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IIS Webadmin
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 ===== Working With Us ===== ===== Working With Us =====
   * Check our thesis topics for [[theses/​start|Bachelor and Master students]].   * Check our thesis topics for [[theses/​start|Bachelor and Master students]].
-  * [[https://​ellis.eu/​|ELLIS]] PhD Program: [[https://​ellis.eu/​de/​news/​ellis-phd-program-call-for-applications|Call for Applications]]+ 
 +<​html><​!--We currently have [[jobs|one open PhD position]].--></​html>​
  
 <​html><​!-- <​html><​!--
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- +{{ ::iis_retreat_2024.jpg?direct&​900 ​|}}\\ 
-{{::dsc_0052.jpg?640|Group Picture}}\\ +<​html>​ 
-Group picture taken at our retreat ​in Obergurgl +<div style="​text-align:​ center;">​ 
 +  <p>Group picture taken at our 2024 retreat ​at Meissner Haus.</​p>​ 
 +</​div>​ 
 +</​html>​
  
 ===== News ===== ===== News =====
  
-<​HTML><​table><​tr valign="​top"><​td>​2020-06-22</​td><​td>​Justus Piater gives an invited ​talk <i>Conditional Neural Movement Primitives</i> at <a href="http://www.gdr-isis.fr/index.php?​page=reunion&​amp;​idreunion=424">GdR +<​HTML><​table><​tr valign="​top"><​td>​2025-07-15</​td><​td>​Justus Piater gives an invited ​keynote ​<i>Making robots learn to perceive and act with 
-    ​ISIS Réunion Apprentissage et Robotique</​a>, ​online. <span class="​actions"><​a href="​javascript:​void(0)"​ onclick="​showHide('​newsitem0',​ '​Abstract'​)">​[Abstract]</​a></​span><​blockquote id="​newsitem0Abstract"​ style="​display:​none">​Conditional Neural Movement Primitives (CNMP) constitute +    understanding</i> at <a href="https://www.uibk.ac.at/​en/​congress/​multibody2025/​">The 
-    ​a novel framework for robot programming ​by demonstration based on +    ​12th ECCOMAS Thematic Conference on Multibody Dynamics</​a>, ​Innsbruck. <span class="​actions"><​a href="​javascript:​void(0)"​ onclick="​showHide('​newsitem0',​ '​Abstract'​)">​[Abstract]</​a></​span><​blockquote id="​newsitem0Abstract"​ style="​display:​none">​The flexibility and robustness of current robots is 
-    Conditional Neural Processes (CNP) Like Bayesian methods such as +    ​limited ​by their lack of understanding of their environmentFor 
-    ​Gaussian Processes (GP)CNP learn how target distributions depend +    ​this reasonmost robots operate in controlled environments. 
-    ​on data, and can be conditioned on specific data points to infer +    ​Machine learning ​can circumvent modeling problems but introduces 
-    new target distributions at test time ​Unlike GP that are +    new problems of generalizing from examplesHow can robots acquire 
-    ​expensive to train and scale poorly to high dimensionsCNP are +    ​understanding (of structurefunction, causality, etc.) that 
-    neural networks and are trained by gradient descent CNMP +    ​allows them to generalize from sparse experience? Motivated by 
-    ​leverage CNP to represent motion trajectories that can be +    ​shortcomings of current machine-learning methodsI will argue 
-    ​conditionedat test time, on task paramters such as goal +    ​that &​quot;​understanding&​quot;​ is a meaningful notion in AI that reaches 
-    ​locations, via points, ​and/or force readings ​Moreover,​ CNMP are +    beyond prediction ​and controlI will discuss examples of our 
-    ​conditioned ​on sensor readings during executionresulting in +    ​recent work on learning visual relational conceptsextrapolation 
-    ​robustreactive behavior. ​ This talk will present an overview ​of +    ​of learned movements beyond the training distributionlearning ​of 
-    ​how CNMP work and how they can be used in various robot +    ​symbolic concepts ​and rules, and structure-driven skill learning 
-    ​applications.</​blockquote></​td></​tr><​tr valign="​top"><​td>​2020-06-03</​td><​td>​Justus Piater ​appears in the media: Wie der Roboter denken lernt.</​td></​tr><​tr valign="​top"><​td>​2020-01-29</​td><​td>​Justus Piater gives an invited talk <i>Digital Science</i> at <a href="​https://​www.graduateacademy.uni-heidelberg.de/karriere/veranstaltungsreihen.html">Vortragsreihe +    ​from sensorimotor experience. Our long-term objective is to 
-    ​„Primers for Predocs – Strategien für eine erfolgreiche +    improve abstraction,​ generalization,​ robustness, and ultimately 
-    Promotion“</​a>, ​Universität Heidelberg<span class="​actions"><​a href="​javascript:​void(0)" onclick="​showHide('​newsitem3',​ '​Abstract'​)">​[Abstract]</​a></​span><​blockquote id="​newsitem3Abstract"​ style="​display:​none">​Massive availability of data and computing power are +    explainability of robot perception and action.</​blockquote></​td></​tr><​tr valign="​top"><​td>​2025-07-11</​td><​td>​Justus Piater ​and Alejandro Agostini give an invited talk <i>Learning Symbols and Abstractions in Robot Planning</i> at <a href="​https://​www.unibz.it/en/events/​abstraction-language-science-engineering">Abstraction:​ 
-    promoting data-driven methods in all areas of science and +    ​Language - Science - Engineering</​a>, ​Bolzano. (International Workshop)</​td></​tr><​tr valign="​top"><​td>​2025-04-25</​td><​td>​Simon Haller-Seeber gives an invited talk <​i>​AI-powered tools for real-time transcription ​and translation ​in actionA self-hosted open-source framework for digital spaces.</​i>​ at <a href="​https://​www.uibk.ac.at/​de/medien/​veranstaltungen/​tagungen/​medien-wissen-bildung-2025/">Medien - Wissen - Bildung 2025: Streif­züge an den Naht­stel­len von Medien, Bil­dung und Phi­lo­so­phie</a>, Universität Innsbruck.</​td></​tr><​tr valign="​top"><​td>​2025-04-10</​td><​td>​Simon Haller-Seeber ​gives an invited ​keynote ​<i>Hands-on Approaches to SoftwareRoboticsand AI: Exploring Experiments and Science in Action</i> at <a href="​https://​iis.uibk.ac.at/​public/​simon/​ECER-2025/">​European Conference on Educational Robotics (ECER 2025)</​a>​HTL Anichstrasse.</​td></​tr><​tr valign="​top"><​td>​2025-04-10</​td><​td>​Simon Haller-Seeber and Christopher Kelter teach a tutorial <i>Was sind Roboter, was macht eine KI? Entwickle deine eigene KI und programmiere unsere Minibots</iat Campustag BG/BRG Sillgasse, Universität Innsbruck.</​td></​tr><​tr valign="​top"><​td>​2025-04-03</​td><​td>​Justus Piater gives an invited ​keynote ​<i>What is AI really?</i> at <a href="https://www.uibk.ac.at/events/​2025/​04/​03/​ai-in-law-and-practice-regional-perspectives-on-european-rules">Cross-Border 
-    technology. ​ I will describe how the University of Innsbruck +    ​Seminar: AI in Law and Practice: Regional Perspectives on European 
-    supports this via its new Digital Science Center, and will give a +    Rules</​a>, ​Universität Innsbruck.</​td></​tr><​tr valign="​top"><​td>​2025-03-06</​td><​td>​Justus Piater teaches a tutorial ​<i>FunktionsweiseMöglichkeiten und Grenzen von KI</i> at Lieber gleich berechtigt als späterHallo KI, hilfst du 
-    flavor of machine learning for data analysis.</​blockquote>​</​td></​tr><​tr valign="​top"><​td>​2020-01-20</​td><​td>​Joanna Chimiak-Opoka, Carina König, ​and Justus Piater appear ​in the media: <a href="​https://​www.uibk.ac.at/​newsroom/ergaenzung-digital-science-erfolgreich-gestartet.html.de">Ergänzung Digital Science erfolgreich gestartet – UIBK Newsroom</​a>​.</​td></​tr><​tr valign="​top"><​td>​2020-01-03</​td><​td>​Justus Piater ​gives an invited ​talk <i>Künstliche Intelligenz:​ GrundlagenErfolge, +    uns bei der Gleichstellung?​!,​ Tiroler Bildungsinstitut Grillhof Vill. <span class="​actions"><​a href="​javascript:​void(0)"​ onclick="​showHide('​newsitem6', '​Abstract'​)">​[Abstract]</​a></​span><​blockquote id="newsitem6Abstract" style="​display:​none">​Künstliche Intelligenz&​quot;​ bezeichnet derzeit Systeme, die 
-    Herausforderungen</i> at 47Tagung des Innsbrucker Kreises von MoraltheologInnen +    ​auf maschinellem Lernen (ML) basierenDieser Workshop führt ​in 
-    und SozialethikerInnenInnsbruck.</​td></​tr><​tr valign="​top"><​td>​2019-12-19</​td><​td>​Justus Piater appears in the media: <a href="​https://​tvthek.orf.at/​profile/​Tirol-heute/​70023/​Tirol-heute/​14035670/​Alexa-Siri-Co-Spione-im-eigenen-Haus/​14610743"​>TV interview by ORF 2 Tirol Heute RedHaus (in German)</a>​.</​td></​tr><​tr valign="​top"><​td>​2019-12-12</​td><​td>​Justus Piater gives an invited ​lecture ​<i>Too Smart to Be Trusted – Do I Even Want to +    ​die Grundlagen des ML einmit besonderem Augenmerk auf neuronale 
-    Understand My Robot?</i> at <a href="http://www.trustrobots.eu/">TrustRobots Lecture series +    ​Netzeder derzeit populärsten ML-TechnologieDarauf aufbauend 
-    ​Trust in Robots</​a>, ​TU Vienna.</​td></​tr><​tr valign="​top"><​td>​2019-12-05</​td><​td>​IIS guest <span style="​font-weight:​bold">​Heiko Neumann</​span>, University of Ulm,  gives an invited colloquium <​i>​Biologically inspired visual-auditory processing – from +    ​vermittelt er ein Grundverständnis für prinzipielle Möglichkeiten 
-    brain-like computation to neuromorphic algorithms</i> at <a href="​https://​www.uibk.ac.at/​informatik/​forschung/​lunchtime-seminar/​index.html.en">​IFI Lunchtime Seminar</​a>​. <span class="​actions"><​a href="​javascript:​void(0)"​ onclick="​showHide('​newsitem8', '​Abstract'​)">​[Abstract]</​a></​span><​blockquote id="newsitem8Abstract" style="​display:​none">​A fundamental task of sensory processing is to detect +    ​und Grenzen von ML und warum es mit derzeitigen Mitteln extrem 
-    ​and integrate feature items to group them into perceptual units +    ​schwierig istDiskriminierung ​in KI-Systemen zu 
-    segregating them from other objects and the background+    ​verhindern.</​blockquote></​td></​tr><​tr valign="​top"><​td>​2025-02-26</​td><​td>​Simon Haller-Seeber and Christopher Kelter teach a tutorial ​<i>​Programmieren eines autonomen Roboters anhand einer selbstentwickelten KI</​i>​ at STAIR-Lab INNALP Workshop für das Gymnasium Ursulinenen Innsbruck, Universität Innsbruck.</​td></​tr><​tr valign="top"><​td>​2025-02-26</td><​td>​Marko Zarić teaches a tutorial <​i>​Einführung in das Programmieren mit Microcontrollern</​i>​ at STAIR-Lab INNALP Workshop für das Gymnasium Ursulinenen InnsbruckUniversität Innsbruck.</​td></​tr><​tr valign="​top"><​td>​2025-01-31</​td><​td>​Justus Piater ​gives an invited ​lecture ​<i>High-Level AI For Autonomous Robots</i> at <a href="​https://​elias-ai.eu/event/ellis-vismac/">ELIAS-ELLIS-VISMAC 
-    framework is discussed which explains how perceptual grouping at +    Winter School 2025</a>, Brunico, Italy. <span class="​actions"><​a href="​javascript:​void(0)"​ onclick="​showHide('​newsitem9',​ '​Abstract'​)">​[Abstract]</​a></​span><​blockquote id="​newsitem9Abstract"​ style="​display:​none">​What barriers will have to be overcome ​to raise the 
-    early as well as higher-level cognitive stages may be implemented +    ​flexibility ​and robustness of autonomous robots to the next level? 
-    ​in cortex. Different grouping mechanisms are implemented which are +    ​I argue that current AI methods are unlikely to get thereno 
-    ​attuned to basic features and feature combinations and mainly +    ​matter how far we scale them upRobots need to be able to 
-    evaluated along the forward sweep of stimulus processing. However+    ​&​quot;​understand&​quot;​ their environment in ways that reach beyond 
-    ​due to limitations of local feature detection mechanisms and +    ​prediction ​and control. I will discuss examples of work (ours and 
-    inherent ambiguitiestop-down feedback is required to deliver +    ​others'​) on learning visual relational concepts, extrapolation of 
-    contextual information helping to disambiguate initial +    learned movements beyond ​the training distribution,​ learning of 
-    measurementsFeedback of contextual information is demonstrated +    ​symbolic concepts ​and rulesand structure-driven skill learning 
-    ​to improve object recognition performance,​ stabilize learning of +    from sensorimotor ​experience.</​blockquote></​td></​tr></​table></​HTML>​
-    ​object categories, and integrate multi-sensory representations. +
- +
-    ​The canonical principles of neural computation define a set of +
-    core operations to implement above-mentioned mechanisms of +
-    perceptual and cognitive inference. These operations can be +
-    mapped, in a simplified form, onto neuromorphic platforms to +
-    emulate brain-like computation. It is demonstrated that an +
-    ​architecture composed of canonical circuit mechanisms can be +
-    mapped onto neuromorphic chip technology facilitating low-energy +
-    non-von Neumann computation.</​blockquote></​td></​tr><​tr valign="​top"><​td>​2019-11-26</​td><​td>​IIS guest <span style="font-weight:​bold">Tamim Asfour</span>, Karlsruhe Institute of Technology,  ​gives an invited ​keynote ​<i>Engineering Humanoids with Motion Intelligence</i> at <a href="​https://​www.uibk.ac.at/informatik/studium/​inday-students/index.html.en">inday students</a>. <span class="​actions"><​a href="​javascript:​void(0)"​ onclick="​showHide('​newsitem9',​ '​Abstract'​)">​[Abstract]</​a></​span><​blockquote id="​newsitem9Abstract"​ style="​display:​none">​Humanoid robotics plays a central role in robotics +
-    research as well as in understanding intelligence. Engineering +
-    humanoid robots that are able to learn from humans and +
-    sensorimotor experience, ​to predict ​the consequences of actions +
-    and exploit ​the interaction with the world to extend their +
-    ​cognitive horizon remains a research grand challenge. Currently+
-    we are experiencing AI systems with superhuman performance in +
-    games, image and speech processingHowever, the generation of +
-    robot behaviors with human-like motion intelligence and +
-    performance has yet to be achieved. In this talk, I will present +
-    ​recent progress towards engineering 24/7 humanoid robots ​that link +
-    ​perception ​and action to generate intelligent behavior. I will +
-    ​show the ARMAR humanoid robots performing complex grasping and +
-    ​manipulation tasks in kitchen ​and industrial environments+
-    ​learning actions ​from human observation and experience ​as well as +
-    reasoning about object-action relations.</​blockquote>​</​td></​tr><​tr valign="​top"><​td>​2019-11-25</​td><​td>​Justus Piater gives an invited talk <​i>​Enabling Robots to Learn Abstract Concepts</​i>​ at <a href="​https://​tricolore.inf.unibz.it/​tricolore2019/​program/">​TriCoLore +
-    – Creativity | Cognition | Computation</​a>,​ Bolzano, Italy.</​td></​tr></​table></​HTML>​+
  
 [[news|Older News]] [[news|Older News]]
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 Austria Austria
  
-**How to find us:** See the [[http://informatik.uibk.ac.at/​how-to-reach-us/​|directions]].+**How to find us:** See the [[https://www.uibk.ac.at/​informatik/kontakt/​anfahrt.html.en|directions]].
  
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