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--- start [2019/12/14 06:25]
IIS Webadmin
+++ start [2022/04/30 14:38]
Justus Piater
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 ===== Working With Us =====
+  * We are hiring [[jobs|two doctoral students]] in machine learning for computer vision or robotics.
   * Check our thesis topics for [[theses/start|Bachelor and Master students]].
+ <html><!--
+ * [[https://ellis.eu/|ELLIS]] PhD Program: [[https://ellis.eu/news/ellis-phd-program-call-for-applications-deadline-november-15-2021|Call for Applications]]
+--></html>
+<html><!--
 //Bachelor students://{{ ::mobile-manipulator-crop.jpg?nolink&100|}} **Want to create artificial intelligence for autonomous robots?** Want to join our [[@/uibk/piater/courses/RC_Poster2.pdf |interdisciplinary LFUI team]] to compete in the 2020 [[https://www.robocup.org/leagues/16|RoboCup@Work]] competition? Take the [[https://lfuonline.uibk.ac.at/public/lfuonline_lv.details?sem_id_in=19W&lvnr_id_in=703135|Introduction to Robotics]] course in the winter semester 2019-20!
+--></html>
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 <div style="clear:both"><br></div>
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 ===== News =====
-<HTML><table><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
+<HTML><table><tr valign="top"><td>2022-02-19</td><td>Justus Piater gives an invited talk <i>Learning as a Creative Process in Humans and
-    „Primers for Predocs – Strategien für eine erfolgreiche
+    Machines</i> at <a href="https://www.philosophie.uni-konstanz.de/ag-mueller/online-workshop-on-agency-life-and-creativity/">Workshop
-    Promotion“</a>, Universität Heidelberg. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem0', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem0Abstract" style="display:none">Massive availability of data and computing power are
+    on “Agency, Life, and Creativity”</a>, online. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem0', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem0Abstract" style="display:none">Humans constantly engage in creative activity such as
-    promoting data-driven methods in all areas of science and
+    finding explanations, improving technology, or solving novel
-    technology.  I will describe how the University of Innsbruck
+    problems in everyday life. Even imitating other humans, e.g. while
-    supports this via its new Digital Science Center, and will give a
+    learning a new skill, is creative in that the imitator has to
-    flavor of machine learning for data analysis.</blockquote></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
+    infer the conceptual structure underlying the observed
-    Understand My Robot?</i> at <a href="http://www.trustrobots.eu/">TrustRobots Lecture series
+    manifestation and to regenerate the latter from the former. In
-    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
+    contrast, current AI-enabled agents are unable to generate and
-    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('newsitem2', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem2Abstract" style="display:none">A fundamental task of sensory processing is to detect
+    draw upon such conceptual structures. Their learning is mostly
-    and integrate feature items to group them into perceptual units
+    driven by statistics, and any ability to produce novelty is
-    segregating them from other objects and the background. A
+    largely limited to trial and error. I will try to characterize
-    framework is discussed which explains how perceptual grouping at
+    this fundamental difference between learning in human and
-    early as well as higher-level cognitive stages may be implemented
+    artificial agents, and will discuss possible technological
-    in cortex. Different grouping mechanisms are implemented which are
+    approaches that might help close this gap.</blockquote></td></tr><tr valign="top"><td>2021-11-24</td><td>Justus Piater is a panelist at a public discussion on <a href="https://www.linkedin.com/posts/elsa-innsbruck_letzte-woche-fand-zum-elsa-day-am-24112021-activity-6871397038093869057-16-7">Privacy
-    attuned to basic features and feature combinations and mainly
+    in the Digital Age</a>, online. (Organized by ELSA Innsbruck)</td></tr><tr valign="top"><td>2021-10-22</td><td>Justus Piater gives an invited talk <i>Robotik und KI in der Medizin – nur
-    evaluated along the forward sweep of stimulus processing. However,
+    Bedarfserweckung?</i> at <a href="https://medical-update-hall.com/veranstaltungen/">Medical
-    due to limitations of local feature detection mechanisms and
+    Update Hall 2021 – Fit für das neue Jahrzehnt</a>, UMIT, Hall in Tirol.</td></tr><tr valign="top"><td>2021-08-26</td><td>Justus Piater contributes a talk <i>Digital Science at the University of Innsbruck</i> at Aurora Research Conference Digital Society &amp; Global Citizenship, Vrije Universiteit Amsterdam. <span class="actions"><a href="javascript:void(0)" onclick="showHide('newsitem3', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem3Abstract" style="display:none">Growing data processing capacities and progress in
-    inherent ambiguities, top-down feedback is required to deliver
+    analytical methods and artificial intelligence are motivating
-    contextual information helping to disambiguate initial
+    entire branches of science to raise new questions and to develop
-    measurements. Feedback of contextual information is demonstrated
+    new approaches. This digital transformation requires progressive,
-    to improve object recognition performance, stabilize learning of
+    interdisciplinary synergies between the computational sciences and
-    object categories, and integrate multi-sensory representations.
+    all other scientific disciplines.  The Digital Science Center
+    (DiSC) at the University of Innsbruck meets this challenge by
-    The canonical principles of neural computation define a set of
+    integrating and promoting digitalisation of scientific research.
-    core operations to implement above-mentioned mechanisms of
+    In this talk I will present some examples of interdisciplinary
-    perceptual and cognitive inference. These operations can be
+    research by DiSC staff researchers who are experts in specific
-    mapped, in a simplified form, onto neuromorphic platforms to
+    aspects of digital science.</blockquote></td></tr><tr valign="top"><td>2021-08-24</td><td>Justus Piater contributes a lecture <i>Picking and Placing</i> at <a href="https://www.uibk.ac.at/informatik/forschung/gmar-robotics-school-2021.html">2021 GMAR Summer School</a>, Villa Blanka, Innsbruck.</td></tr><tr valign="top"><td>2021-07-01</td><td>Justus Piater and Matteo Saveriano give an invited talk <i>Making Robots Learn to Perceive and Act with Understanding</i> at <a href="https://webservices.scientificnet.org/rest/entries/api/v1/blobs/200894">Workshop
-    emulate brain-like computation. It is demonstrated that an
+    and Open Lab on Field Robotics - Interdisciplinary aspects of
-    architecture composed of canonical circuit mechanisms can be
+    robotics and its applications in outdoor scenarios</a>, NOI Techpark, Bolzano, Italy.</td></tr><tr valign="top"><td>2021-05-26</td><td>Justus Piater contributes a talk <i>Intelligente und interaktive Systeme</i> at <a href="http://www.gmar.at/aktuell/">GMAR Robotics Science
-    mapped onto neuromorphic chip technology facilitating low-energy
+    Talks</a>, online.</td></tr><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('newsitem7', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem7Abstract" style="display:none">With every spectacular achievement of a machine learning
-    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('newsitem3', 'Abstract')">[Abstract]</a></span><blockquote id="newsitem3Abstract" style="display:none">Humanoid robotics plays a central role in robotics
+    system, the long-elusive AI breakthrough is popularly proclaimed
-    research as well as in understanding intelligence. Engineering
+    to be just around the corner.  Most recent successes have been due
-    humanoid robots that are able to learn from humans and
+    in large part to massive data and computation, in particular using
-    sensorimotor experience, to predict the consequences of actions
+    deep artificial neural networks.  But can artificial cognition
-    and exploit the interaction with the world to extend their
+    really be achieved just by further scaling up existing
-    cognitive horizon remains a research grand challenge. Currently,
+    machine-learning techniques?  I discuss examples of simple,
-    we are experiencing AI systems with superhuman performance in
+    perceptual problems that are easily solved by humans but very
-    games, image and speech processing. However, the generation of
+    difficult for today's machine learning methods.  These problems
-    robot behaviors with human-like motion intelligence and
+    reflect how humans conceptualize their world.  Their mastery is
-    performance has yet to be achieved. In this talk, I will present
+    thus likely to be an essential prerequisite for autonomous robots
-    recent progress towards engineering 24/7 humanoid robots that link
+    to attain higher levels of cognitive abilities.  To get there, a
-    perception and action to generate intelligent behavior. I will
+    few core issues can be identified that should drive research in
-    show the ARMAR humanoid robots performing complex grasping and
+    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></table></HTML>
-    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><tr valign="top"><td>2019-11-18</td><td>Justus Piater gives an invited talk <i>Künstliche Intelligenz in einer menschlichen
-    Gesellschaft</i> at Robotik in Medizin und Pflege – Jubiläumssymposium
-    des Klinischen Ethikkommittees, A.ö. Landeskrankenhaus – Universitätskliniken
-    Innsbruck.</td></tr><tr valign="top"><td>2019-11-08</td><td>Justus Piater gives an invited talk <i>AI Transparency in Autonomous Vehicles</i> at <a href="https://cogvehicles2019.github.io/">Towards Cognitive
-    Vehicles: perception, learning and decision making under
-    real-world constraints. Is bio-inspiration helpful?</a>, Macau.</td></tr><tr valign="top"><td>2019-11-03</td><td>Justus Piater, Philipp Gschwandtner, and Simon Haller appear in the media: Österreich-Bild: Bits und Berge - 350 Jahre Forschung in Innsbruck; TV Documentary by ORF 2 (in German).</td></tr><tr valign="top"><td>2019-10-23</td><td>Simon Haller appears in the media: TV interview by ORF 2 Tirol Heute (in German).</td></tr><tr valign="top"><td>2019-10-11</td><td>Justus Piater appears in the media: <a href="https://issuu.com/eco.nova/docs/eco_06_2019_issuu/24">KI oder
-    die Geschichte einer gleichzeitigen Über- und Unterschätzung
-    (eco.nova, in German)</a>.</td></tr></table></HTML>
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