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--- start [2020/11/26 06:25]
IIS Webadmin
+++ start [2024/02/14 08:41]
Alejandro Agostini [Working With Us]
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 ===== Working With Us =====
   * 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>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
+<HTML><table><tr valign="top"><td>2024-03-14</td><td>Justus Piater gives an invited talk <i>The IMAGINE Project: Robot Intuition and Understanding for
-    Biomedical AI, University Medical Center Hamburg-Eppendorf</a>, online. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem1', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem1Abstract" style="display:none">Machine Learning increasingly equips robots with
+    Disassembly</i> at <a href="https://reconcycle.eu/erf2024/">Adaptive Robotics for
-    learning capabilities and flexibility.  This will enable them to
+    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
-    act purposefully in unstructured environments and to react to
+    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.
-    unforeseen events.  People can teach them intuitively to perform
+    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
-    tasks instead of having to program them in painstaking ways.
+    Digital Leadership Club</a>, Innsbruck.</td></tr><tr valign="top"><td>2023-11-13</td><td>Justus Piater gives an invited talk <i>ChatGPT: Wie es (nicht) funktioniert</i> at <a href="https://www.uibk.ac.at/de/disc/events/discussion-piater-rath/">Wie
-    Robots can learn from experience and can improve their behavior
+    „denkt“ ChatGPT? Begegnungen mit einer Künstlichen
-    over time.  In this talk I will give an overview of methods,
+    Intelligenz</a>, Stadtbibliothek Innsbruck. (Öffentliche Veranstaltung im Rahmen der Vortragsreihe DiSCussion des Digital Science Centers, organisiert gemeinsam mit dem Vizerektorat für Digitalisierung und Nachhaltigkeit)</td></tr><tr valign="top"><td>2023-11-11</td><td>Justus Piater gives an invited talk <i>Wie kann die Medizin von der Künstlichen Intelligenz
-    opportunities, and challenges of machine learning in
+    profitieren?</i> at <a href="https://www.dfpkalender.at/public-dfpkalender/viewEvent.jsf?id=784672">Winterfortbildung der Universitätsklinik Gynäkologie und Geburtshilfe Innsbruck</a>, Wattens.</td></tr><tr valign="top"><td>2023-10-24</td><td>Justus Piater gives an invited lecture <i>Ramping Up Robot Intelligence</i> at <a href="https://summer2023.reconcycle.eu/">ReconCycle Summer
-    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>2020-06-22</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
+    School 2023</a>, Cala Ratjada, Mallorca, Spain.</td></tr><tr valign="top"><td>2023-09-06</td><td>Justus Piater gives an invited lecture <i>High-Level AI For Service Robotics</i> at <a href="https://www.linkedin.com/posts/gmarobotics_gmar-summer-school-fhtw-activity-7076785981302939648-mdTV/">GMAR Robotics Summer School 2023</a>, FH Technikum Wien.</td></tr><tr valign="top"><td>2023-08-15</td><td>Samuele Tosatto contributes a talk <i>A Continuous-Time Option Framework</i> at <a href="https://www.ias.informatik.tu-darmstadt.de/Workshops/IWIALS2023">International Workshop of Intelligent Autonomous Learning Systems 2023</a>, Hirschegg, Kleinwalsertal, Austria. (Research talk about arXiv:2212.04407)</td></tr></table></HTML>
-    ISIS Réunion Apprentissage et Robotique</a>, online. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem3', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem3Abstract" style="display:none">Conditional Neural Movement Primitives (CNMP) constitute
-    a novel framework for robot programming by demonstration based on
-    Conditional Neural Processes (CNP).  Like Bayesian methods such as
-    Gaussian Processes (GP), CNP learn how target distributions depend
-    on data, and can be conditioned on specific data points to infer
-    new target distributions at test time.  Unlike GP that are
-    expensive to train and scale poorly to high dimensions, CNP are
-    neural networks and are trained by gradient descent.  CNMP
-    leverage CNP to represent motion trajectories that can be
-    conditioned, at test time, on task paramters such as goal
-    locations, via points, and/or force readings.  Moreover, CNMP are
-    conditioned on sensor readings during execution, resulting in
-    robust, reactive behavior.  This talk will present an overview of
-    how CNMP work and how they can be used in various robot
-    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('newsitem6', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem6Abstract" 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><tr valign="top"><td>2020-01-03</td><td>Justus Piater gives an invited talk <i>Künstliche Intelligenz: Grundlagen, Erfolge,
-    Herausforderungen</i> at 47. Tagung des Innsbrucker Kreises von MoraltheologInnen
-    und SozialethikerInnen, Innsbruck.</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
-    Understand My Robot?</i> at <a href="http://www.trustrobots.eu/">TrustRobots Lecture series
-    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
-    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('newsitem11', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem11Abstract" style="display:none">A fundamental task of sensory processing is to detect
-    and integrate feature items to group them into perceptual units
-    segregating them from other objects and the background. A
-    framework is discussed which explains how perceptual grouping at
-    early as well as higher-level cognitive stages may be implemented
-    in cortex. Different grouping mechanisms are implemented which are
-    attuned to basic features and feature combinations and mainly
-    evaluated along the forward sweep of stimulus processing. However,
-    due to limitations of local feature detection mechanisms and
-    inherent ambiguities, top-down feedback is required to deliver
-    contextual information helping to disambiguate initial
-    measurements. Feedback of contextual information is demonstrated
-    to improve object recognition performance, stabilize learning of
-    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></table></HTML>
 [[news|Older News]]
@@ Line 98: / Line 49: @@
 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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