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--- start [2021/04/01 06:25]
IIS Webadmin
+++ start [2024/05/19 06:25] (current)
IIS Webadmin
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 ===== Working With Us =====
+  * We currently have [[jobs|multiple PhD positions]].
   * 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><!--
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-{{::dsc_0052.jpg?640|Group Picture}}\\
+{{ ::iis-2022.jpg?direct&600 |}}\\
-Group picture taken at our retreat in Obergurgl
+Group picture taken at our 2022 retreat in Obergurgl
 ===== News =====
-<HTML><table><tr valign="top"><td>2021-03-24</td><td>Justus Piater gives an invited lecture <i>Machine Learning, Perception, And Abstract Concepts</i> at Invited lecture at Ontario Tech U, Canada, online. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem0', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem0Abstract" style="display:none">With every spectacular achievement of a machine learning
+<HTML><table><tr valign="top"><td>2024-05-28</td><td>Justus Piater gives an invited colloquium <i>Making robots learn to perceive and act with
-    system, the long-elusive AI breakthrough is popularly proclaimed
+    understanding</i> at <a href="https://uni-tuebingen.de/fakultaeten/mathematisch-naturwissenschaftliche-fakultaet/fachbereiche/zentren/cognitive-science-in-tuebingen/colloquia/cognitive-science-colloquium/">Cognitive Science Colloquium</a>, Universität Tübingen. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem0', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem0Abstract" style="display:none">The title of this talk is the motto of my Intelligent
-    to be just around the corner.  Most recent successes have been due
+    and Interactive Systems group at the University of Innsbruck. Our
-    in large part to massive data and computation, in particular using
+    long-term objective is to improve abstraction, generalization,
-    deep artificial neural networks.  But can artificial cognition
+    robustness, and ultimately explainability of robot perception and
-    really be achieved just by further scaling up existing
+    action. Motivated by shortcomings of current machine-learning
-    machine-learning techniques?  I discuss examples of simple,
+    methods, I will argue that &quot;understanding&quot; is a meaningful notion
-    perceptual problems that are easily solved by humans but very
+    in AI that reaches beyond prediction and control. I will discuss
-    difficult for today's machine learning methods.  These problems
+    examples of our recent work on learning visual relational
-    reflect how humans conceptualize their world.  Their mastery is
+    concepts, extrapolation of learned movements beyond the training
-    thus likely to be an essential prerequisite for autonomous robots
+    distribution, learning of symbolic concepts and rules, and
-    to attain higher levels of cognitive abilities.  To get there, a
+    structure-driven skill learning from sensorimotor
-    few core issues can be identified that should drive research in
+    experience.</blockquote></td></tr><tr valign="top"><td>2024-04-25</td><td>Justus Piater gives an invited keynote <i>Generative KI: Möglichkeiten und Grenzen</i> at <a href="https://efuture-day.tsn.at/programm">eFuture-Day
-    cognitive robotics.</blockquote></td></tr><tr valign="top"><td>2021-01-28</td><td>Matteo Saveriano gives an invited talk <i>Making robots to learn from human observation?</i> at <a href="https://www.bmeia.gv.at/en/austrian-embassy-ottawa/news/events/detail/article/showcasing-young-austrian-scholars-and-scientists-an-original-seven-part-virtual-lectures-ser/">Showcasing Young Austrian Scholars and Scientists, Austrian cultural forum, Ottawa</a>, online.</td></tr><tr valign="top"><td>2021-01-14</td><td>Matteo Saveriano gives an invited talk <i>Hierarchical action decomposition and motion learning for the execution of manipulation tasks</i> at <a href="http://www.gmar.at/aktuell/">Hello Tyrol calling! Robotics Talk online, GMAR, Innsbruck</a>, online.</td></tr><tr valign="top"><td>2020-11-19</td><td>Justus Piater gives an invited talk <i>Machine Learning in Robotics</i> at <a href="https://baiome.org/">bAIome PI Talk, Center for
+    Sek. 1</a>, Pädagogische Hochschule Tirol. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem1', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem1Abstract" style="display:none">Generative KI-Systeme wie ChatGPT und Midjourney haben
-    Biomedical AI, University Medical Center Hamburg-Eppendorf</a>, online. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem4', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem4Abstract" style="display:none">Machine Learning increasingly equips robots with
+    im Laufe des letzten Jahres begonnen, unsere Welt zu verändern.
-    learning capabilities and flexibility.  This will enable them to
+    Wie können wir sie produktiv nutzen? Wie können wir mit den
-    act purposefully in unstructured environments and to react to
+    Herausforderungen umgehen, die durch sie entstehen? Ich werde
-    unforeseen events.  People can teach them intuitively to perform
+    diese Fragen von der technischen Seite her angehen und einen
-    tasks instead of having to program them in painstaking ways.
+    Eindruck davon vermitteln, wie diese Systeme funktionieren. Daraus
-    Robots can learn from experience and can improve their behavior
+    ergeben sich ein realistisches Verständnis für ihre Möglichkeiten
-    over time.  In this talk I will give an overview of methods,
+    und Grenzen sowie einige grundlegende Empfehlungen für den Umgang
-    opportunities, and challenges of machine learning in
+    mit ihnen im Schulbetrieb.</blockquote></td></tr><tr valign="top"><td>2024-04-24</td><td>Justus Piater gives an invited keynote <i>Generative KI: Möglichkeiten und Grenzen</i> at <a href="https://efuture-day-sek2.tsn.at/programm">eFuture-Day
-    robotics.</blockquote></td></tr><tr valign="top"><td>2020-11-20</td><td>Simon Haller-Seeber and Patrick Lamprecht present a show <i>Explainable AI: A sneak peek into the Black-Box</i> at <a href="https://youtube.com/watch?v=4NVfPwdLnCg&amp;t=17m43s">Science Slam</a>, online.</td></tr><tr valign="top"><td>2020-09-30</td><td>Erwan Renaudo contributes a talk <i>ROSSINI: RobOt kidS deSIgn thiNkIng</i> at <a href="https://www.springer.com/gp/book/9783030674106">Robotics in
+    Sek. 2</a>, Pädagogische Hochschule Tirol. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem2', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem2Abstract" style="display:none">Generative KI-Systeme wie ChatGPT und Midjourney haben
-    Education 2020</a>, online.</td></tr><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
+    im Laufe des letzten Jahres begonnen, unsere Welt zu verändern.
-    ISIS Réunion Apprentissage et Robotique</a>, online. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem7', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem7Abstract" style="display:none">Conditional Neural Movement Primitives (CNMP) constitute
+    Wie können wir sie produktiv nutzen? Wie können wir mit den
-    a novel framework for robot programming by demonstration based on
+    Herausforderungen umgehen, die durch sie entstehen? Ich werde
-    Conditional Neural Processes (CNP).  Like Bayesian methods such as
+    diese Fragen von der technischen Seite her angehen und einen
-    Gaussian Processes (GP), CNP learn how target distributions depend
+    Eindruck davon vermitteln, wie diese Systeme funktionieren. Daraus
-    on data, and can be conditioned on specific data points to infer
+    ergeben sich ein realistisches Verständnis für ihre Möglichkeiten
-    new target distributions at test time.  Unlike GP that are
+    und Grenzen sowie einige grundlegende Empfehlungen für den Umgang
-    expensive to train and scale poorly to high dimensions, CNP are
+    mit ihnen im Schulbetrieb.</blockquote></td></tr><tr valign="top"><td>2024-04-22</td><td>Justus Piater gives an invited talk <i>Möglichkeiten der KI bei klangrelevanten Arbeitsschritten
-    neural networks and are trained by gradient descent.  CNMP
+    im Fertigungsprozess</i> at Digitalwissenschaftlicher Bildungsnachmittag, Musikinstrumentenbauschule Mittenwald.</td></tr><tr valign="top"><td>2024-03-26</td><td>Justus Piater co-organizes the <a href="https://airov.at/">AIRoV – The First Austrian
-    leverage CNP to represent motion trajectories that can be
+    Symposium on AI, Robotics, and Vision 26.–27.3.2024</a>.</td></tr><tr valign="top"><td>2024-03-14</td><td>Justus Piater gives an invited talk <i>The IMAGINE Project: Robot Intuition and Understanding for
-    conditioned, at test time, on task paramters such as goal
+    Disassembly</i> at <a href="https://reconcycle.eu/erf2024/">Adaptive Robotics for
-    locations, via points, and/or force readings.  Moreover, CNMP are
+    Recycling of Electronic Devices</a>, Rimini, Italy. (Workshop at the European Robotics Forum)</td></tr><tr valign="top"><td>2024-03-14</td><td>Justus Piater co-organizes the <a href="https://reconcycle.eu/erf2024/">Adaptive Robotics for
-    conditioned on sensor readings during execution, resulting in
+    Recycling of Electronic Devices</a>.</td></tr><tr valign="top"><td>2024-01-16</td><td>Samuele Tosatto gives an invited talk <i>Beyond Monte Carlo Off-Policy Policy Gradient</i> at <a href="https://www.wim.uni-mannheim.de/doering/conferences/rl-2024">Mini-Workshop on Reinforcement Learning</a>, University of Mannheim.</td></tr><tr valign="top"><td>2023-12-01</td><td>Justus Piater is a panelist at a public discussion on <a href="https://www.mediengipfel.at/at/archiv/veranstaltungen/2023.php">15.
-    robust, reactive behavior.  This talk will present an overview of
+    Europäischer Mediengipfel</a>, Lech/Arlberg. (Wissenschaftsforum zum Thema „Künstliche Intelligenz – Fluch oder Segen für Politik, Medien, Wirtschaft und Wissenschaft?)</td></tr><tr valign="top"><td>2023-11-24</td><td>Justus Piater gives an invited talk <i>Demystifying ChatGPT</i> at <a href="https://www.uibk.ac.at/de/betriebswirtschaft/dlc/">UIBK
-    how CNMP work and how they can be used in various robot
+    Digital Leadership Club</a>, Innsbruck.</td></tr></table></HTML>
-    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
-    „Primers for Predocs – Strategien für eine erfolgreiche
-    Promotion“</a>, Universität Heidelberg. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem10', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem10Abstract" style="display:none">Massive availability of data and computing power are
-    promoting data-driven methods in all areas of science and
-    technology.  I will describe how the University of Innsbruck
-    supports this via its new Digital Science Center, and will give a
-    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></table></HTML>
 [[news|Older News]]
@@ Line 85: / Line 78: @@
 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]].
 **Legal Notice:** See the [[:impressum|Impress and Privacy Notice]].

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