The SAIS AI Master’s Thesis Award 2016 – Call for nominations

In order to stimulate work in the area of artificial intelligence at the undergraduate level of education, SAIS has created a special yearly award for the best Master’s thesis (examensarbete) in the area of artificial intelligence. The winner will be awarded travel funds of 5000SEK, and is in addition expected to attend the SAIS workshop to present the winning contribution (travel, hotel and registration paid by SAIS).

To nominate a Master’s Thesis for the award, the following rules apply:

  • The thesis is in one of the main areas of artificial intelligence research.
  • The thesis has been presented officially during the period of January 1, 2015 – January 31, 2016.
  • An electronic copy of the thesis (PDF) and a short written motivation by the nominator should be sent to mthprize@sais.se, include the terms “SAIS” and “Master’s Thesis award” in the subject line, no later than March 9, 2016. The nomination should include a short motivation why the thesis should be selected as the winner, and state its contributions to AI.
  • The nominating person must be a member of SAIS, but does not have to be the official examiner or primary supervisor.
  • Only one thesis nomination per nominating person is permitted.
  • The master thesis project has to be conducted by a student registered at a Swedish university or other higher education establishment in Sweden, and/or presented in Sweden.

The SAIS board will review the nominated Master’s theses and determine a winner based on factors such as novelty, thoroughness, readability, scientific value and relevance to artificial intelligence, both with respect to research and to potential applications. The decision by the SAIS board will be final. The selected winner will be announced in time for the 2016 SAIS workshop, where the winner will be expected to present their work.

Fredrik Heintz – President of SAIS
Eva Blomqvist – Secretary of SAIS

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SAIS Best AI Master’s Thesis Award 2015

Fredrik Heintz congratulates Mattias Tiger to winning the SAIS Best AI Master's Thesis Award

Fredrik Heintz congratulates Mattias Tiger to winning the SAIS Best AI Master’s Thesis Award

The SAIS board is happy to award Mattias Tiger the 2015 SAIS Master Thesis Award for the thesis ”Unsupervised Spatio-Temporal Activity Learning and Recognition in a Stream Processing Framework” with the following motivation:
The award goes to Mattias Tiger for a thesis, which presents extensive work that required substantial theoretical understanding, and which has resulted in a method with high potential for becoming used. Tiger has developed a novel trajectory clustering approach for unsupervised on-line learning of spatio-temporal activities of individual objects that can be used for both classifying ongoing activities and predict future activities. The representation learned includes both a continuous part representing the continuous trajectory of an object and a discrete part representing the transitions between primitive activities. The foundation for the work is a new approach to sparse Gaussian Processes suitable for representing trajectories. The problem is highly relevant for the AI field, not only for activity classification, but also for more generic non-parametric modelling of time series for several different applications. The work has so far resulted in two publications and in receiving a PhD student grant from the national graduate school in computer science (CUGS). The solution has scientific height, is well motivated and clearly described. The report is clear and pedagogical written.

The project was supervised by Daniel de Leng and Fredrik Heintz, both at Linköping University.

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ECAI 2014: The Reunion of AI and Robotics

ECAI2014

Alessandro Saffiotti keynote at ECAI 2014

Alessandro Saffiotti from Örebro University, one of Sweden’s three ECCAI Fellows, today gave a keynote at ECAI 2014 in Prague. The title was “The Reunion of AI and Robotics – Opportunities and Challenges”. In the talk Alessandro shared his vision and ideas about how to bring AI and robotics closer together, which is very important.

For those that want to get involved there is an active community, for more information see: http://ai-robotics.wikispaces.com/

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IJCAI/ECAI 2018 in Stockholm

It is my great pleasure to announce that IJCAI/ECAI 2018 will be in Stockholm! This will be the first joint IJCAI/ECAI conference. The background is that starting next year IJCAI will be a yearly conference and every forth year there will be a joint IJCAI/ECAI in Europe. It is also the first time that IJCAI is hosted in the same city twice.

This is a great opportunity for SAIS and for AI in Sweden!

Please join in the work and help us make this both a great event and more importantly a common goal for the Swedish AI community to show what we have done and what we can do. To achieve this we especially have to get more interactions with companies using AI-related technologies. If you work at such a company or know of such companies please let me know.

Sincerely,
Fredrik Heintz
President of SAIS

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The Winner of SAIS best AI Master’s Thesis Award 2014

We are happy to announce that the winner of the Swedish AI Society’s prize for best AI Master’s Thesis 2014 is Daniel de Leng, for his thesis work conducted at Linköping University. The title of the thesis is “Extending semantic matching in DyKnow to handle indirectly-available streams”. The supervisor is Fredrik Heintz, Linköping University and the examiner is Professor John-Jules Meyer, Utrecht University.

The motivation is: The award goes to Daniel de Leng for a thesis, which presents extensive work that demonstrates skills in both software development for robotics, formal theory, and formal languages, all useful building blocks for artificial intelligence. A strength, and which proves the soundness of his results, is that it goes all the way from theory to implementation and evaluation. The results fit nicely into a use context, and advance both theoretical work on semantic information integration for stream reasoning by taking into consideration indirectly-available streams, and practical implementation as the first integrated version of DyKnow-ROS, which can be used for empirical experimentation. In this context, it is clear that the results open up several avenues of new paths for research. The text is well written, showing results with high level of maturity and has resulted in a scientific publication, which further shows that it is of high quality.

The submitted theses were read and evaluated by a group of expert reviewers. A combination of four criteria was used to determine the winner: maturity of content, scientific value, writing style, and relevance of the content to the AI area. All submitted theses were of very high quality but the chosen thesis stood out when evaluating all criteria.

The thesis will be presented at the SAIS workshop, which is taking place the coming two days (May 22-23) at KTH, Stockholm. For more information and schedule, please, visit

http://www.sais.se/sais2014/

Helena Lindgren on behalf of the SAIS board

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The SAIS AI Master’s Thesis Award 2014 – Call for nominations

In order to stimulate work in the area of artificial intelligence at the undergraduate level of education, SAIS has created a special yearly award for the best Master’s thesis (examensarbete) in the area of artificial intelligence. The winner will be awarded travel funds of 5000SEK, and is in addition expected to attend the SAIS Workshop to present the winning contribution (travel, hotel and registration paid by SAIS).

To nominate a Master’s Thesis for the award, the following rules apply:

  • The thesis is in one of the main areas of artificial intelligence research.
  • The thesis has been presented officially during the period of  January 1, 2013 – January 31, 2014.
  • An electronic copy of the thesis (PDF) and a short written motivation by the official examiner or primary supervisor should be sent to mthprize@sais.se, include the terms “SAIS” and “Master’s Thesis award” in the subject line, no later than February 28, 2014.  The nomination should include a short motivation why the thesis should be selected as the winner and state its contributions to AI.
  • The nominating person must be a member of SAIS.
  • Only one thesis nomination per nominating person is permitted.

The SAIS board will review the nominated Master’s theses and determine a winner based on factors such as novelty, thoroughness, readability, scientific value and relevance to artificial intelligence both with respect to research and to potential applications. The decision by the SAIS board will be final. The selected winner will be announced in time for the SAIS Workshop, where the winner will be expected to present their work.

Fredrik Heintz – President of SAIS
Eva Blomqvist – Secretary of SAIS

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SAIS exjobbspris 2013 – vinnaren utsedd

Vinnare av SAIS exjobbspris 2013 är:
Andrea Baisero, KTH
för examensarbetet med titeln “Encoding Sequential Structures using Kernels – Path-Based Feature Space Embeddings for Sequential Data.”
(Nominerad av: Danica Kragic, KTH)

Motiveringen till priset lyder:
“The award goes to Andrea Baisero for his thesis entitled “Encoding
Sequential Structures using Kernels – Path-Based Feature Space
Embeddings for Sequential Data”. The thesis is of high theoretical
and mathematical strength, and it is presented in a report that is
thorough and well-written. Baisero has developed a new type of feature
space for sequential data implicitly defined through an inner-product.
This is an important area of theoretical research, related to Artificial
Intelligence and in particular Machine Learning, where results are
applicable in many application domains where data naturally is presented
in terms of sequential structures, such as bioinformatics, Internet
security and language processing. The results are novel and presents a
significant contribution towards dealing with sequential data.”

Det vinnande exjobbet finns tillgängligt här. Vinnaren kommer att presentera sitt arbete vid SCAI 2013.

Totalt fick SAIS styrelse in 5 nomineringar till årets pris. Varje exjobb utvärderades av tre oberoende granskare, varefter styrelsen utsåg en vinnare baserat på granskningsresultaten. De nominerade var

  • Shameem Ahamed Puthiya Parambath, Umeå universitet – “Topic Extraction and Bundling of Related Scientific Articles” (Nominerad av: Henrik Björklund)
  • Andrea Baisero, KTH – “Encoding Sequential Structures using Kernels – Path-Based Feature Space Embeddings for Sequential Data.” (Nominerad av: Danica Kragic)
  • Ayne Beyenes och Tewelle Welemariams, BTH – “Concept Drift in Surgery Prediction” (Nominerad av: Niklas Lavesson och Marie Persson)
  • Karl Jansson, Stockholms universitet – “Performance study of using the Direct Compute API for implementing Support vector machines on GPUs” (Nominerad av: Henrik Boström)
  • Anders Westling, KTH – “Sentiment Analysis of Microblog Posts from a Crisis Event using Machine Learning” (Nominerad av: Joel Brynielsson)

Eva Blomqvist
Sekreterare, SAIS

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Renässans för Artificiell Intelligens

Området Artificiell Intelligens är sedan ett antal år föremål för ett kraftigt ökande intresse.

Resultaten från de första snart sextio åren av forskningsfältet artificiell intelligens har fått ett blandat bemötande. Å ena sidan menar många kritiker att trots de enorma summor forskningsmedel som lagts ner inom området under denna tid, så har inte de storslagna löftena om datorer som beter sig intelligent infriats.

Å andra sidan splittrades fältet relativt omgående upp i ett antal subdiscipliner: kunskapsrepresentation, maskininlärning, planering, datorseende, taligenkänning, naturligt språk, robotik, och många fler. Inom varje område har stora framsteg gjorts, och datorer har stadigt lyckats klara av fler och fler saker som tidigare krävt mänsklig inblandning. De utvecklade teknikerna har smugit sig på oss i vardagen utan att vi knappt märkt det: telefoner och telefonsvarare som man kan prata med, program som känner igen ansikten, gps:er som kan rekommendera snabbaste väg, gräsklippare och dammsugare som sköter sig själva, och hjälp med översättning mellan olika språk. I industrin finns ännu fler exempel på metoder som hjälper till att planera, optimera, reglera, och övervaka. De flesta av dessa hjälpmedel som översvämmar vår vardag stammar på något sätt från forskningen inom artificiell intelligens. Men det finns ett problem: Ingen av metoderna uppfattas som “intelligent”. De bygger “bara” på matrismultiplikation, statistik, mer eller mindre dum genomsökning av massa alternativ, diverse ingenjörsmässiga trick och knep, slimmad design, nya material, snabbare datorer, större minnen, och allt mer ihopkopplade system. Metoderna må vara användbara, men de uppfattas inte som intelligenta på samma sätt som en människa.

Så trots denna sannerligen enorma rad av succehistorier, så hade till för några år sedan hade begreppet artificiell intelligens en ganska negativ klang. Den intelligens man hade utlovat att på några få månader kunna härma med datorer, lyste fortfarande med sin frånvaro. Ännu hade ingen dator på allvar kunnat konkurera med verklig mänsklig kompetens. Men 2005 hände plötsligt något: Ett antal helt autonoma robotbilar hade lyckats ta sig genom ett ökenlandskap i USA (http://en.wikipedia.org/wiki/DARPA_Grand_Challenge). 2007 upprepades bedriften i (en för ändamålet uppbyggd) stadsmiljö där bilarna var tvungna att följa trafikregler. Sedan 2012 tillåter flera delstater i USA att autonoma bilar kör i den
vanliga trafiken (http://en.wikipedia.org/wiki/Google_driverless_car). Och 2011 hände något igen: Datorsystemet Watson lyckades vinna i finalen över människor i Jeopardy (http://www-03.ibm.com/innovation/us/watson). Plötsligt har opinionen vänt, och begreppet artificiell intelligens har fått återupprättelse. Men hur gick det till, vad är det för banbrytande upptäckt som plötsligt gjort dessa bedrifter möjliga?

Hemligheten är inte en enda upptäckt. De nämnda exemplen är hybridsystem som kombinerar tekniker från flera olika discipliner. Robotbilarna kräver reglerteknik, mekanik, datorseende, lokalisering, och planering. Watson innehåller komponenter från kunskapsrepresentation, ontologier, taligenkänning, naturligt språk-hantering, söktekniker, och maskininlärning. Kanske är det så att mänsklig “intelligens” inte heller är en enda förmåga, utan samverkan mellan flera olika. Var och en av de nämnda AI-områdena har kämpat med sina små delproblem, var och en inte uppfattad som särskilt intelligent. Först nu börjar vart och ett av områdena att bli tillräckligt mogna. Och när man nu sätter ihop dem till en samverkande helhet kan man få ett resultat som till och med kan bräcka en människa i vad som uppfattas som “intelligenta” förmågor. Vi har säkert bara sett början på detta – fler exempel kommer att följa i en accelererande takt.

Hela denna historia är samtidigt ett slående exempel på nyttan av grundforskning. Stora delar av AI-området har finansierats med långsiktiga medel utan krav på omedelbar tillämpbarhet. Efter ett antal “hypes” med högt uppskruvade förväntningar började finansiärerna dock tröttna, och många misströstade om att AI-forskningen skulle kunna leda till något användbart. Men när man höjer blicken så har användbara saker sipprat ut under lång tid, för att nu genomsyra hela samhället, om än kanske inte på det sätt som ursprungligen förväntats. Grundforskning är nödvändig om man vill komma framåt, och kan leda till verkligt genomgripande förändringar i samhället, men man måste ha tålamod innan man kan se resultaten.

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The SAIS AI Master’s Thesis Award 2013 – Call for nominations

In order to stimulate work in the area of artificial intelligence at
the undergraduate level of education, SAIS has created a special
yearly award for the best Master’s thesis (examensarbete) in the area
of artificial intelligence. The winner will be awarded travel funds of
5000SEK, and is in addition expected to attend the SCAI 2013 conference
to present the winning contribution (travel, hotel and registration paid by SAIS).

To nominate a Master’s Thesis for the award, the following rules apply:

  • The thesis is in one of the main areas of artificial intelligence research.
  • The thesis has been presented officially during the period of  January 1, 2012 – January 31, 2013.
  • An electronic copy of the thesis (PDF or Postscript) and a short written motivation by the official examiner or primary supervisor should be sent to the secretary of SAIS, Eva Blomqvist (evabl444<snabela> gmail.com – include the terms “SAIS” and “Master’s Thesis award” in the subject line), no later than February 28, 2013.  The nomination should include a short motivation why the thesis should be selected as the winner and state its contributions to AI.
  • The nominating person must be a member of SAIS.
  • Only one thesis nomination per nominating person is permitted.

The SAIS board will review the nominated Master’s theses and determine
a winner based on factors such as novelty, thoroughness, readability,
scientific value and relevance to artificial intelligence both with
respect to research and to potential applications. The decision by the
SAIS board will be final. The selected winner will be announced latest in early
June, and the prize will be awarded during the SCAI conference in Aalborg,
November 20-22 2013, where the winner will be expected to give a short
presentation about their work.

Fredrik Heintz – President of SAIS
Eva Blomqvist – Secretary of SAIS

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Patrick Doherty New President of ECCAI

It is my great pleasure to inform you that Patrick Doherty, Linköping University, is the new president of ECCAI, the European Coordinating Committee for Artificial Intelligence.

Congratulations Patrick!

Fredrik Heintz President of SAIS

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