News: Centre CHAIR related to Chalmers University of TechnologyTue, 13 Apr 2021 15:20:48 +0200 Europe Calling!<p><b>A webinar on opportunities for AI research in the upcoming European Framework Programme.  ​</b></p><span>Come listen to an inspirational webinar about opportunities for AI research in the new European Framework Program – Horizon Europe! This webinar is hosted by CHAIR, Chalmers AI Research Centre and led by Magnus Andersson, </span><span style="background-color:initial">Finance E</span><span style="background-color:initial">xpert at IMCG International, who will introduce and walk you thorugh the largest R&amp;I programme in Horizon Europe. For example:</span><p><span style="background-color:initial"><br /></span></p> <p></p> <ul><li><span style="background-color:initial">When and how to enter</span></li> <li><span style="background-color:initial">When it will be relevant</span></li> <li>Relevant AI calls</li> <li><span style="background-color:initial">Details on 2021 and early 2022</span></li> <li>Horizon Europe CHAIR support<span style="background-color:initial"> <br /><br /></span></li></ul> <p><span style="background-color:initial"></span><span style="background-color:initial"><strong>Special guest from Chalmers</strong><br />Kasper Moth Paulsen, professor of Chemistry and Chemical Engineering and head of Division Applied Chemistry at Chalmers,</span><span> will be joining the webinar to present his EC Horizon journey, lessons learned and highlights. Kasper is coordinating Molecular Solar Thermal Energy Storage Sytems, a 4.2 M</span><span>€ Horizon 2020 project, aimed at developing and demonsrtrating a zero-emission solar energy storage system based on benign, all-renewable materials.</span></p> <div><span style="font-family:lato, helvetica, arial, sans-serif;background-color:initial"><br /></span></div> <p><strong style="background-color:initial">Save the date:</strong><span style="background-color:initial"> Monday, 3rd of May, at 13–15 CET.</span><br /></p> <div><p><strong><a href="" target="_blank"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" />Link to registration</a></strong></p> <div>Zoom link will be sent out to registered participants.<br /></div> <p></p> <div><br /></div> <p><strong style="background-color:initial"><br /></strong></p> <p><strong style="background-color:initial">About the speaker</strong><br /></p> <p><strong><img src="/en/centres/chair/news/Documents/Namnlös.jpg" alt="Namnlös.jpg" class="chalmersPosition-FloatRight" style="margin:0px;width:124px;height:174px" /></strong></p> <p><span lang="EN-US"><strong>Magnus Andersson,</strong> is co-owner and co-founder of the innovation company </span><span lang="EN-US" style="background-color:initial">IMCG – Impact Management Consulting Group. Magnus has in the past two decades worked as manager, coordinator and business development leader for 50+ large international and national R&amp;I projects and programmes within Machine Learning, Sustainable Cities, <br />Energy and Transport and mobility as well as Cities and Buildings, including the design <br />and development of three Lighthouse projects, CELSIUS, IRIS, SharingCities. <br /><br /></span></p> <p><br /></p> <p><strong style="background-color:initial">Prof. Kasper Moth Paulsen</strong><br /></p> <p><span style="background-color:initial"><strong><a href="/en/Staff/Pages/kasper-moth-poulsen.aspx">Kasper Moth-Poulsen​</a>,</strong> is a research leader in the field of nano-chemistry, energy storage materials and synthetic chemistry. His research activities focus on the development of methods to address single molecules and innovative technologies for solar thermal energy storage. The objective is to make materials from nanoparticles, nanorods and tailor made small molecules for a broad range of applications ranging from single molecule electronics to sensors and renewable energy technologies. </span></p> <p><span lang="EN-US"><br /></span></p> <p><span lang="EN-US"><a href="">Click here to go to IMCG's website</a></span></p></div>Tue, 13 Apr 2021 00:00:00 +0200 annual report 2020<p><b>​Each year we publish an Annual Report, which outlines the research, activities and projects in the previous year. ​</b></p><a href="/en/centres/chair/news/Documents/Chalmers_AI_Research_Centre_Annual_report_2020_210331.pdf" target="_blank"><img class="ms-asset-icon ms-rtePosition-4" src="/en/centres/chair/news/_layouts/images/icpdf.png" alt="Chalmers_AI_Research_Centre_Annual_report_2020_210331.pdf" />Click here to read the Chalmers AI Research Centre Annual Report 2020</a>Wed, 31 Mar 2021 13:00:00 +0200 granted CHAIR Consortium 1-and 2-year Projects 2021<p><b>Ten projects have been granted funding by the CHAIR Consortium.</b></p>​<span style="background-color:initial">Approximately 10 MSEK have been granted to the ten approved proposals. In addition, partners will contribute with 23 MSEK in kind.</span><div><span style="background-color:initial"></span><span style="color:rgb(33, 33, 33);font-family:&quot;open sans&quot;, sans-serif;font-size:16px;font-weight:600;background-color:initial">​</span></div> <div><span style="color:rgb(33, 33, 33);font-family:&quot;open sans&quot;, sans-serif;font-size:16px;font-weight:600;background-color:initial">AI-projects with grants from The Swedish Research Council  </span><div><span style="background-color:initial"><br /><b>Miroslaw Staron <br /></b></span><span style="background-color:initial">Mic</span><span style="background-color:initial">roHRV</span><span style="background-color:initial"></span><span style="background-color:initial"> - Finding Rare Events in High Dimension Data Strams - Stroke Patients and telecommunication Networks</span></div> <p><span><br /></span></p> <p><span><strong>D</strong></span><span><strong>h</strong></span><span><strong>asa</strong></span><span><strong>ranthy</strong></span><span><strong></strong></span><span><strong> Parthasarathy, Cecilia Ekelin, Darko Durisic and Jennider Horkoffw</strong></span><span><span><b> <br /></b></span></span><span style="background-color:initial">T</span><span style="background-color:initial">ransforming Automotive Architecture with assistance from AI</span></p> <p><span style="background-color:initial;font-family:&quot;open sans&quot;, sans-serif"> <br /></span><span><strong>H</strong></span><b>enk</b><b></b><b> Wymeersch and Lennart Svensson<br /></b><span style="background-color:initial">6</span><span style="background-color:initial">G Artificial Intelligence Rad</span><span style="background-color:initial">ar</span></p> <p><span><br /></span></p> <p><span><strong>Jajia Chen, Lena Wosinska and Jun Li</strong></span><span><b> <br /></b></span><span style="background-color:initial">Multi-</span><span style="background-color:initial">thread Federated Learnin</span><span style="background-color:initial">g</span><span style="background-color:initial"> </span></p> <p><span style="background-color:initial;font-size:12pt"><br /></span></p> <p><span><b>Wosinska Erik Kristiansson, Lisa Helldal, Anna Johnning, Ingered Aldberberth and Mats Jirstrand <br /></b></span><span style="background-color:initial">F</span><span style="background-color:initial">ederated DIRE – Diagnostics of antibiotic-resitant bacteria using artificial intelligence</span></p> <p><span><br /></span></p> <p><span><strong>Chen </strong></span><b>Karinne Ramirez-Amaro, Emmanuel Dean, Kristofer Bengtsson, Lauri Vänttinen and Abhshek Shetty ​<br /></b><span style="background-color:initial">F</span><span style="background-color:initial">ederated CRAFT-Collaborative-Robot Assistant for Technici</span><span style="background-color:initial">ans </span></p> <p><span style="background-color:initial;font-family:&quot;open sans&quot;, sans-serif"><br /></span></p> <p><span><strong>Yiann</strong></span><span><strong>is</strong></span><span><strong>Kar</strong></span><b>ayiannidis</b><b></b><b>, Knut Åkesson, Yasemin Bekiroglu and Per-Lage Götvall <br /></b><span style="background-color:initial">A</span><span style="background-color:initial">I-enhanced Mobile Manipulation Robot for Core Industrial Applications -- AMCoR</span></p> <p><span><br /></span></p> <p><span><b>Ahmed Ali-Eldin, Ola Angelsmark and Per-Lage Götvall<br /></b></span><span style="background-color:initial">Me</span><span style="background-color:initial;font-family:&quot;open sans&quot;, sans-serif">ms</span><span style="background-color:initial;font-family:&quot;open sans&quot;, sans-serif"></span><span style="background-color:initial;font-family:&quot;open sans&quot;, sans-serif">: Managing Edge Machine Learnins at Scale</span></p> <p><span style="background-color:initial;font-family:&quot;open sans&quot;, sans-serif">​<br /></span><span><strong>K</strong></span><span><strong>un Gao, Xiaobo Qu, Jiaming Wu anc Changfu </strong></span><span><strong>Zo</strong></span><span><b>u</b></span><span><b></b></span><span><b><br /></b></span><span style="background-color:initial">M</span><span style="background-color:initial">anaging AI-cloud-based Vehiicle Managment Strategies for Electrified Vehi</span><span style="background-color:initial">cles </span></p> <p><span><br /></span></p> <p><span><strong>Magnus Andersson, Marina Axelson-Fisk and Richard</strong></span><span><b> Torkar <br /></b></span><span style="background-color:initial">Repeated-Decision support via Interpretabl Machine Learning</span></p> <p><span style="background-color:initial;font-family:&quot;open sans&quot;, sans-serif;font-size:14px"><br />Here was the call (the deadline has passed)<br /><br /></span></p> <p><span style="background-color:initial;font-family:&quot;open sans&quot;, sans-serif;font-size:14px"><a href="/en/centres/chair/news/Pages/Call-for-CHAIR-Consortium-Projects-2021.aspx" target="_blank"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/ichtm.gif" alt="" />Call for CHAIR Consortium 1- and 2- year Projects 2021​</a></span></p> </div> <style> .ExternalClass p.MsoNormal, .ExternalClass li.MsoNormal, .ExternalClass div.MsoNormal {margin:0cm;margin-bottom:.0001pt;font-size:12.0pt;font-family:"Calibri",sans-serif;} .ExternalClass p {margin-right:0cm;margin-left:0cm;font-size:12.0pt;font-family:"Times New Roman",serif;} .ExternalClass .MsoChpDefault {font-family:"Calibri",sans-serif;} @page WordSection1 {size:612.0pt 792.0pt;margin:70.85pt 70.85pt 70.85pt 70.85pt;} .ExternalClass div.WordSection1 {page:WordSection1;} </style>Mon, 08 Mar 2021 13:00:00 +0100 Announces Call for NESTs<p><b>​WASP now announces a call for NESTs within AI, Autonomous Systems and Software. NEST is a new instrument in WASP that will encourage Novelty, Excellence, Synergy, and Teams.</b></p><h2 class="chalmersElement-H2">Aim and scope of the call </h2> <div>In this call WASP accepts applications from all the five partner universities Chalmers University of Technology, Linköping University, Lund University, KTH Royal Institute of Technology, and Umeå University as well as the research groups at Örebro University and Uppsala University that are members of WASP. <br /></div> <div><br /></div> <div>A NEST should address a specific strategic high-priority research challenge within WASP with international impact and visibility that requires the gathered competence of a multi-disciplinary team of investigators in order to be solved. The novelty and originality aspects and the relevance to Swedish industry are important.</div> <div><br /></div> <div>The call is open, and the deadline for applications is March 1, 2021. <br /></div> <div><br /></div> <div><a href="">To the call</a><br /></div> <br /><br /><div><em>Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program, a major national initiative for strategically motivated basic research, education, and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information, and knowledge, and forming intelligent systems-of-systems.</em></div> <a href=""></a>Fri, 18 Dec 2020 10:00:00 +0100 projects at Chalmers receive grants from the Swedish Research Council<p><b>Four researchers from four different departments at Chalmers were successfull in obtaining grants for AI-related projects from The Swedish Research Council (VR) within natural and engineering sciences. CHAIR congratulates Philippe Tassin, Robert Feldt, Christian Häger and Ross King​.</b></p><h3 class="chalmersElement-H3">​​AI-projects with grants from The Swedish Research Council  </h3> <div><br /></div> <div><strong>Robert Feldt, Department of Computer Science and Engineering </strong><br />Automatiserad testning av gränser för kvalitet på AI/ML modeller <br />SEK 2 180 000 </div> <div><br /></div> <div><div><strong>Christian Häger, Department of Electrical Engineering </strong><br />Fysikbaserad djupinlärning för optisk dataöverföring och distribuerad avkänning <br />SEK 4 000 000 </div> <div><br /></div> <div><strong>Ross King, Department of Biology and Biological Engineering </strong><br />Closed-loop inlärning av genome-scale metaboliska modeller med hjälp av Robot Forskaren Genesis <br />SEK 3 800 000</div> <div>​</div></div> <div> </div> <div> <strong>Philippe Tassin, Department of Physics </strong><br />Utveckling av nya fotoniska metaytor med hjälp av artificiell intelligens <br /> SEK 3 700 000 </div> <div><br /></div> <div><strong>Read more:</strong></div> <div><br /></div> <div><a href="/en/news/Pages/43-Chalmers-researchers-receive-funding-for-more-research.aspx">43 Chalmers researchers receive funding for more research &gt;</a><br /></div> <div><br /></div> <div>Pressrelease in Swedish from the Swedish Research Council: <br /><a href="" target="_blank">1,1 miljarder till naturvetenskap och teknikvetenskap &gt;​</a> (29 Oct)<br /></div> <div></div>Sun, 15 Nov 2020 00:00:00 +0100 AI detect early signs of stroke?<p><b>Can AI help detect oxygen deficiency in the brain leading to stroke? Researchers at Sahlgrenska University Hospital and the Department of Computer Science and Engineering will investigate this in a clinical research project starting in October.</b></p><div>”This is clinical research at its best”, says Helena Odenstedt Hergès, chief physician at Sahlgrenska University Hospital and adjunct university lecturer at Sahlgrenska Academy. <br /></div> <div><br /></div> <div>In an anesthetized patient, for example, the heart can signal that something is not right in the brain. These are subtle changes in signals, and they are difficult to detect. Now researchers want to find out if AI can be used to track and possibly help prevent an upcoming stroke in anesthetized patients. The method could be developed into a warning system that sets off an alarm when patients under anesthesia develop a lack of oxygen in the brain with a stroke as a result. These may be critically ill patients in intensive care, anesthetized patients and patients who have already developed stroke, but also other patient groups.</div> <div><br /></div> <div>”Can threatening oxygen deficiency in the brain be detected based on other physiological signals, by analyzing large amounts of data through AI? The research aims to detect and possibly prevent oxygen deficiency in the brain of, among others, anesthetized patients. A doctor can’t analyze all the data registered from a patient, but it is for AI can”, says Helena Odenstedt Hergès.</div> <div><br /></div> <div> Researchers in the Software Engineering division at the Department of Computer Science and Engineering will work to develop a prediction model that can warn doctors when patterns occur that may be signs of oxygen deficiency in the brain that could develop into stroke. They will mainly use supervised learning and develop a chain of algorithms where the reliability of the results increases with each step. ”For me, the project is important to gain a better understanding of the challenges of developing AI-based software in healthcare. By being in a hospital environment, and observing clinical work, I can study how to secure data and algorithm quality in healthcare software, says Miroslaw Staron, professor in the Software Engineering division. <br /></div> <div><br /></div> <div>The formulated research project that starts this autumn is a collaborative project dependent on several competencies, clinically active doctors and researchers in technology and software development. Among others Professor Miroslaw Staron, Department of Computer Science and Engineering, University of Gothenburg/Chalmers University of Technology, Professor Silvana Naredi, Professor Mikael Elam, Med Dr Linda Block, Med Dr Jaquette Liljenkrantz, Leg doctor Ali El Merhi, Leg doctor Richard Vithal, SU , SA. </div> <div><br /></div> <div>The project is partially financed by <a href="/en/centres/chair/Pages/default.aspx">CHAIR – Chalmers AI Research Center</a>. <br /></div> <h2 class="chalmersElement-H2">Contact:</h2> <div> E-post: <a href=""></a><br />Telefon: 031-772 10 81 <br /></div> <h2 class="chalmersElement-H2">Facts about the study: </h2> <ul><li>The study has not been done before and is registered in Clinical trials (NCT03919370). </li> <li>The study is ethically tested and approved, and starts in October 2020. </li> <li>The study protocol is published in Acta Anaesthesiologica Scandinavica 2020; 64 (9): 1335-1342. Cerebral ischemia detection using artificial intelligence (CIDAI) - A study protocol. </li></ul> <div><br />The current study does not affect the patient other than the team collects their data from existing clinical monitoring methods and then analyzes it with AI. In a first pilot study with 20 patients, the research team focuses on analyzing changes in patterns in recorded data in relation to the development of oxygen deficiency in the brain. </div>Thu, 15 Oct 2020 00:00:00 +0200 for CHAIR Consortium 1- and 2-year Projects 2021<p><b>​​New call for 1- and 2-year projects starting 2021. The call is open for proposals supported by core partners from the consortium of Chalmers AI Research Centre​ (CHAIR).</b></p><h3 class="chalmersElement-H3">​​Important dates</h3> <div><div><ul><li>Submission due : Dec 15, 2020 (the date is firm)</li> <li>Notification: Feb , 2021</li> <li>Project start: April 1st 2021</li> <li>Project end (first year): March 31st, 2022 </li></ul> <span style="background-color:initial">The CHAIR Consortium consists of the following core partners: Chalmers, Volvo Group, CEVT, Volvo Cars, Ericsson and Sahlgrenska University Hospital. While the application domains of the partners are diverse, they all face a set of common challenges in developing AI/ML solutions, which are addressed in this call. This call for 1- and 2-year projects asks for novel research ideas and solutions that address these common challenges and are of interest for the consortium partners. </span></div> <div><span style="background-color:initial"><br /></span></div> <div><span style="background-color:initial">A budget per project is up to 600 kSEK/year. Two-year projects will be approved for one year and conditionally for the second year after the evaluation from the first year. The total budget of this call will be sufficient for 6-8 projects. </span></div> <div><span style="background-color:initial"><br /></span></div> <div><span style="background-color:initial"> The proposals must be supported from at least one core partner. A letter of intent from a core partner is required.  (<em>Note: It is OK to get  an informal  Letter of Intent from the unit manager that will have the resposibility for the involvment in the project</em>) A contribution in kind or in cash from core partners is preferable. Chalmers institutions, as defined for all CHAIR projects, need to contribute 10% of the budget in kind. </span></div> <div><span style="background-color:initial"><br /></span></div> <div><span style="background-color:initial"> Applications that build teams with a good gender balance are encouraged. </span></div> <div><span style="background-color:initial"><br /></span></div> <div><span style="background-color:initial"> The proposal topics should be in the area of AI, or AI-related area. The project can be of fundamental-AI character, or Applied AI with emphasis of a combination AI with other fundamental research areas (AI enablers), or a use of AI in a particular domain. </span></div> <div><span style="background-color:initial"><br /></span></div> <h3 class="chalmersElement-H3"><span> Requirements</span></h3> <div><span style="background-color:initial"><ul><li><span style="background-color:initial">Eligible applicants are Chalmers researchers including GU employees at shared departments (MV and CSE). PhD students or master students from Chalmers, or GU from the education programs at shared departments can be included in the project.</span></li> <li><span style="background-color:initial">The budget should not exceed 600 kSEK per year including indirect costs (OH). It can cover personnel costs, and other costs up to 10% of the project budget, excluding equipment. Further, 10% funding in kind is requested from the department hosting the project.</span></li> <li><span style="background-color:initial">The proposal should follow the formats and outline defined in two templates and the letter(s) of intent. Incomplete proposals, or proposals that do not follow the defined format and size of the templates will be desk-rejected.</span></li> <li><span style="background-color:initial">A researcher can only be part of one proposal. </span></li></ul></span></div> <h3 class="chalmersElement-H3"><span>Submission and notification </span></h3> <div><span style="background-color:initial">The proposals should be submitted as one PDF file consisting of the following parts </span></div> <div><ol><li><span style="background-color:initial"><a href="/SiteCollectionDocuments/Centrum/CHAIR/CHAIR_1-2year_Project-proposal-template.docx" target="_blank"><span>Chair Project proposal form</span></a> - one page (Word template) </span></li> <li><span style="background-color:initial"><a href="/en/centres/chair/news/Documents/CHAIR%201-2%20years%20Project%20Plan%20Template.docx">Project Plan</a> - max 5 pages, including ethical considerations (Word template) </span></li> <li><span style="background-color:initial">CVs of main applicants - one page per applicant </span></li> <li><span style="background-color:initial"><a href="/SiteCollectionDocuments/Centrum/CHAIR/CHAIR-Letter-of-intent.docx" target="_blank">Letter of Intent​</a> (Word template) </span></li></ol> ​<br /><span style="background-color:initial">The proposal should be submitted as a PDF-file containing all above documents to Easychair.</span></div> <div><span style="background-color:initial"><a href="" target="_blank"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" />Submit your PDF proposal to Easychair​</a></span></div> <div><span style="background-color:initial"><br /></span></div> <div><span style="background-color:initial"> Upon notification, the PIs should prepare and sign the project contract with the CHAIR Consortium. The manager of the PI (Head of Unit or head of department) at Chalmers will also sign the contract. </span></div> <div><span style="background-color:initial"><br /></span></div> <h3 class="chalmersElement-H3"><span> Evaluation Criteria </span></h3> <div><ul><li><span style="background-color:initial">The research novelty of the proposal.</span></li> <li><span style="background-color:initial">The involvement of the core partners. Involvement of several core partners will be prioritized.</span></li> <li><span style="background-color:initial">The relevance for core partners (including the number that found it relevant).</span></li> <li><span style="background-color:initial">The possible impact of the research to the research field. </span></li> <li><span style="background-color:initial">The expected research results, and the potential of the research results for further research or utilization. </span></li> <li><span style="background-color:initial">The feasibility of the project plan. </span></li> <li><span style="background-color:initial">The ability of the project members to deliver the results. </span></li> <li><span style="background-color:initial">The ethical reasoning. </span></li></ul> <br /><span style="background-color:initial">The proposals will be evaluated by a CHAIR independent review team and the decision of funding will be taken by the CHAIR Core Partners Board, and approved by CHAIR steering committee. </span></div> <div><span style="background-color:initial"><br /></span></div> <h3 class="chalmersElement-H3"><span> Contact Information </span></h3> <div>Contact information and possible questions: <br /><ul><li>The call general questions can be sent to Ivica Crnkovic (<a href=""></a>) or Kolbjörn Tunström (<a href="" target="_blank"></a>).</li> <li>For questions related to the ethical aspects of the proposal you can contact Olle Häggström (<a href="">​</a>). </li> <li>To contact Core partners for particular questions related to the project proposal you can contact </li> <ul><li>CEVT: <a href="">Shafiq Urréhman​</a></li> <li><a href=""></a>Ericsson: <a href="">Aneta Vulgarakis</a> </li> <li>Sahlgrenska University Hospital: <a href="">Anders Hyltander</a> </li> <li>Volvo Cars: <a href="">Erik Hjerpe</a> </li> <li>Volvo Group: <a href="">Jenny Erneman​</a></li></ul></ul></div></div> Mon, 12 Oct 2020 11:00:00 +0200 call: Affiliated WASP PhD Student Positions in AI<p><b>​The purpose of the call is to provide the opportunity for PhD students not funded by WASP to be part of the WASP Graduate School.</b></p>​<span style="background-color:initial">The Wallenberg AI, Autonomous Systems and Software Program announces a call for up to 15 affiliated WASP AI PhD student positions within AI at the five partner universities Chalmers, KTH, Linköping University, Lund University and Umeå University as well as the research groups at Örebro University and Uppsala University that are members of WASP AI. </span><div><br /></div> <div><span style="background-color:initial">To t</span><span style="background-color:initial">he </span><span style="background-color:initial">call: </span><a href="">Affiliated WASP PhD Student Positions in AI​</a><br /></div> <div></div> <div><br /></div> <div><br /></div> <div><span style="background-color:initial">C</span><span style="background-color:initial">halmers' representative in WASP: <a href="/en/Staff/Pages/crnkovic.aspx">Ivica Crnkovic​​</a></span><br /></div> <div><span style="background-color:initial"><br /></span></div> <div><em>Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program, a major national initiative for strategically motivated basic research, education, and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information, and knowledge, and forming intelligent systems-of-systems. </em><br /></div> <a href="" target="_blank"><div></div></a>Fri, 25 Sep 2020 08:00:00 +0200 resource for AI research<p><b>A new resource for Artificial Intelligence and Machine Learning AI/ML research has recently opened at C3SE, the national centre for scientific and technical computing at Chalmers.</b></p><div><p class="p1" style="font-stretch:normal;font-size:12px;line-height:normal;font-family:helvetica"><span style="background-color:initial;font-family:&quot;open sans&quot;, sans-serif;font-size:14px">T</span><span style="background-color:initial;font-family:&quot;open sans&quot;, sans-serif;font-size:14px">he system is built around Graphical Processing Units (GPU:s) accelerator cards, and consists of two types of compute nodes with multiple Nvidia GPU:s each. The new cluster is named Alvis and is dedicated for AI/ML research.   </span><br /></p></div> <div><div><br /></div> <div>The Alvis system at C3SE is a part of the Swedish National Infrastructure for Computing, SNIC and financed by WASP (The Wallenberg Artificial Intelligence, Autonomous Systems and Software Program) together with SNIC.    </div> <div><br /></div> <div>At the end of August phase 1 of the project was going into production after a test period. This means the system is now open for project assignments. </div> <div><br /></div> <div>Thomas Svedberg at Chalmers e-Commons/C3SE and project leader for the SNIC AI/ML project, has already seen several applications regarding using Alvis. <br /><span style="background-color:initial">– This is the only dedicated AI/ML system within SNIC and I think we will see a lot of applications.   </span></div> <div><span style="background-color:initial"><br /></span></div> <div><span style="background-color:initial">Researchers from all Swedish universities as well as research institutes can use Alvis and the other SNIC resources. To use SNIC resources you need to be a member of a corresponding SNIC project. To apply for a project visit the SUPR portal (see below).  </span></div> ​<div><br /></div> <a href="" target="_blank" title="C3SE about Alvis">More about Alvis from C3SE &gt; </a><div>​<a href="" target="_blank" title="SUPR portal for projects using SNIC resources">SNIC project portal, SUPR &gt;​</a></div></div>Wed, 09 Sep 2020 14:00:00 +0200 researchers address the question – how does it work?<p><b>​Researchers around the world are focusing on the task of finding a theoretical framework that can explain how deep learning works in practice. Professor Giuseppe Durisi at Chalmers has accepted the challenge.</b></p>​<span style="background-color:initial">We have become used to computers that can be trained to accomplish intelligent tasks such as image and speech recognition and natural language processing. To explain how this training is performed, we can compare it to how a child learns. For example, a child needs to see a certain number of cats in order to build the general knowledge 'cat'.</span><div><br /></div> <div>Deep neural networks are trained in a similar manner. We feed them with example, which are used to adjust the parameters of the network, until the network delivers correct answers. When the network provides correct answers even when faced with new examples, that is, examples that were not used in the training phase, we know that it has acquired some general knowledge.</div> <div><br /></div> <div>Deep neural networks have achieved sensational results, but there is one fundamental problem that concerns researchers and experts. We see that they work, but we do not fully understand why. A common criticism is that deep learning algorithms are used as &quot;a black box&quot; – which is unacceptable for all applications that require guaranteed performance, such as traffic safety applications.</div> <div><br /></div> <div>”Right now, we lack the tools to describe why deep neural networks perform so well”, says Giuseppe Durisi, professor of Information Theory.</div> <div><br /></div> <div>Here is one of the mysteries about deep neural networks. According to established results in learning theory, we would expect deep neural networks to perform poorly when trained with the amount of data that is typically used.  But practice shows that this is perfectly fine.</div> <div><br /></div> <div>”It is even the case that if you make the network more complex – which according to established knowledge would impair its ability to generalize, the performance will sometimes improve.”</div> <div><br /></div> <div>There is no theoretically based explanation for why this occurs, but Giuseppe Durisi speculates with another analogy with human learning.</div> <div><br /></div> <div>”In order to reach a deeper understanding and thus the ability to generalize based on a large number of examples, we are required to overlook, or forget, a certain amount of details that are not important. Somehow, deep neural networks learn which part of the data is worth memorizing and which part can be ignored.” </div> <div><br /></div> <div>Many research groups around the world are now working hard to come up with a theory explaining how and why deep neural networks work. In connection with a major international conference in July this year, a competition was announced to see which research team can come up with theoretical bounds able to predict the performance of deep neural networks.</div> <div><br /></div> <div> Tools from many different research fields can be used to establish such a theory. Giuseppe Durisi hopes that information theory can be the right one.</div> <div><br /></div> <div>“Yes, information theory is my area of expertise, but it remains to be seen if we will succeed. That is how research works – and it is really exciting to apply the theory I am familiar with to address the completely novel challenge of understanding deep neural networks. It will keep us busy for a while.”</div> <div><br /></div> <div>Giuseppe Durisi has several research projects under way and collaborates with colleagues in other fields. Within the Chalmers AI Research Centre, he collaborates with Fredrik Hellström, Fredrik Kahl and Christopher Zach, and in a WASP project, Giuseppe Durisi and Rebecka Jörnsten from Mathematical Sciences have recently recruited a doctoral student, Selma Tabakovic, who will work on this problem.</div> <div><br /></div> <div>When Giuseppe Durisi reflects on the future, he sees that a greater understanding of deep learning can contribute with additional benefits – besides providing guaranteed performance in safety critical systems.</div> <div><br /></div> <div>”With a theoretical understanding of how deep learning works, we could build smaller, more compact, and energy-efficient networks that may be suitable for applications such as Internet-of-Things. It would contribute to increase the sustainability of such a technology.” </div> <div><br /> </div> <div><br /> </div> <div> </div> <div><div>Research projects</div> <div><strong>INNER: information theory of deep neural networks</strong></div> <div>Fredrik Hellström, Giuseppe Durisi and Fredrik Kahl</div> <div>Chalmers AI Research Centre (CHAIR)</div> <div><br /> </div> <div><strong>Generalization bounds of Deep Neural Networks: Insight and Design</strong></div> <div>Selma Tabakovic, Rebecka Jörnsten and Giuseppe Durisi</div> <div>Wallenberg AI, Autonomous Systems and Software Program (WASP)​</div></div> <div><br /> </div> <div><br /> </div> <div><br /> </div> <div>A deep neural network is a computer program that learns on its own. It is called &quot;neural network&quot; because its structure is inspired by the neural network that forms the human brain. Deep learning is a machine learning method, and part of what we call artificial intelligence. </div> <div><br /> </div> <div><strong>Illustration above:</strong> A deep neural network is fed with training data (in this case images) and the learning algorithms interpret the images through a number of layers – for each layer the degree of abstraction increases. Once the network has learned to identify combinations of patterns in the image – the system is able to distinguish a dog from a cat even on completely new images that were not included in the training material. </div> <div><br /> </div> <div><br /> </div> <div><br /> </div> <div></div>Tue, 01 Sep 2020 07:00:00 +0200 granted CHAIR Consortium Seed Projects 2020<p><b>​Eight projects have been granted seed funding by the CHAIR Consortium.</b></p>​Approximately 2,4 MSEK have been granted to the 8 approved proposals. The criteria for the selection were those specified in the call.<br /><br /><strong>Miroslaw Staron, Helena Odenstedt Herges, Silvana Naredi, Linda Block and Mikael Elam</strong><br />eHRV - Using EEG to label HRV data for detection of Delayed Cerebral Ischema in Stroke Patients<br /><br /><strong>Jun Li, Jiajia Chen and Lei Chen</strong><br />Robust Federated Learning against Low-quality and Corrupted Data<br /><br /><strong>Kun Gao, Yongzhi Zhang and Xiaobo Qu</strong><br />Online Lithium-ion Battery State of Health Prognostics<br /> <br /><strong>Huu Le</strong><br />Learning to Solve Robust Visual Odometry<br /> <br /><strong>Lucy Ellen Lwakatare and Aiswarya Raj</strong><br />Automatic data validation in data-streams for machine learning<br /> <br /><strong>Fredrik Johansson and Alexander Schliep</strong><br />AI and Missingness in Diagnostics for Alzheimer’s Disease<br /> <br /><strong>Sina Rezaei Aghdam, Marija Furdek Prekratic and Alexandre Graell I Amat</strong><br />Enhanced Security and Privacy for Wireless Federated Learning<br /> <br /><strong>Christian Berger</strong><br />DegradeFX - Explicating and Measuring Data Degradation Effects on ML<br /><br />Here was the call (the deadline has passed)<br /><a href="/en/centres/chair/news/Pages/Call-CHAIR-Consortium-SEED-projects-2020.aspx">Call for CHAIR Consortium Seed projects 2020 &gt;</a>Fri, 26 Jun 2020 10:00:00 +0200 A conversation about AI risk and AI ethics in the age of covid-19<p><b>​Speakers: Jaan Tallinn and Olle Häggström</b></p>​<span style="background-color:initial">Jaan Tallinn was originally trained in theoretical physics in Estonia and was one of the founders of Skype. Today he is an investor in technology start-ups around the world, as well as a philanthropist focusing on existential risk and AI safety research. </span><div><br /><span style="background-color:initial"></span><div>Olle Häggström is a professor of mathematical statistics at Chalmers, where he also serves as chairman of CHAIR's AI ethics committee. </div> <div> </div> <div>They discuss a range of topics in AI risk and AI ethics, and whether in these fields there are lessons to be learned from the ongoing covid-19 crisis.</div> <div> </div> <div>The webinar was held on 19th May, 2020, and organised by the AI Ethics Committee , within Chalmers AI Research Centre.</div> <div><br /></div> </div>Wed, 20 May 2020 14:00:00 +0200 for CHAIR Consortium Seed Projects 2020<p><b>​Call for seed project proposals (budget not exceeding 300 kSEK) that address AI research projects with given themes.</b></p>​<span style="background-color:initial">Important dates:</span><div>Submission due : May  15, 2020  (the date is firm)</div> <div>Notification: June 25, 2020</div> <div>Project start :  Latest Oct 1st 2020</div> <div>Project end: Latest March 1st 2021</div> <div><br /></div> <div>The CHAIR Consortium consists of the following partners: Chalmers, Volvo Group, CEVT, Volvo Cars, Ericsson and Sahlgrenska University Hospital. While the application domains of the partners are diverse, they all face a set of common challenges in developing AI/ML solutions, which are addressed in this call. This call for seed projects asks for novel research ideas and solutions that address these common challenges.</div> <div> </div> <div>The project should be relevant for the following themes:</div> <div><br /></div> <h2 class="chalmersElement-H2">Theme 1: Advances in handling aspects of real data in machine learning</h2> <div>Most AI/ML methods depend on access to large volumes of high quality data. However, there is often a number of aspects that interfere with the requirements for which many machine learning methods have been developed which raises challenges such as:</div> <div><br /></div> <div><ul><li>Privacy and security of data that cannot be leaked or shared</li> <li>Low quality of data or annotations, reliability of data from untrusted sources</li> <li>Streaming data and corresponding algorithms </li> <li>Continuously updated data</li></ul></div> <div>The above items may be addressed by techniques also known as federated learning, robust learning, stream processing and streaming analytics, and adaptive machine learning. Hence, this theme calls for research into developing solutions addressing these aspects of real data.</div> <div><br /></div> <h2 class="chalmersElement-H2">Theme 2: Integration of knowledge- and data driven techniques</h2> <div>In many applications, there is a need to combine pure data driven methods with specific models based on specialized domain knowledge tailored for the task at hand. This raises challenges such as:</div> <div><ul><li>Incorporation of knowledge about physical laws into data driven methods</li> <li>Combination of a data driven model with a physics based model</li> <li>Generation of representative training data by combining real data, physics-based simulation, and re-sampling techniques</li></ul></div> <div>The above items may be addressed by techniques also known as gray-box system identification, hybrid learning, simulation-based learning, generative modeling, and knowledge- and data driven approaches. Hence, this theme calls for research into developing such hybrid solutions.</div> <div><br /></div> <div>This is a call for proposals that address one of these two themes. In the project proposal there should be clear and explicit relations to these themes. Applications that build teams with good gender balance are encouraged.</div> <div><br /></div> <div>The seed projects are expected to be relevant for some or for all CHAIR Consortium partners.  The funding is assumed for researchers employed by Chalmers. Other partners, including CHAIR consortium partners, could be included in the projects, but their funding is not covered by this call, and their efforts should be expressed in-kind (FTE).  </div> <div><br /></div> <h2 class="chalmersElement-H2">Requirements:</h2> <div><ul><li>Eligible applicants are Chalmers researchers including GU employees at shared departments (MV and CSE). PhD students or master students from Chalmers, or GU from the education programs at shared departments can be included in the project.</li> <li>The budget should not exceed 300 kSEK including indirect costs (OH). It can cover personnel costs, and other costs up to 10% of the project budget, excluding equipment.  Furter, 10% funding in kind is requested from the department.</li> <li>The  proposal should have a clear and explicit relation to one or both themes. It should also be relevant to the CHAIR consortium partners.</li> <li>The proposal should follow the formats and outline defined in two templates. Incomplete proposals, or proposals that do not follow the defined format and size of the templates will be desk-rejected.</li> <li>A researcher can only be part of one proposal. Researchers already funded by CHAIR in 2019 or 2020 cannot apply.</li></ul></div> <div><br /></div> <h2 class="chalmersElement-H2">Submission and notification</h2> <div>The proposals should be submitted as one PDF file consisting of the following parts</div> <div><ol><li>Chair Project proposal form (<a href="/en/centres/chair/Documents/CHAIR%20Project%20proposal%20template%202020.docx">CHAIR Project proposal template</a>)  - one page </li> <li>Project Plan (<a href="/en/centres/chair/Documents/CHAIR%20SEED%20Project%20Plan%20Template%202020.docx">CHAIR Project plan template​</a>​) - max 3 pages</li> <li>Ethical considerations, in the spirit of <a href="/en/centres/chair/research/Pages/Ethical-policy.aspx">the CHAIR Ethical Policy</a> as a part of the project plan.</li> <li>CVs of main applicants - one page per applicant</li></ol></div> <div>Submit the proposal to Easychair <a href=""></a></div> <div>Upon notification, the PIs should prepare and sign the project contract with the CHAIR Consortium. The PI’s manager will also sign the contract. </div> <div><br /></div> <h2 class="chalmersElement-H2">Evaluation Criteria:</h2> <div><ul><li>The research novelty of the proposal.</li> <li>The relevance for core partners (including the number that found it relevant).</li> <li>The possible impact of the research to the research field.</li> <li>The expected research results, and the potential of the research results for further research or utilisation.</li> <li>The feasibility of the project plan.</li> <li>The ability of the project members to deliver the results.</li> <li>The ethical reasoning. </li></ul></div> <div><br /></div> <div>The proposals will be evaluated by the <a href="/en/centres/chair/About-us/Pages/organisation.aspx#ot" target="_blank">CHAIR Operational Team​</a> and decision of funding will be taken by the CHAIR Core Partners Board. </div> <div><br /></div> <h2 class="chalmersElement-H2">Contact Information</h2> <div>The call general questions can be sent to Ivica Crnkovic (<a href=""></a>) or Kolbjörn Tunström (<a href="">​</a>).</div> <div>For questions related to the ethical aspects of the proposal you can contact Olle Häggström (<a href=""></a>).</div> <div><br /></div> <div>To contact Core partners for particular questions related to the project proposal you can contact</div> <div>CEVT: Shafiq Urréhman <a href=""></a></div> <div>Ericsson: Aneta Vulgarakis <a href=""></a> </div> <div>Sahlgrenska University Hospital: Anders Hyltander <a href=""></a> </div> <div>Volvo Cars: Erik Hjerpe <a href=""></a></div> <div>Volvo Group: Jenny Erneman  <a href="">​</a></div> Tue, 14 Apr 2020 09:00:00 +0200 annual report 2019<p><b>Each year we publish an Annual Report, which outlines the research, activities and projects in the previous year.</b></p><a href="/SiteCollectionDocuments/Centrum/CHAIR/Chalmers_AI_Research_Centre_Annual_report_2019_200330.pdf">​Click here to read the Chalmers AI Research Centre annual report 2019</a><br />Mon, 30 Mar 2020 00:00:00 +0200 with core partners kick-started<p><b>​Chalmers AI research centre has signed agreements with five strategic partners, which now form a core of cooperation with industry and the public sector. The centre is well positioned to be a key part of the regional as well as national AI ecosystem.</b></p>​<span style="background-color:initial">The newly formed consortium held a kick-off on 10th March. Chalmers President Stefan Bengtsson welcomed all partners and mentioned the high expectations that are on upcoming activities. The CHAIR consortium's new partners agreed and gave their perspectives during the meeting.</span><div><br /></div> <div>Director Ivica Crnkovic presented an overall plan and pointed to major challenges in society where AI has a potential to contribute.</div> <div>“CHAIR's partners represent different areas, but the AI challenges they face are similar. There are great opportunities for collaboration, and we can achieve good synergies”, says Ivica Crnkovic.</div> <div><br /></div> <div>Kristian Abel from Volvo Cars described Data Science and AI as crucial for developing and delivering future mobility, both in products and in their own operations.</div> <div>“CHAIR contributes to strengthening AI research and competence in the region and to enhance collaboration within the area of AI. We see CHAIR as an important addition to the Swedish AI scene”, says Kristian Abel from Volvo Cars.</div> <div><br /></div> <div>Professor Ann-Marie Wennberg from the Sahlgrenska University Hospital described the challenges facing the health care sector and pointed out that technical development and artificial intelligence have the potential to offer important solutions. She sees the collaboration between the partners within CHAIR as a natural step and a necessity for Sahlgrenska University Hospital.</div> <div><br /></div> <div>Ericsson is researching and developing AI technologies to automate telecom networks, improve efficiency and deliver optimal user experiences.</div> <div>“The collaboration with Chalmers AI Research Centre will increase its expertise and excellence in artificial intelligence and offer shared knowledge and experience”, says Aneta Vulgarakis from Ericsson Research.</div> <div><br /></div> <div>Johan Lundén from Volvo Group has great confidence in the opportunities AI will open for the Volvo Group and the ability to shape future sustainable transport.</div> <div>“In line with that, we have high expectations for the cooperation that we look forward to within CHAIR, says Johan Lundén”, Volvo Group.</div> <div><br /></div> <div>Shafiq Urréhman from CEVT agrees.</div> <div>“We see regional ecosystems as important for research and development and AI-related technologies are strategic areas for CEVT. CHAIR offers an important part of the transformation towards AI-based applications, where collaboration and building competence are crucial.”</div> <div><br /></div> <div>The five parties have entered into core partner agreements during the period 2020-2024, with a possibility of extension: CEVT, Ericsson, Sahlgrenska University Hospital, Volvo Cars and Volvo Group.</div> <div><br /></div>Thu, 12 Mar 2020 10:00:00 +0100