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start [2020/12/10 06:25]
IIS Webadmin
start [2022/05/14 06:25]
IIS Webadmin
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 ===== Working With Us ===== ===== 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]].   * 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><​!-- 
 + * [[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><​!-- <​html><​!--
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 ===== News ===== ===== 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>​2022-05-11</​td><​td>​Justus Piater gives an invited talk <i>Robots That Learn Like Humans?</i> at <a href="​https://​pintofscience.at/events/​innsbruck">Pint of 
-    ​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 +    ​Science</​a>, ​Innsbruck. <span class="​actions"><​a href="​javascript:​void(0)"​ onclick="​showHide('​newsitem0', '​Abstract'​)">​[Abstract]</​a></​span><​blockquote id="newsitem0Abstract" style="​display:​none">​Wouldn'​t it be great to have a helper robot that we can 
-    learning capabilities and flexibility. ​ This will enable them to +    ​task with our annoying chores? How would we teach the robot to 
-    ​act purposefully in unstructured environments and to react to +    perform ​these tasks? Can we build such robots by equipping ​them 
-    ​unforeseen events. ​ People can teach them intuitively to perform +    ​with artificial intelligence?​ We will discuss how human and 
-    ​tasks instead of having to program ​them in painstaking ways. +    ​machine learning differ and how this impacts what skills
-    ​Robots can learn from experience ​and can improve their behavior +    ​including for communicationour helper robot will be able to 
-    ​over time.  In this talk I will give an overview of methods+    ​learn.</​blockquote></​td></​tr><​tr valign="​top"><​td>​2022-02-19</​td><​td>​Justus Piater gives an invited talk <i>Learning as Creative Process in Humans and 
-    ​opportunitiesand challenges of machine learning in +    Machines</i> at <a href="​https://​www.philosophie.uni-konstanz.de/ag-mueller/online-workshop-on-agency-life-and-creativity/">Workshop 
-    ​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 <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  +    ​on “Agency, Life, and Creativity”</a>, online. <span class="​actions"><​a href="​javascript:​void(0)"​ onclick="​showHide('​newsitem1', '​Abstract'​)">​[Abstract]</​a></​span><​blockquote id="newsitem1Abstract" style="​display:​none">​Humans constantly engage in creative activity such as 
-    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 +    ​finding explanations,​ improving technology, or solving ​novel 
-    ​ISIS Réunion Apprentissage et Robotique</a>, online. <span class="​actions"><​a href="​javascript:​void(0)"​ onclick="​showHide('​newsitem4', '​Abstract'​)">​[Abstract]</​a></​span><​blockquote id="newsitem4Abstract" style="​display:​none">​Conditional Neural Movement Primitives (CNMP) constitute +    ​problems in everyday lifeEven imitating other humanse.g. while 
-    ​novel framework for robot programming by demonstration based on +    ​learning a new skillis creative in that the imitator has to 
-    ​Conditional Neural Processes (CNP) Like Bayesian methods such as +    ​infer the conceptual structure underlying the observed 
-    Gaussian Processes (GP)CNP learn how target distributions depend +    ​manifestation ​and to regenerate the latter from the former. In 
-    ​on dataand can be conditioned on specific data points ​to infer +    ​contrast, current AI-enabled agents ​are unable ​to generate and 
-    ​new target distributions at test time.  Unlike GP that are +    ​draw upon such conceptual structures. Their learning is mostly 
-    ​expensive to train and scale poorly ​to high dimensions, CNP are +    ​driven by statistics, and any ability to produce novelty is 
-    ​neural networks and are trained by gradient descent. ​ CNMP +    largely limited to trial and errorI will try to characterize 
-    leverage CNP to represent motion trajectories that can be +    ​this fundamental difference between learning ​in human and 
-    ​conditioned,​ at test time, on task paramters ​such as goal +    ​artificial agentsand will discuss possible technological 
-    ​locations, via points, and/or force readings ​Moreover,​ CNMP 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 
-    ​conditioned on sensor readings during execution, resulting ​in +    ​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 
-    ​robustreactive behavior. ​ This talk will present an overview of +    Bedarfserweckung?​</i> at <a href="​https://​medical-update-hall.com/veranstaltungen/">Medical 
-    ​how CNMP work and how they can be used in various robot +    ​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('​newsitem4', '​Abstract'​)">​[Abstract]</​a></​span><​blockquote id="newsitem4Abstract" style="​display:​none">​Growing ​data processing capacities ​and progress in 
-    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 +    analytical methods and artificial intelligence ​are motivating 
-    ​„Primers for Predocs ​– Strategien ​für eine erfolgreiche +    ​entire branches ​of science ​to raise new questions ​and to develop 
-    Promotion“</​a>, ​Universität Heidelberg. <span class="​actions"><​a href="​javascript:​void(0)"​ onclick="​showHide('​newsitem7', '​Abstract'​)">​[Abstract]</​a></​span><​blockquote id="newsitem7Abstract" style="​display:​none">​Massive availability of data and computing power are +    ​new approaches. This digital transformation requires progressive,​ 
-    ​promoting data-driven methods in all areas of science and +    interdisciplinary synergies between the computational sciences and 
-    ​technology.  ​I will describe how the University of Innsbruck +    all other scientific disciplines.  ​The Digital Science Center 
-    ​supports this via its new Digital Science Center, ​and will give a +    (DiSC) at the University of Innsbruck ​meets this challenge by 
-    ​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, +    ​integrating ​and promoting digitalisation of scientific research. 
-    Herausforderungen</i> at 47Tagung des Innsbrucker Kreises von MoraltheologInnen +    In this talk I will present some examples of interdisciplinary 
-    ​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 +    ​research by DiSC staff researchers who are experts in specific 
-    Understand My Robot?</i> at <a href="http://www.trustrobots.eu/">TrustRobots Lecture series +    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 
-    Trust in Robots</​a>, ​TU Vienna.</​td></​tr></​table></​HTML>​+    ​and Open Lab on Field Robotics - Interdisciplinary aspects of 
 +    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 
 +    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('​newsitem8',​ '​Abstract'​)">​[Abstract]</a></​span><​blockquote id="​newsitem8Abstract"​ style="​display:​none">​With every spectacular achievement of a machine learning 
 +    system, the long-elusive AI breakthrough is popularly proclaimed 
 +    to be just around the corner Most recent successes have been due 
 +    in large part to massive data and computation,​ in particular using 
 +    deep artificial neural networks. ​ But can artificial cognition 
 +    really be achieved just by further scaling up existing 
 +    machine-learning techniques? ​ I discuss examples of simple, 
 +    perceptual problems that are easily solved by humans but very 
 +    difficult for today'​s machine learning methods. ​ These problems 
 +    reflect how humans conceptualize their world. ​ Their mastery is 
 +    thus likely to be an essential prerequisite for autonomous robots 
 +    to attain higher levels of cognitive abilities. ​ To get there, a 
 +    few core issues can be identified that should drive research in 
 +    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></​table></​HTML>​
  
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