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<div id="htname">Welcome to the <br> Artificial Intelligence and Machine Learning Lab</div>
<div id="htem">Computer Science Department and Centre for Cognitive Science, TU Darmstadt, Altes
Hauptgebäude, Room 074, Hochschulstrasse 1,
64289 Darmstadt, Germany
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Artificial Intelligence = Machine Learning ?</a>
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<p class="text-justify"><b>Big Data is no fad</b>. The world is growing at an exponential rate, and
so is the size of data collected across the globe. Data is
becoming more meaningful and contextually relevant, breaks new ground for machine learning (ML),
in particular for deep learning (DL),
and artificial intelligence (AI), and even moves them from research labs to production [1]. The
problem has shifted from
collecting massive amounts of data to understanding it - turning it into knowledge, conclusions,
and actions.
Multiple research disciplines, from cognitive sciences to biology, finance, physics, and the
social sciences, as well
as many companies believe that data-driven and "intelligent" solutions are necessary in order to
solve many of their key problems. <b>However,
are AI, ML and DL really the same things, as suggested by many
recent news, blogs and media?</b> For example, when AlphaGo [2]
defeated South Korean Master Lee Se-dol in the board game Go in 2016, the terms AI, ML, and DL
were used in the media to describe how
AlphaGo won.
AI and ML are very much related.
<p class="text-justify">According to, e.g., Stanford's John McCarthy [3], one of the founders of the
field,
<b>AI is "the science and engineering of making intelligent machines, especially intelligent
computer programs. It is related to the
similar task of using
computers to understand human intelligence, but AI does not have to confine itself to
methods that are biologically
observable." </b>
This is fairly generic and includes all kinds of tasks such as abstractly reasoning and
generalizing about the world, solving puzzles,
planning how to achieve goals, moving around in the world, recognizing objects and sounds,
speaking, translating, performing social or
business transactions, creative work (e.g. making art or poetry), and controlling robots.
And, the behavior of a machine is not just the outcome of the program, it is also affected by
its "body" and the enviroment it is
physically embedded in. To keep it simple, however,
if you can write a very clever program that has, say, human-like behavior, it can be AI. But
unless it is automatically learned from
data, it is not ML:
<b> ML is the science that is "concerned with the question of how to construct computer programs
that automatically improve with
experience"</b>,
following, e.g., CMU's Tom Mitchell [4].
</p>
<p class="text-justify">So, <b>AI and ML are both about constructing intelligent computer
programs</b>, and deep learning, being an instance of machine learning,
is no exception.
Deep learning [5, 6], which has achieved remarkable gains in many domains spanning object
recognition, speech recognition, and control,
can be viewed as constructing computer programs, namely programming layers of abstraction in a
differentiable way using reusable
structures such as convolution, pooling,
auto encoders, variational inference networks, and so on. That is, we replace the complexity of
writing algorithms that cover every
eventuality with the complexity of
finding the right general outline of the algorithms - in the form of e.g. a deep neural network
- and processing data. By virtue of the
generality of neural
networks - they are general function approximators - training them is data hungry and coming up
with the right architecture and data is
notoriously difficult. Benchmark training sets for object recognition store hundreds or
thousands of examples per class. Learning to
play video games may require
hundreds of hours of training experience and/or very expensive compute power.
In contrast, writing an algorithm that covers every eventuality of a task we want to solve -
say, computing the shortest way to get to
an airport - is a lot of manual
work but we know what the algorithm does by design and we can study and understand more easily
the complexity of the problem it solves.
Especially when a machine has to
interact with a human, this seems to be valuable.</p>
<p class="text-justify"><b>This illustrates that ML and AI are indeed very similar, but not quite
the same.</b> The easiest way to think of their relationship is
to visualize them as concentric
circles with AI first and ML sitting inside (with DL fitting inside both), since <b>ML also
requires to write algorithms that cover
every eventuality, namely, of the learning process</b>.
The crucial point is that <b>they share the idea of using computation as the language for
intelligent behaviour</b>. What kind of
computation and how to program it? That remains an open question.
Computation neither rules out search, logical, probabilistic and constraint programming
techniques nor (deep) (un)supervised and
reinforcement learning methods, among others,
as computational models do contain all of them. Reconsider AlphaGo. AlphaGo and its successor
AlphaGo Zero [7] both combine deep
learning and tree search - ML and AI.
Or consider the "Allen AI Science Challenge" [8]. The task is to comprehend a paragraph that
states a science problem at the middle
school level and then answer a multiple-choice question.
The winning models all employed ML but did not pass yet the test at the level of a competent
middle schooler. All winners argued it was
clear that applying a deeper, semantic level of reasoning
with scientific knowledge to the question and answers, i.e., AI would be the key to achieving
true intelligence. That is, we have to
cover knowledge, reasoning, and learning, whether just
programmed or learning-based programmed. </p>
<p class="text-justify"> Moreover, along the lines of Berkeley's Michael Jordan [9], while the
building block have begun to emerge, the principles for putting these
blocks together have not yet emerged. However, statistical relational learning [10],
probabilistic programming [11], and learning-based programming [12]
may provide good starting points for developing <b>Systems AI</b> - the computational and
mathematical modeling of complex AI systems - and in turn
an <b>engineering discpline for AI and ML</b>.</p>
<p>
<small>
[1] Jordan, M. I. and Mitchell, T. M. (2015). Machine learning: Trends, perspectives, and
prospects. Science
349, 255–260
<br>[2] Silver, D., Huang, A., Maddison, C., Guez, A., Sifre, L., van den Driessche, G., et
al. (2016). Mastering
the game of Go with deep neural networks and tree search. Nature 529, 484–489
<br>[3] McCarthy, J. (2007). What is artificial intelligence? Tech. rep., Stanford
University,
<a href="http://jmc.stanford.edu/artificial-intelligence/what-is-ai/index.html"
target="_blank">http://jmc.stanford.edu/artificial-intelligence/what-is-ai/index.html</a>.
Accessed June 2, 2018
<br>[4] Mitchell, T. M. (1997). Machine learning. McGraw Hill series in computer science
(McGraw-Hill)
<br>[5] LeCun, Y., Bengio, Y., and Hinton, G. (2015). Deep learning. Nature 521, 436–444
<br>[6] Goodfellow, I. J., Bengio, Y., and Courville, A. C. (2016). Deep Learning. Adaptive
Computation and
Machine Learning (MIT Press)
<br> [7] Silver, D., Schrittwieser, J., Simonyan, K., Antonoglou, I., Huang, A., Guez, A.,
et al. (2017). Mastering
the game of Go without human knowledge. Nature 550, 354–359
<br> [8] Schoenick, C., Clark, P., Tafjord, O., Turney, P. D., and Etzioni, O. (2017).
Moving beyond the Turing Test
with the Allen AI Science Challenge. Commun. ACM 60, 60–64
<br> [9] Jordan, M. (2018). Artificial Intelligence — The Revolution Hasn’t Happened Yet. <a
href="https://medium.com/@mijordan3/artificial-intelligence-the-revolution-hasnt-happened-yet-5e1d5812e1e7"
target="_blank">https://medium.com/@mijordan3/artificial-intelligence-the-revolution-hasnt-happened-yet-5e1d5812e1e7</a>,
Accessed July 8, 2018.
<br> [10] De Raedt, L., Kersting, K., Natarajan, S., Poole, D. (2016). Statistical
Relational Artificial Intelligence: Logic, Probability, and Computation. Synthesis Lectures
on Artificial Intelligence and Machine Learning, Morgan &
Claypool Publishers, ISBN: 9781627058414.
<br> [11] Pfeffer, A. (2016). Practical Probabilistic Programming. Manning Publications Co.
ISBN: 9781617292339
<br> [12] Kordjamshidi, P., Roth, D., Kersting, K. (2018). Systems AI: A Declarative
Learning Based Programming Perspective.
In Proceedings of the 27th International Joint Conference on Artificial Intelligence and the
23rd European Conference on Artificial Intelligence (IJCAI-ECAI).
</small>
</dd>
</dl>
</div>
<figure>
<img class="img-fluid" src="./images/group_picture_june23.jpg" style="float: center; margin: 0px 0px 10px 0px;"
alt="The AIML group in June 2023">
<figcaption style="text-align:right;">AIML group, June 2023</figcaption>
</figure>
<br>
<p class="text-justify"><b> AIML Mission.</b> The Artificial Intelligence and Machine Learning lab would like to
make computers learn so much about the world,
so rapidly and flexibly, as humans. This poses many deep and fascinating scientific problems:
How can computers learn with less help from us and data? How can computers reason about and learn with
complex
data such as graphs and uncertain databases? How can pre-existing knowledge be exploited? How can computers
decide autonomously which representation is best for the data at hand? Can learned results be physically
plausible or be made understandable by us? How can computers learn together with us in the loop?
To this end, we develop novel machine learning (ML) and artificial intelligence (AI) methods, i.e., novel
computational methods that contain and combine for example search, logical and probabilistic
techniques as well as (deep) (un)supervised and reinforcement learning methods.</p>
<br>
</div>
<div class="container" id="video">
<a name="video"></a>
<b>AIML Clip</b>. <br>
<center>
<video controls preload="none" width="820" poster="./images/aiml2020small.png">
<source src="./videos/aiml2020small.mp4" type="video/mp4">
</video>
<div class="warning">Produced March 28, 2020. This clip is up to about 9MB in size. Playing it will cause
this file in its entirety to be downloaded.
</div>
</center>
<br>
<b>AIML News</b>.
</div>
<div class="container" id="news"
style="margin-top:1px;margin-bottom:20px;height:250px; width:auto;overflow-y:scroll;list-style-position: outside">
<a name="news"></a>
<TABLE BORDER="0" width="100%">
<TR>
<TD style="vertical-align:top"><span class="t2when"> March 2020:</span></TD>
<TD><span class="t2where">Our work on using deep learning for playing the chess variant of Crazyhouse accepted at Frontiers in ML an AI. Congrats Johannes!</span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> March 2020:</span></TD>
<TD><span class="t2where">We co-organized the Spring Symposium 2020 of the Fachgruppe Database Systems (FG DB). Thanks to Carsten for the co-organization and to all participants!
</span></TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Feb. 2020:</span></TD>
<TD><span
class="t2where">Our work on using SPNs for AQP within databases accepted at VLDB. Congrats!</span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Feb. 2020:</span></TD>
<TD><span class="t2where">Our work on estimating the importance of relational features accepted at ISMIS. Congrats Matej!</span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Feb. 2020:</span></TD>
<TD><span class="t2where"> Looking for AI experts in academia with a proven technical competency in your country? We introduced together with Andreas Hotho from U. Wuerzburg <a
href="http://airankings.professor-x.de"> AI-Rankings</a>. Check
it out!
</span></TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Feb. 2020:</span></TD>
<TD><span class="t2where">Our Dagstuhl Seminar on "Software Engineering for AI-ML-based Systems" (SE4ML) was a lot of fun and very informative. Thanks to Miryung, Guy, and Thomas for the great coorganization!</span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Jan. 2020:</span></TD>
<TD><span class="t2where"> Kristian appointed to the Research Council of the University of Hamburg and to the working group "Handling of Research Data" of the Wissenschaftliche Kommission Niedersachsen.
</span></TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Jan. 2020:</span></TD>
<TD><span
class="t2where">Extended abstract on Sum-Product Logic accepted at ProbProg 2020. Congrats!</a></span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Jan. 2020:</span></TD>
<TD><span
class="t2where">Paper on private SPN inference accepted at ECAI 2020. Congrats Alejandro!</a></span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Jan. 2020:</span></TD>
<TD><span class="t2where">Our opinion on neural-symbolic models for argument mining accepted at Frontiers in Big Data. Congrats!</a></span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Jan. 2020:</span></TD>
<TD><span class="t2where">Kristian gave invited talk on Hybrid AI at ACM India Joint International Conference on
Data Science & Management of Data (CODS-COMAD) 2020 in Hyderabad, India.</a></span></TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Dec. 2019:</span></TD>
<TD><span class="t2where">Two papers accepted at ICLR 2020, one on learning activation functions and one on video-based physics prediction. Congrats to everyone!</a></span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Dec. 2019:</span></TD>
<TD><span class="t2where">Kristian named ELLIS Faculty as part of the new ELLIS Unit IS•DA - Intelligent Systems at TU Darmstadt.</a></span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Dec. 2019:</span></TD>
<TD><span class="t2where">Kristian is founding board member of <a href="https://www.ai-frankfurt.de/">AI Frankfurt Rhine-Main</a>, an AI network connecting companies, universities, research institutes and start-ups in the Rhine-Ruhr
metropolitan region.</a></span></TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Dec. 2019:</span></TD>
<TD><span class="t2where">Talks on deep probabilistic models at the University of Waterloo and Borealis.AI, Canada.</a></span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Nov. 2019:</span></TD>
<TD><span class="t2where">Invited talk on the future of AI at the 50 Years Anniversary Conference of the University of Bielefeld.</a></span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Nov. 2019:</span></TD>
<TD><span class="t2where">Talk on "The Third Wave of AI" at the DFG Committee on Scientific Instrumentation and Information Technology in Berlin, Germany.</a></span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Oct. 2019:</span></TD>
<TD><span
class="t2where">Tutorial on the Automatic Statistician at the Deutscher IT-Leiterkongress 2019</a></span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Oct. 2019:</span></TD>
<TD><span class="t2where"><a
href="https://www.arte.tv/de/videos/RC-017847/helena-die-kuenstliche-intelligenz/"
target="_blank">ARTE series</a> showcasing some recent developments in AI such as our moral choice machine.</span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Oct. 2019:</span></TD>
<TD><span class="t2where">We are now the Artificial Intelligence and Machine Learning Lab, stressing our strong research interests in reasoning and learning.</a></span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Sept. 2019:</span></TD>
<TD><span class="t2where">Kristian recevied the German AI Award (Deutscher KI Preis) 2019, which comes with 100K Euros. The award is under the patronage of
the BILANZ magazin and supported by Airbus, the Apeiron Investment Group, the BMW Group, the Otto Group and the Maschmeyer Group.</a></span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Sept. 2019:</span></TD>
<TD><span class="t2where">Research stay of Karl Stelzner with Adam Kosiorek, University of Oxford, on sequential attend-infer-repeat models.</a></span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Sept. 2019:</span></TD>
<TD><span class="t2where">Kristian discussed moral machines, predictive policing, and AI at a panel of the Bad Homburg conference on "AI: How can we trust algorithms?". Thanks to the panel for the very interesting insights!</a></span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Sept. 2019:</span></TD>
<TD><span class="t2where">Kristian publically discussed with Hessen Minister for Higher Education, Research and the Arts Angela Dorn and Jessica Heesen from the University of Tübingen about AI and ethics.</a></span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Sept. 2019:</span></TD>
<TD><span class="t2where">Kristian talked about AI in a <a
href="https://www.youtube.com/watch?v=WXIDjwwnnlA" target="_blank">podcast featured by "Hessen schaft Wissen".</a></span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Sept. 2019:</span></TD>
<TD><span class="t2where">Our Dagstuhl Seminar on "Logic and Learning" was a lot of fun and very informative. Thanks to Phokion, Michael, and Daniel for the great coorganization!</a></span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> August 2019:</span></TD>
<TD><span class="t2where"> Our work on the <a
href="https://wijo.pageflow.io/kuenstliche-intelligenz#221769" target="_blank">moral choice machine</a> got featured in muli-media online presentation.</span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> August 2019:</span></TD>
<TD><span class="t2where"> Our work on the <a href="./papers/moralFR2019.pdf" target="_blank">moral choice machine</a> got featured in the Frankfurter Rundschau</span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> August 2019:</span></TD>
<TD><span class="t2where">Paper on explicit feature maps of graph kernels expected at DAMI. Congrats Niels and Chrisophter! </span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> July 2019:</span></TD>
<TD><span class="t2where">Kristian joint the IJCAI-JAIR 2019 Best Paper Award Committee. </span></TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> June 2019:</span></TD>
<TD><span class="t2where">Our paper on speeding up AIR received the Best Paper Award at the ICML 2019 Workshop on Tractable Graphical Models (TPM). Congrats Karl and Robert!</span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> June 2019:</span></TD>
<TD><span class="t2where">Kristian elected as Fellow of the European Association for Artificial intelligence (EurAI) for exceptional contributions to the field of AI. </span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> June 2019:</span></TD>
<TD><span class="t2where">Paper accepted at Remote Sensing on hyperspectral imaging at the ultraviolet range. Congrats Patrick!</span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> May 2019:</span></TD>
<TD><span class="t2where">UAI paper accepted on deep probabilistic learning using random sum-product networks. Congrats Karl, Alejandro, Robert, Antonio and Martin!</span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> May 2019:</span></TD>
<TD><span class="t2where">IJJR paper accepted on probabilistic movement grammars. Congrats Rudi!</span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> May 2019:</span></TD>
<TD><span class="t2where">Kristian joint the KDD 2019 Best Paper Award Committee for the Applied Data Science Track. KDD is the premier interdisciplinary conference bringing together researchers and practitioners from data science, data
mining, knowledge discovery, large-scale data analytics, and big data.</span></TD>
</TR>
<TR>
<TD style="vertical-align:top; min-width:100px"><span class="t2when"> May 2019:</span></TD>
<TD><span class="t2where">Kristian joint the jury of the "Deutscher KI-Preis" of the German Magazin BILANZ in cooperation with Airbus, Presight Capital, the BMW group, McKinsey&Company and the Otto group.</span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top; min-width:100px"><span class="t2when"> April 2019:</span></TD>
<TD><span class="t2where">Accepted ICML paper on making the AIR model faster using SPNs. Congrats Karl and Robert.</span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top; min-width:100px"><span class="t2when"> April 2019:</span></TD>
<TD><span class="t2where">Karl shared his views on AI at the 6. Wiesbadener Science Pub.</span></TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> April 2019:</span></TD>
<TD><span class="t2where">Krisitan joint the Expert Committee of the Association of German Engineers (VDI) for fundamentals of intelligent learning systems.</span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> April 2019:</span></TD>
<TD><span class="t2where">Invited Talk at DFG conference on "Traceability and securing of results as essential
challenges of research in the digital age", Berlin, spring 2019.</span></TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> April 2019:</span></TD>
<TD><span class="t2where">Invited Talk at 3rd ETAPS Workshop on Learning in Verification (LiVe).</span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> April 2019:</span></TD>
<TD><span class="t2where">Discussion with high school students on Blade Runner and Artificial Intelligence as part of the Schulkinowochen in Hesse.</span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> March 2019:</span></TD>
<TD><span class="t2where">Consider to submit to our ICML workshop on Tractable Probabilistic Models (TPMs). Congrats Alejandro for coorganizing this. </span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> March 2019:</span></TD>
<TD><span class="t2where">Keynote on AI at the Leibniz Convent on Artificial Intelligence.</span></TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> March 2019:</span></TD>
<TD><span class="t2where">Our "Moral Choice Machine" featured on <a href="https://www.hr-fernsehen.de/sendungen-a-z/hauptsache-kultur/sendungen/hauptsache-kultur,sendung-56324.html
" target="_blank"> HR-fernsehen</a>, the television station of Hessischer Rundfunk, starting in the video at around 13:15 min.</span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> March 2019:</span></TD>
<TD><span class="t2where"> Kristian was named <a href="https://www.aminer.cn/ai10/ai" target="_blank"> Top 100 Influential Scholar 2018</a> for Artificial Intelligence by AMiner. The 2018 winners are the most cited scholars in the AAAI and
IJCAI conferences between 2007 and 2017, which are identified as the top venues of Artificial Intelligence.</span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Feb. 2019:</span></TD>
<TD><span class="t2where"> Invited talk on AI at the <a href="https://efl-spring-con-2019.de/"
target="_blank"> EFL Spring Conference on AI in the financial service industry</a>. Thanks for organizing such a great event!</span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Feb. 2019:</span></TD>
<TD><span class="t2where"> Full week AI/ML course for Bat the <a
href="https://www.bosch.de/unser-unternehmen/bosch-in-deutschland/renningen/" target="_blank">Bosch Innovation Campus</a> in Renningen. Thanks for the great feeback! </span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Jan. 2019:</span></TD>
<TD><span class="t2where"> Acquired a new RMU Network for <a
href="https://www.tu-darmstadt.de/vorbeischauen/aktuell/news_details_221312.en.jsp"
target="_blank">Deep Continuous-Discrete Machine Learning (DeCoDeML)</a>. The goal is to make
deep models more comprehensible or at least perceived in such a way that they can be related to human understanding.</span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Dec. 2018:</span></TD>
<TD><span class="t2where"> Two papers accepted at AIES, the second ACM/AAAI conference on AI, ethics, and society. The one paper introduces the novel paradigm of Explanatory Interactive Machine Learning, the other one the Moral Choice
Machine. Congrats guys!</span></TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Dec. 2018:</span></TD>
<TD><span class="t2where"> Kristian joint <a href="https://claire-ai.org/" target="_blank">CLAIRE</a>'s IAG ML, which should serve as a good mechanism for coordinating between CLAIRE and ELLIS. Exciting! ML and AI are two fellow travelers
on the quest for intelligent behaviour in machines, and Darmstadt is supporting both ELLIS and CLAIRE. </span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Nov. 2018:</span></TD>
<TD><span class="t2where"> The AI•DA-<a href="https://claire-ai.org/" target="_blank">CLAIRE</a> Symposium about the <a
href="https://www.informatik.tu-darmstadt.de/ki_symposium/index.en.jsp" target="_blank">the beginnings, the present
and the future of AI-research</a> on the occasion of Wolfgang Bibel's 80th birthday was a great success. Thanks to all speakers for their wonderful talks! </span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Oct. 2018:</span></TD>
<TD><span class="t2where"> Two AAAI 2019 papers accepted. Congrats guys! </span></TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Oct. 2018:</span></TD>
<TD><span class="t2where"> Check out Kristian's <a
href="http://sigai.acm.org/static/aimatters/4-3/AIMatters-4-3-07-Neumann.pdf" target="_blank"> interview</a> within the AI Profiles column of AI Matters 4(3), 2018 </span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Oct. 2018:</span></TD>
<TD><span class="t2where"> New project as part of the RMU "Initiavfonds Forschung" for setting up a collaboration with the Universty of Mainz on deep learning in mixed domains. Looking forward to our collarbotion Stefan!</span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Oct. 2018:</span></TD>
<TD><span class="t2where"> Chancellor Dr. Merkel describes the TU Darmstadt as a <a
href="https://www.bundesregierung.de/breg-de/aktuelles/pressestatement-von-bundeskanzlerin-merkel-beim-besuch-der-tu-darmstadt-am-8-oktober-2018-1535726"
target="_blank">"jewel in questions of AI with all its sub-areas"</a>. </span></TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Oct. 2018:</span></TD>
<TD><span class="t2where">Invited talk on "Towards the Democratization of Machine Learning using Probabilistic Programming" at the Inaugral Conference on Probabilistic Programming (ProbProg) 2018.</span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Oct. 2018:</span></TD>
<TD><span class="t2where">Invited talk on "Feeding the world with big data: machines uncover spectral characteristics and dynamics of stressed plants" at "Plants and Animals: Bridging the Gap in Breeding Research" 2018.</span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Sept. 2018:</span></TD>
<TD><span class="t2where">Invited talk on "The Automatic Data Scientist" at the Logic and Learning section of the Highlights of Logic, Games and Automata 2018 conference.</span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Sept. 2018:</span></TD>
<TD><span class="t2where"> Our KI 2018 tutorial on "Statistical Relational AI" in Berlin was a great success. Thanks to Tanya and Ralf! </span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> August 2018:</span></TD>
<TD><span class="t2where"> TUDa is the #1 German and #2 European AI institution
(based on the number of publication at top venues over the last 10 years in the
combined areas of Artificial Intelligence, Computer Vision, Machine Learning, Natural
Language Processing, and Robotics) according to csrankings.org. </span></TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> August 2018:</span></TD>
<TD><span class="t2where"> Our European Association for AI (EurAI) Advanced Course on AI (ACAI) "Statistical Relational AI" in Ferrara (Italy) was a great success. Great lecture materials and recordings! Thanks to all lecturers and the
whole team for the great event! </span></TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> August 2018:</span></TD>
<TD><span class="t2where">The German Workshop on Knowledge Discovery and Machine Learning (KDML) 2018 we organized in Mannheim (Germany) was a lot of fun. Thanks to the whole team for the great organization and support! </span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> August 2018:</span></TD>
<TD><span class="t2where">The International Conference on Uncertainty in AI (UAI) 2018 we helped organizing in Monterey (USA) was a lot of fun. Thanks to the whole team for the great organization and support! </span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> July 2018:</span></TD>
<TD><span class="t2where">Invited talk on "Systems AI" at IJCAI 2018 workshop on Learning and Reasoning Workshop (LR) </span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> July 2018:</span></TD>
<TD><span class="t2where">Hosted interim meeting of our "Artificial Intelligence" Research Training Group of the German National Academic Scholarship Foundation at the TU Darmstadt. Thanks for all the exciting discussions!</span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> June 2018:</span></TD>
<TD><span class="t2where">Two Dagstuhl seminars accepted: "Logic and Learning" and "Software Engineering for AI-ML-based Systems." Exciting! </span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> June 2018:</span></TD>
<TD><span class="t2where">The call for the establishment of a confederation of laboratories for AI research in Europe (claire-ai.org) is out. We are a key supporter! </span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> June 2018:</span></TD>
<TD><span class="t2where">Participated in BMBF expert panel on "Made in Germany: Self-learning systems as Advantage for Tomorrow" at CEBIT 2018. </span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> June 2018:</span></TD>
<TD><span class="t2where">Three TPM@ICML2018 papers accepted. Congrats guys! </span></TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> June 2018:</span></TD>
<TD><span class="t2where">Founding EiC of the new Frontiers in Big Data journal on "ML and AI". Check it out! </span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> May 2018:</span></TD>
<TD><span class="t2where">Keynote on "Automatic Data Scientist" at Data Science Day Jena 2018. Thanks for inviting! </span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> April 2018:</span></TD>
<TD><span class="t2where">One IJCAI-ECAI survey paper on "Systems AI" and learning-based programming accepted! Congrats Parisa! </span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> April 2018:</span></TD>
<TD><span class="t2where">Joint the Technical Review Board of the Robert Bosch Centre for Data Science and AI at IIT Madras, India. This is an interdisciplinary research centre for AI set up at IIT Madras. Exciting!
</span></TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> April 2018:</span></TD>
<TD><span class="t2where">Two IJCAI-ECAI papers on symbolic-numerical and lifted inference accepted! Congrats to all! </span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Feb. 2018:</span></TD>
<TD><span class="t2where"> Joint the working group "Technoligical Enablers and Data Science" of the Plattform Self-Learning Systems of the Federal Ministry for Education and Research (BMBF). Excited to help shaping the future of AI in
Germany. </span>
</TD>
</TR>
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<TD style="vertical-align:top"><span class="t2when"> Jan. 2018:</span></TD>
<TD><span class="t2where">One SysML and one ICRA paper accepted! Congrats Rudolph and Alejandro! </span>
</TD>
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<TD style="vertical-align:top"><span class="t2when"> Dec. 2017:</span></TD>
<TD><span
class="t2where">Our NIPS 2017 tutorial and workshop went very well. Thanks for attending! </span>
</TD>
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<TD style="vertical-align:top"><span class="t2when"> Nov. 2017:</span></TD>
<TD><span class="t2where">And the P<sup>5</sup> Award 2017 goes to the Project Group 608 "Manipulation". Congratualtions guys! </span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Nov. 2017:</span></TD>
<TD><span class="t2where">Three AAAI papers about core sets, sum-product networks, resp. autoencoders accepted. Congrats guys!</span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Oct. 2017:</span></TD>
<TD><span class="t2where">Children's university lecture on "What is actually Artificial Intelligence?" at the comprehensive school Gänsewinkel in Schwerte, Germany.</span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Oct. 2017:</span></TD>
<TD><span class="t2where">Consider to submit to our NIPS 2017 Highlights workshop!</span></TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Oct. 2017:</span></TD>
<TD><span class="t2where">New DFG project on Argumentative Machine Learning (CAML) within the SPP RATIO. Looking forward to our collaboration, Matthias!</span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Oct. 2017:</span></TD>
<TD><span class="t2where">Invited talk on "Tractable Data Journalism" at the Berlin Machine Learning Meetup Group.</span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Sept. 2017:</span></TD>
<TD><span class="t2where">BIBM paper on predicting the number of Angioplasty procedures using Poisson Dependency Networks accepted. Congrats Shuo!</span>
</TD>
</TR>
<TR>
<TD style="vertical-align:top"><span class="t2when"> Sept. 2017:</span></TD>
<TD><span class="t2where">Invited talk on declarative machine learning systems and lifted quadratic programming at the KI 2017 Sister Conference Session.</span>
</TD>
</TR>