SAIS Best AI Master’s Thesis Award 2016

The SAIS board is happy to award Frej Knutar, Uppsala University, the 2016 SAIS Master’s Thesis Award, with the following motivation:

The award goes to Frej Knutar for his thesis entitled “Automatic Generation of Assembly Schedules For a Dual-Arm Robot Using Constraint Programming”. The thesis is well-written and of high quality, and it presents a highly relevant practical application of constraint-based models for the task sequencing of a two-armed robotic manufacturing cell. The solution is guaranteed to avoid arm collisions. It is also cyclic, meaning that one arm can start the next assembly while the other arm i finishing the previous one, which results in a high throughput. The solution is related to a real-world problem where such scheduling is currently most often done manually, which requires highly skilled engineers and takes anywhere from days to weeks to complete, while the proposed solution will complete within a matter of hours.

The thesis report is available here:
http://uu.diva-portal.org/smash/record.jsf?pid=diva2%3A902553

The thesis was presented at Uppsala University, and nominated by Pierre Flener, who also supervised the thesis. Industry supervisor at ABB was Johan Wessén.

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SAIS 29th annual Workshop in Malmö

Flygfoto-Malmö-Skåne

The 29th annual workshop of the Swedish Artificial Intelligence Society (SAIS) will take place in Malmö, Sweden on June 2-3, 2016. The SAIS workshop provides an ideal forum for contacts among AI researchers and practitioners in Sweden and neighboring countries, as well as for establishing links with related research disciplines and industry.

The purpose of the SAIS workshop is:

  • To give PhD students an opportunity to present their research to a friendly and knowledgeable audience and receive valuable feedback.
  • To provide a forum for established researchers and practitioners to present past and current research contributing to the state of the art of AI research and applications.
  • To provide an informal social event where AI researchers and practitioners can meet.

SAIS 2016 welcomes both theoretical and applied contributions from all areas of AI, including (but not limited to) traditional topics such as search, machine learning, planning, knowledge representation, reasoning, natural language processing, and multi-agent systems. We specifically encourage submissions that cut across these areas and submissions on AI techniques in the context of novel application domains, such as security, sustainability, health care, transportation, Internet of Things, and commerce.

We invite two types of contributions to the SAIS workshop:

  • Original research papers. We explicitly encourage submission of relevant papers that are currently under review.
  • Position papers from research groups or companies.

The main purpose of position papers is to communicate research activities of individuals and groups in Sweden and neighboring countries. Such papers should describe current research/application challenges or current research/application endeavors.

All papers will be carefully reviewed by the program committee. Accepted papers will be published in the electronic workshop proceedings. Copyright stays with the authors and authors of previously unpublished papers accepted to the SAIS workshop are encouraged to submit these to other workshops or conferences. Before putting together the final electronic proceeding authors will be asked to confirm that they want to have their papers included in the proceedings.

All submissions should be in PDF and must be written in English. All papers should be submitted through EasyChair.

  • Original papers are not to exceed ten (10) pages, including all figures and references, in two-column A4 article format with 10pt font (detailed instructions are provided on the workshop webpage). Papers may be accepted for oral presentation or as posters.
  • Position papers are limited to six (6) pages.

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Notice of the Swedish AI Society’s annual meeting 2016 / Kallelse till Svenska AI-sällskapets årsmöte

Flygfoto-Malmö-Skåne

Kallelse till Svenska AI-sällskapets årsmöte

Alla medlemmar i SAIS är härmed kallade till årsmöte den 2 juni kl
17:00-c:a 18 i samband med den SAIS workshop i Malmö
(http://www.sais.se/sais2016).

Vi hoppas att som många som möjligt kan delta och ser fram emot ett
välbesökt årsmöte.

Preliminär dagordning:
1.  Mötets öppnande
2.  Val av mötesordförande
3.  Val av mötessekreterare
4.  Val av justeringsperson
5.  Dagordningens fastställande
6.  Exjobbspris 2016
7.  SAIS webbsida
8.  SAIS information
9.  ECCAI information
10. Ekonomisk redovisning för 2016
11. Revisionsberättelse
12. Ansvarsfrihet för styrelsen verksamhetsåret 2016
13. Val av styrelse för verksamhetsåret 2017
14. Val av revisor för verksamhetsåret 2017
15. Val av valberedning för verksamhetsåret 2017
16. Fastställande av medlemsavgift 2017
17. Budget för verksamhetsåret 2017
18. SAIS Workshop 2017
19. Övriga frågor
20. Mötes avslutande

Välkomna!
Fredrik Heintz
Ordförande SAIS

Translation:

Notice of the Swedish AI Society’s annual meeting

All members of SAIS are hereby called to the Annual Meeting on June 2 at 17: 00 – about 18 in connection with the SAIS workshop in Malmö
( Http://www.sais.se/sais2016 ) .

We hope that as many people as possible can participate and look forward to a well-attended annual meeting.

Provisional agenda :

1. Opening of the meeting
2. Election of Chairman
3. Election of Meeting Secretary
4. Election of Attestant
5. Fixing Agenda
6. Thesis Award 2016
7. SAIS web
8. SAIS information
9. ECCAI information
10. Financial Report for 2016
11. Audit Report
12. Discharge of the Board the financial year 2016
13.Election of Board of Directors for fiscal year 2017
14. Election of the auditor for fiscal year 2017
15. Election of Nomination Committee for fiscal year 2017
16. Determination of the membership in 2017
17. Budget for the financial year 2017
18. SAIS Workshop 2017
19. Other matters
20. Meeting Closure

Welcome!

 

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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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