg-August-Universität Göttingen</li>
      </ul>

      <p>Frank Steinicke is Professor for Human-Computer Interaction at the Department of Informatics, Universität Hamburg. Before his current position, he was Professor for Computer Science in Media at the Institute of Computer Science, University of Würzburg, and led the Immersive Media Group from 2011 to 2014. He studied mathematics with a minor in computer science at the University of Münster, where he also received his doctorate and habilitation in computer science. His research focuses on connecting natural and artificial intelligence as well as realities to improve interactions and experiences in computer-mediated environments.</p>

      <p>For his work, he received the 2023 IEEE VGTC Virtual Reality Technical Achievement Award and was inducted into the renowned IEEE VR Academy. In 2024, he was appointed to the Academy of Sciences and Humanities in Hamburg, and in 2025 he was inducted into the AWE XR Hall of Fame.</p>

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      <h2 id="einladung"><strong>Einladung</strong></h2>

      <p>Im Rahmen des <strong>NI:KI Kick Off 2026</strong> laden wir herzlich zu einem Vortrag mit anschließender Diskussion ein:</p>

      <p><strong>Prof. Dr. Frank Steinicke</strong>
Universität Hamburg, Human-Computer Interaction</p>

      <ul>
        <li><strong>Datum</strong>: 28. September 2026, 12:15–13:00 Uhr</li>
        <li><strong>Ort</strong>: PEG-Gebäude, Goethe-Universität Frankfurt am Main, Seminarraum PEG 1.G 191</li>
        <li><strong>Zoom</strong>: <a href="https://uni-goettingen.zoom-x.de/j/63170261936">uni-goettingen.zoom-x.de/j/63170261936</a></li>
        <li><strong>Einführung und Moderation</strong>: Prof. Dr. Fabian Sinz, Institut für Informatik, Georg-August-Universität Göttingen</li>
      </ul>

      <p>Frank Steinicke ist Professor für Human-Computer Interaction am Fachbereich Informatik der Universität Hamburg. Vor seiner jetzigen Position war er Professor für Informatik in Medien am Institut für Informatik der Universität Würzburg und von 2011 bis 2014 Leiter der Immersive Media Group. Er hat Mathematik mit Nebenfach Informatik an der Universität Münster studiert und dort seine Promotion und die Venia Legendi in Informatik erhalten. Seine Forschungsschwerpunkte liegen darauf, natürliche und künstliche Intelligenz sowie Realitäten miteinander zu verbinden, um Interaktionen und Erfahrungen in computergestützten Umgebungen zu verbessern.</p>

      <p>Für seine Arbeiten erhielt er 2023 den IEEE VGTC Virtual Reality Technical Achievement Award und wurde in die renommierte IEEE VR Academy aufgenommen. 2024 wurde er in die Akademie der Wissenschaften und der Künste in Hamburg berufen; zudem wurde er 2025 in die AWE XR Hall of Fame aufgenommen.</p>

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</div>]]></content><author><name></name></author><category term="news" /><category term="event" /><category term="kick off" /><category term="talk" /><summary type="html"><![CDATA[Prof. Dr. Frank Steinicke will give a talk on XR and AI for future health on September 28, 2026, as part of the NI:KI Kick Off 2026.]]></summary></entry><entry><title type="html">NI:KI Now on LinkedIn</title><link href="https://ni-ki.org/news/linkedin-launch/" rel="alternate" type="text/html" title="NI:KI Now on LinkedIn" /><published>2026-05-27T00:00:00+00:00</published><updated>2026-05-27T00:00:00+00:00</updated><id>https://ni-ki.org/news/linkedin-launch</id><content type="html" xml:base="https://ni-ki.org/news/linkedin-launch/"><![CDATA[<div class="lang-en">
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      <p>Follow us on <a href="https://www.linkedin.com/company/ni-ki-initative">LinkedIn</a> to stay up to date with:</p>

      <ul>
        <li>News and updates from our 11 pilot projects</li>
        <li>Upcoming workshops, seminars, and events</li>
        <li>Research highlights at the intersection of neuroscience and AI</li>
        <li>Job and collaboration opportunities within the network</li>
      </ul>

      <p>We look forward to connecting with the scientific community and everyone interested in neurobiologically-inspired AI.</p>

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      <p>Wir freuen uns, bekanntzugeben, dass die NI:KI-Initiative jetzt auf <a href="https://www.linkedin.com/company/ni-ki-initative">LinkedIn</a> vertreten ist! Folgen Sie uns für:</p>

      <ul>
        <li>Neuigkeiten und Updates aus unseren 11 Pilotprojekten</li>
        <li>Kommende Workshops, Seminare und Veranstaltungen</li>
        <li>Forschungshighlights an der Schnittstelle von Neurowissenschaft und KI</li>
        <li>Stellen- und Kooperationsmöglichkeiten im Netzwerk</li>
      </ul>

      <p>Wir freuen uns auf den Austausch mit der wissenschaftlichen Gemeinschaft und allen Interessierten an neurobiologisch inspirierter KI.</p>

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</div>]]></content><author><name></name></author><category term="news" /><category term="linkedin" /><category term="social media" /><summary type="html"><![CDATA[We are happy to announce that the NI:KI initiative is now on LinkedIn!]]></summary></entry><entry><title type="html">NI:KI Initiative Officially Launches</title><link href="https://ni-ki.org/news/program-launch/" rel="alternate" type="text/html" title="NI:KI Initiative Officially Launches" /><published>2025-12-01T00:00:00+00:00</published><updated>2025-12-01T00:00:00+00:00</updated><id>https://ni-ki.org/news/program-launch</id><content type="html" xml:base="https://ni-ki.org/news/program-launch/"><![CDATA[<p>We are excited to announce the official launch of the NeuroAI Germany initiative!</p>

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      <p>Funded by the German Federal Ministry of Research, Technology and Space (BMFTR), this program brings together <strong>11 pilot projects</strong> working at the intersection of neuroscience and artificial intelligence.</p>

      <h2 id="program-overview">Program Overview</h2>

      <ul>
        <li><strong>Total funding</strong>: approximately €13.9 million</li>
        <li><strong>Duration</strong>: 2025–2028</li>
        <li><strong>Projects</strong>: 4 individual projects + 7 consortia</li>
      </ul>

      <h2 id="goals">Goals</h2>

      <p>The initiative aims to:</p>

      <ul>
        <li>Leverage neuroscience insights for more efficient AI</li>
        <li>Develop data and energy-efficient learning algorithms</li>
        <li>Create more robust and interpretable AI systems</li>
      </ul>

      <p>Stay tuned for upcoming workshops, seminars, and collaboration opportunities!</p>

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      <p>Gefördert vom Bundesministerium für Forschung, Technologie und Raumfahrt (BMFTR) bringt dieses Programm <strong>11 Pilotprojekte</strong> zusammen, die an der Schnittstelle von Neurowissenschaft und Künstlicher Intelligenz arbeiten.</p>

      <h2 id="programmberblick">Programmüberblick</h2>

      <ul>
        <li><strong>Gesamtförderung</strong>: ca. 13,9 Mio. €</li>
        <li><strong>Laufzeit</strong>: 2025–2028</li>
        <li><strong>Projekte</strong>: 4 Einzelprojekte + 7 Verbundprojekte</li>
      </ul>

      <h2 id="ziele">Ziele</h2>

      <p>Die Initiative verfolgt folgende Ziele:</p>

      <ul>
        <li>Neurowissenschaftliche Erkenntnisse für effizientere KI nutzbar machen</li>
        <li>Daten- und energieeffiziente Lernalgorithmen entwickeln</li>
        <li>Robustere und interpretierbarere KI-Systeme schaffen</li>
      </ul>

      <p>Freuen Sie sich auf kommende Workshops, Seminare und Kooperationsmöglichkeiten!</p>

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</div>]]></content><author><name></name></author><category term="news" /><category term="launch" /><category term="bmftr" /><summary type="html"><![CDATA[The BMFTR-funded NeuroAI (NI:KI) initiative officially begins with 11 pilot projects.]]></summary></entry></feed>