News: Centre CHAIR related to Chalmers University of TechnologyTue, 21 Sep 2021 21:34:30 +0200 CHAIR Theme Semesters<p><b>​CHAIR Theme Semesters is a programme designed to bring together Chalmers researchers from different disciplines under a common theme to jointly advance fundamental problems in AI/machine learning: led by a visiting researcher leader or a group of visiting researchers of the field for a duration of 1 to 3 months.</b></p>​<span>We are looking for</span><span> </span><span>applications by </span><span>a</span><span>n interdisciplinary</span><span> consortium of</span><span> three</span><span> to </span><span>five</span><span> researchers </span><span>at Chalmers (and common GU </span><span>d</span><span>epartments)</span><span> with common focal interest in AI/machine learning </span><span>to </span><span>work for</span><span> </span><span>for the duration </span><span>together on a jointly agreed research programme. </span><span>A dedicated physical working space </span><span>is</span><span> available in collaboration with AI Innovation of Sweden</span><span>.</span><span> </span><span>The </span><span>researchers would be expected to interact together intensively on a daily basis.<br /><br /></span><div></div> <div><div><span>The consortium nominates and invites an</span><span> internationally recognized research leader in AI/machine learning or a group of internationally recognized rising stars</span><span> to be funded and hosted at Chalmers and to </span><span>scientifically</span><span> lead the theme semester </span><span>together with the local consortium of Chalmers researchers. The international researcher(s) would spend this period hosted by Chalmers. During the theme semester,</span><span> </span><span>10-15 </span><span>external researchers will be hosted </span><span>at Chalmers to participate in seminars, workshops and open events (</span><span>we encourage people to stay for at least one week</span><span>)</span><span>. The thematic programs are envisioned to attract a broad range of scientists, from different fields, with AI as a focal point and to be arranged such that there are close interactions between the involved scientists.</span><span> We expect that the local consortium will continue the initiated collaboration after the theme semester and build long term research efforts.</span></div> <div><br /></div> <div><span>It is also expected that</span><span> outreach activities</span><span> such as a day of talks aimed at the general public</span><span> are</span><span> arranged during the period that the theme semester runs. </span><span>CHAIR's Ethical Policy (</span><span><a href="/en/centres/chair/research/Pages/Ethical-policy.aspx" target="_blank" rel="noreferrer nofollow"></a></span><span>)</span><span> shall be regarded during the semester</span><span>. <br /><br /></span></div> <div><div><span>Each project will be supported by a budget of </span><span>up to</span><span> 600 k SEK</span><span>. It will be left up to the team of coordinating researchers at Chalmers to spend the budget as they see fit. </span><span>The budget</span><span> may be used for supporting travel, local accommodation of visitors </span><span>and</span><span> also to pay a salary </span><span>component or honorarium </span><span>to the international theme leader</span><span>(s). However, no more than 10% of the budget can be used for salary for the local researchers at Chalmers.  There may be a light check on how the budget is proposed to be used and minor adjustments may be suggested by the CHAIR management.</span></div> <div><span><br /></span></div> <div><div><span><strong>Call for Proposals and Nomination of a Distinguished Research Leader</strong></span></div> <div><div><span>We invite proposals from a consortium of researchers at Chalmers and GU for AI Theme Semesters.  This proposal should include a nomination of an internationally distinguished research leader in</span><span> </span><span>AI/machine learning or a group of rising stars.  </span><span>We are looking for nominees with an outstanding scientific track record. There is no particular age bracket to be considered. </span></div> <div><br /></div> <div><span>The nomination should contain:</span></div> <ul><li><span>A cover letter (of at most 3 pages)  outlining the research programme for theme semester</span><span> </span></li> <li><span>A</span><span> two-page CV of the international researcher</span><span>(s) </span><span> together with list of publications (and preferably a researcher ID such as ORCID).</span></li> <li><span>P</span><span>ropose, and shortly justify, a budge</span><span>t</span><span> total </span><span>up to 600 k SEK</span><span> (maximum 1/2 of a page). </span></li> <li><span>A</span><span> letter of intent from the nominee</span><span>(s) </span><span> stating the time period </span><span>they </span><span>will be present in Gothenburg. </span><span>(Note: only one letter of intent from the </span><span>main visiting researche</span><span>r </span><span>(rather than all participants) is required)</span></li> <li><span>Ethical aspects of the programme, in keeping with CHAIR's Ethical Policy, should also be addressed in the application. </span></li></ul> <div><span>The proposals will be evaluated and selected by the Management </span><span>Group</span><span> of CHAIR. </span></div> <div><br /></div> <div><span>There is the possibility to get CHAIR core partners </span><span>(</span><span><a href="/en/centres/chair/consortium/Pages/default.aspx" target="_blank" rel="noreferrer nofollow"></a></span><span>)</span><span> involved in the project, giving the visiting researcher and the group a chance to work on problems together with partners, and also benefit from data, while the partners benefit from the research, and can contribute to the project.  </span></div> <div><br /></div> <div><span>Complementary funding and activities could also be arranged together with GENIE if the theme is led by female researcher(s).</span></div> <div><span><br /></span></div> <div><div><span><strong>Mandatory Requirements:</strong></span><span><strong> </strong></span></div> <ul><li><span>AI should be the focal point of the proposal.</span></li> <li><span>T</span><span>he consortium submitting the proposal shou</span><span>l</span><span>d consist of at least three PIs </span><span>from Chalmers</span><span> from at least </span><span>three</span><span> different local departments.</span><span> We also encourage additional external PIs</span><span> </span><span>from e.g. GU, industry partners or the  CHAIR consortium.</span></li></ul> <div><span><strong><br />Ev</strong></span><span><strong>aluation criteria: </strong></span></div> <ul><li><span>AI as the focal point</span><span> of the proposal</span><span>.</span></li> <li><span>Novelty and originality</span><span>.</span></li> <li><span>Scientific quality of the proposed research</span><span>.</span></li> <li><span>Merits of the nominee</span><span>s.</span></li> <li><span>Feasibility - prior experience of coordinating larger projects or networks is thus an advantage</span><span>.</span></li> <li><span>Cross-disciplinary </span><span>nature</span><span> of the project. </span></li> <li><span>Added value for the extended research community at Chalmers</span><span>.</span></li> <li><span>Ability to continue with the cooperation after the project completion</span><span>.</span></li></ul> <div><br /></div> <div><span><strong>Important dates</strong></span><span><strong> and submission:</strong></span></div> <ul><li><span>Submission due : 15 November, 2021</span></li> <li><span>N</span><span>otification: </span><span>December 20, 2021</span></li> <li><span>Project start: </span><span>2022</span></li> <li><span>Project end: </span><span>December 31, 2022</span></li></ul> <div><br /></div> <div><span> Informal enquiries can be sent to Rebecka Jörnsten (</span><span><a href="">​</a></span><span>). </span></div> <div><br /></div> <div><span>The proposals should be submitted as one PDF file consisting of the above-mentioned parts.  The proposal should be submitted via this channel </span><span><a href="" target="_blank" rel="noreferrer nofollow">Submit your PDF proposal to Easychair​</a>.</span></div> <div></div> <span></span></div> <div></div> <span><strong></strong></span></div> <div></div> <span></span></div> <div></div> <span></span></div> <span></span></div> ​​Tue, 14 Sep 2021 00:00:00 +0200 for projects: CHAIR X + AI<p><b>With the new X+AI initiative, CHAIR aims to establish an instrument that allows Chalmers-based researchers in any field (X) with a strong international standing to develop an environment that leverages AI to reach global excellence. The goal of this new CHAIR X+AI grant is to support the development of consortia that can potentially lead to new project applications, create new networks or participate in existing ones.</b></p><strong>​</strong><span><strong>We invite team leaders</strong> to apply for the new CHAIR X+AI grants and submit their strong applications which should fulfill the following criteria:</span><ol type="1"><li><span lang="EN-US">The main PI should be an employee from Chalmers. External partners are allowed to participate but cannot be direct beneficiaries of this grant.</span></li> <li><span lang="EN-US">Establishes synergistic and unusual connections of X to AI with internal, national, international, or industrial partners.</span></li> <li><span lang="EN-US">Explores promising synergies between X and AI, to achieve goals that can only be possible by working together.</span></li> <li><span lang="EN-US">Enable concrete discussions between X and AI, and build a collaborative environment.</span></li> <li><span lang="EN-US">Identifies and aligns resources and needs to facilitate effective connection of X and AI.</span></li></ol> <p><span lang="EN-US"> </span></p> <p><strong>Budget and instrument details:<br /></strong></p> <ol type="1"><li><span lang="EN-US">We aim to fund 2-3 projects with budgets between 300 kSEK to 750 kSEK. The total budget for this call is 1.5 MSEK. Budgets can be used freely for salaries, travel, consumables, etc. However, larger budget allocations (&gt;50 kSEK) should be clearly justified in the application text.</span></li> <li><span>​​​Outcome: A final project report should be delivered and presented (could also include a video, presentation, etc.) describing the outcome and a plan for upscaling, e.g. grant applications, partner in consortiums, coordination of consortiums etc. </span><span>The scope of the final report is 5 pages.</span></li></ol> <div><strong><br /></strong></div> <div><strong>Deadline for call: Nov 15th, 2021</strong></div> <div><p><span lang="EN-US">The application should be maximum 3 pages long, font Times–roman, size 11. In addition, max 1 page can be used for references. Also, two- page CV of the main applicants should be included (max 4 CVs).</span></p> <p><span lang="EN-US"> </span></p> <p><span><strong>The proposal should include:</strong></span></p> <strong> </strong><ol type="1"><li><span lang="EN-US">T</span><span lang="EN-US">he project acronym and the project title (does not count towards 3 page limit)</span></li> <ol type="a"><li><span lang="EN-US">name, e-mail, of the project applicants (PIs)</span></li></ol> <li><span lang="EN-US">Current status and expected outcome from this newly developed connection.</span><span lang="EN-US"></span></li> <ol type="a"><li><span lang="EN-US">Why should research area X be combined with AI? - why is this connection/synergy important to advance the state-of-the-art?</span><span lang="EN-US"></span></li> <li><span lang="EN-US">Explain the scope of the new and potential synergies of the proposed network.            </span></li></ol> <li><span lang="EN-US">Implementation plan for synergy of</span><span lang="EN-US"> X + AI at Chalmers </span><span lang="EN-US">(workshops, visits, proposals, consortia, and networks)</span><span lang="EN-US"></span></li> <li><span lang="EN-US">E</span><span lang="EN-US">thical aspects </span><span lang="EN-US">and Diversity and inclusion strategy </span><span lang="EN-US">of the project (e.g. </span><span lang="EN-US">age, gender, seniority level, etc.</span><span lang="EN-US">)</span></li> <li><span>B</span><span>enefits for Chalmers</span></li> <li><span>Project partners</span><span></span></li> <li><span>Project budget</span><span></span></li></ol> <div><br /></div> <div><p><strong>Main evaluation criteria:</strong></p> <ol type="1"><li><span lang="EN-US">Establish the connections between X and AI (during grant application: internal, national, international, or industry)</span></li> <li><span lang="EN-US">Explore potential synergies between X and AI (more details, planning for grant applications, conceptualizing concrete ideas)</span></li> <li><span lang="EN-US">Enable Discussions between X and AI (ensure commitment or time)</span></li> <li><span lang="EN-US">Innovative explorations -- unusual partners -- and their potentials</span></li> <li><span lang="EN-US">Identifying and Aligning the resources to expertises to connect X and AI?</span></li></ol> <div><strong><br /></strong></div> <div><strong>Submission:</strong></div></div></div> <div><div>The application should be submitted as one PDF document to:<br /><a href="" target="_blank"></a><br /></div> <div><br /></div> <div><span style="font-weight:700">General questions about the call can be addressed to:</span><br /></div> <div><span style="background-color:initial">Fredrik Kahl, <a href="">​</a>, CHAIR management group</span><a href="">​</a></div></div>Sun, 12 Sep 2021 10:00:00 +0200 human level of dexterity<p><b>Human dexterity is extremely hard to replicate, and we are just in the beginning. Yasemin Bekiroglu is on of Chalmer's new recruitments in AI and robotics. She is now building her group with a wide approach ranging from simpler tasks to solving more complex ones such as assembly.​</b></p>​Y<span lang="EN-US"><span>asemin</span></span><span lang="EN-US"><span></span></span><span lang="EN-US"><span> </span><span>Bekiroglu</span><span> is one of </span><span>Chalmersí</span><span> new recruitments in AI and robotics. She is now an Assistant Professor at Chalmers Department of Electrical Engineering in the Automatic control group and her research is supported through a common initiative between CHAIR and </span><span>Chalmersí</span><span> gender initiative for excellence, Genie. </span></span><div><div><p><span lang="EN-US"><span><br />– The</span><span> central question of my research is how we can create robots that are capable of adapting such that they can co-inhabit our world. This means designing systems that are capable of functioning in unstructured environments that are continuously changing with unlimited combination of shapes, sizes, appearance, and positions of </span><span>objects;</span><span> adapting to changes and learning from experience and humans, and importantly do so from small amounts of data. In particular, my work focuses on grasping and manipulation, fundamental aspects to enable a robot to interact with the environment, humans and other agents. </span><span>Iím</span><span> fascinated by how sophisticated human hands are and very interested in mimicking human dexterity using robotic arms and hands in achieving grasping and manipulation </span><span>tasks</span><span>, says Yasemin </span><span>Bekiroglu</span><span>.</span></span></p></div> <div><p><span lang="EN-US" style="background-color:initial"><br />She is in the beginning of her work at Chalmers, and the goal is to have a group with a wide perspective. The research is therefore kept generic and free from limitations in terms of functionality.</span></p></div> <div> <p><span lang="EN-US"><span><br />– The</span><span> human dexterity is extremely hard to replicate, and we are just in the beginning. Right now, we are looking into both simple movements for robotic arms and hands, such as picking up objects of varying shapes, sizes and materials, but we are also aiming at more delicate and complex tasks such as assembly and </span><span>insertion</span><span>, says Yasemin </span><span>Bekiroglu</span><span>.</span></span></p></div> <div><p><span lang="EN-US"><br />Mostly they work on collaborative robots. The approach is to not re-invent the wheel. Her group uses already existing hardware, studying how to best equip them with various sensing and perception capabilities, and making them more intelligent. The first step is to build a framework that can be extended, starting with simpler tasks such as letting the robotic hand pick up something, then focusing on more complex manipulation tasks that can be learned from demonstration and experience.  </span><span> </span></p> <p><span style="background-color:initial"><br />– Most</span><span style="background-color:initial"> of our initial data comes from vision sensors to plan an action. We aim to complement vison data with other sensory data, such as from touch sensors, and leverage it similarly to the way humans combine vision with touch to perceive, grasp and manipulate a previously unseen object. A key technical difficulty is how to encode, reason about and overcome the uncertainties that are inherent in both robotic perception and also in the </span><span style="background-color:initial">robotís</span><span style="background-color:initial"> physical interactions with </span><span style="background-color:initial">objects.î</span><span style="background-color:initial">, says Yasemin </span><span style="background-color:initial">Bekiroglu</span><span style="background-color:initial">.</span></p> <p><span style="background-color:initial"><br />– But there is a long way to go before we have robots that are equipped with perception and interaction skills close to human level in the way we are able to act in and adapt to our environment. </span><span style="background-color:initial">Our</span><span style="background-color:initial"> research goal is to create assistants and collaborative robots that will facilitate human work and </span><span style="background-color:initial">life</span><span style="background-color:initial">, she says.</span></p> <p><span style="background-color:initial"><br /></span></p> <p><span></span><span style="background-color:initial"><img src="/en/centres/chair/news/Documents/Yasemins%20robotarm.jpg" alt="Yasemins robotarm.jpg" style="margin:5px;width:450px;height:225px" /><br /><br /><img src="/en/centres/chair/news/Documents/Yasemins%20robotarm2.png" alt="Yasemins robotarm2.png" style="margin:5px;width:350px;height:149px" /><br /></span><span lang="EN-US"><span><em>Example grasping experiments, picking up novel and arbitrarily shaped objects, from a clutter using a robotic setup that consists of a 7 degrees of freedom arm equipped with a parallel jaw gripper with flat fingers. The image is adapted from &quot;Benchmarking Protocol for Grasp Planning Algorithms Authors, </em></span><span><em>Bekiroglu</em></span><span><em> et al, IEEE Robotics and Automation Letters (RA-L), 2019.</em></span></span><span style="background-color:initial"><br /></span></p> <p></p></div> </div>Wed, 08 Sep 2021 00:00:00 +0200 new PhD position to Chalmers from WASP<p><b>​​The latest call for PhD proposals from WASP resulted in six new PhD positions at Chalmers </b></p><p><span style="background-color:initial">T</span><span style="background-color:initial">he competition this year was quite tough, there were 74 proposals in total,  and 20 proposals have been accepted. Chalmers submitted 24 proposals (the largest number of the proposals from a single university), 4 of them twining projects.</span><br /></p> <p><span style="background-color:initial"><br /></span></p> <p><span style="background-color:initial">Previously this year, Chalmers got approved four industrial PhD students. That shows that Chalmers researchers show continuously increasing interest in applying for WASP funds and are getting more and more successful. This is a promising trend, and we hope that it will continue, as WASP will continue with new calls this and next year. Chalmers is one of the five WASP founding universities, and WASP is important for Chalmers, not only for the funding reasons, but also for building Swedish communities, and  in participation in the international communities in the selected areas (AI, Autonomous Systems and Software). For example, two of Chalmers PhD students, from the first six WASP PhD students that got a postdoc grant,  are continuing their careers as postdocs at CMU and Berkeley universities, funded from KAW and WASP.</span><span style="background-color:initial"> </span></p> <p><span style="background-color:initial"><br /></span></p> <p><span style="font-weight:700">​</span><span style="font-weight:700">The following project proposals were accepted:</span></p> <p></p> <ul><li><span lang="EN-US"><a href="/en/Staff/Pages/piterman.aspx">Nir Piterman</a> Combining Path-finding Algorithms in Temporal Reactive Synthesis </span></li> <li><span lang="EN-US"><a href="">Gabriel Skantze </a>and <a href="/en/Staff/Pages/richard-johansson.aspx">Richard Johansson</a>  Learning for Conversational AI  </span></li> <li><span lang="EN-US"><a href="/en/staff/Pages/per-stenstrom.aspx">Per Stenström </a>and <a href="/en/Staff/Pages/johamik.aspx">Mikael Johansson</a>, AA4ML - Algorithm-architecture co-design for machine learning  </span></li> <li><span lang="EN-US"><a href="/en/Staff/Pages/yiannis.aspx">Yiannis Karayiannidis</a>, Haptic-based Tracking of Objects in parallel robotic grippers </span></li> <li><span lang="EN-US"><a href="/en/Staff/Pages/haghir.aspx">Morteza Haghir </a>Chehreghani, A Generic Active Learning Framework for Deep Models </span></li> <li><span lang="EN-US">​<a href="/en/staff/Pages/ahmh.aspx">Ahmed Ali-Eldin​</a> , Debloating Machine Learning Systems  </span></li></ul> <p></p> <p><span style="font-weight:700"></span><span style="background-color:initial"></span></p> <p><span lang="EN-US"> ​</span><span style="background-color:initial">Tw</span><span style="background-color:initial">o of these six projects are “twining” projects with KTH in which each University has one PhD student.</span></p> Wed, 23 Jun 2021 00:00:00 +0200 4.0 people and robots work together on equal terms<p><b>​A larger variety of future truck models means new challenges for the truck industry. Chalmers automation researchers and Volvo Trucks collaborate in the Industry 4.0 (a.k.a. Industrial Internet of Things (IoT) project ViMCoR to develop technology that will allow a significant higher degree of truck variations on the same assembly line using AI.​</b></p>​N<span lang="EN-US"><span>ew demands on renewable energy in transportation and the development of autonomous vehicles have made vehicle companies predict that their future number of variants will increase. Until now truck manufacturing has needed few assembly lines to produce all the </span><span>companyís</span><span> models. When hybrid, fully electric, fuel cell-based powertrains and different grades of autonomous vehicles get introduced, the lines will become crowded, and the different parts will be hard to fit next to the production. The </span><span>ViMCoR</span><span> project focuses on developing </span><span>ATRs</span><span> (Autonomous Transport Robots), that will support the line with parts from remote places and order new material when the AI system detects that more is needed. It is also building an AI system that will improve collaborative </span><span>robotsí</span><span> abilities to work side by side with humans at the assembly line.  </span></span><span> </span><div><p><span lang="EN-US"><span><br /></span></span></p> <p><span lang="EN-US"><span>– We</span><span> are dealing with future flexible manufacturing where people and robots work together in a unified environment on equal terms. </span><span>Todayí</span><span> standards have many barriers regarding efficiency and business case when it comes to safety and </span><span>arenít</span><span> following the development of technology and acceptance of these new technologies in </span><span>sociaty</span><span>.  We intend to use the human flexibility as a resource in the safety loop. We have demands on both humans and robots. </span><span>ViMCoR</span><span> is about utilizing this </span><span>flexibility</span><span>, says Per-Lage </span><span>Götwall</span><span>, </span><span>Volvo's</span><span> representative in the project.</span></span></p> <p><span style="background-color:initial"><br /></span></p> <p><span style="background-color:initial">By training the collaborative robots in working side by side with human workers the work process will become smoother. When people build trucks, they have a certain movement pattern. The AI system will learn to predict what the human is going to do next and reacts accordingly. If the project manages to develop a safe and useful algorithm this will eventually provide a business case and decrease the need of building new assembly lines for every new model.</span></p> <p><span style="background-color:initial"><br /></span></p> <p><span style="background-color:initial">Als</span><span style="background-color:initial">o, the ATRs are trained to predict human movement and being able to reroute its way when obstacles appear. With multiple cameras equipped with computer vision placed in the factory ceiling an AI system will be able to monitor the whole environment and predict dangers or obstacles for the ATRs to find other ways around.</span></p></div> <div><p><span lang="EN-US" style="background-color:initial"><br /></span></p> <p><span lang="EN-US" style="background-color:initial">– We are trying to find a good balance between what people are good in doing and use robots to what they do the best. In our vision we see a need for perhaps a thousand ATRs that deliver material inside a factory and it is important to reduce the cost for every ATR, says Knut Åkesson project leader at Chalmers.</span></p> <p><span style="background-color:initial"><br /></span></p> <p><span style="background-color:initial">The project went in 2020 from constructing methods to set the </span><span style="background-color:initial">scene, and</span><span style="background-color:initial"> will continue with eight master students building the AI system.</span></p></div>Tue, 22 Jun 2021 00:00:00 +0200 the underlying symmetries of AI<p><b>​The step from fundamental research to applications, especially in mathematical sciences, can often be quite long, but when we connect math to AI the divide becomes smaller, says Professor Daniel Persson, who leads two WASP-funded research projects at Chalmers.</b></p>W​<span lang="EN-US">hen you train a machine to recognize objects, you put in images of the object until the machine has learned to recognize it. The AI technology of today is really good in detecting and recognizing objects. However, if the image is rotated or curved it is much more difficult for the AI to detect it. For a machine to better understand things like traffic scenes, molecular structures, climate data or medical images it needs to be trained to understand the underlying symmetries of the data.</span><div><span style="background-color:initial"><br /></span></div> <div><span style="background-color:initial">– In</span><span style="background-color:initial"> all these fields mathematics can be applied. That is why math and AI is so exciting. You have a basic theory that you may apply in many different </span><span style="background-color:initial">situations</span><span style="background-color:initial">, says Professor Daniel Persson at Chalmers Department of Mathematical Sciences.</span></div> <div><span style="background-color:initial"><br /></span></div> <div><span style="background-color:initial">He is the supervisor of two PhD students in the WASP-funded projects Quantum Deep Learning and Renormalization and Group Equivariant Convolutional Neural Networks. In the projects they use group theory to construct neural networks that are adapted to the desired symmetries. In 2020 they obtained their first theoretical results by developing a mathematical framework that achieves this. They also started to obtain their first experimental results for spherical images.</span></div> <div><span style="background-color:initial"><br /></span></div> <div><span style="background-color:initial">– This could for instance be very useful for self-driving cars and medical image analysis, just to name a few applicationsi, says Daniel Persson.</span></div> <div><span lang="EN-US" style="background-color:initial"><br /></span></div> <div><span lang="EN-US" style="background-color:initial">In their work they collaborate with researchers at Zenseact, that are developing software for autonomous driving at Lindholmen in Gothenburg. But Daniel Persson also sees other potential applications, ranging from health care to cosmology. </span><span style="background-color:initial"> </span></div> <div><span lang="EN-US" style="background-color:transparent;color:windowtext;font-family:&quot;segoe ui&quot;, &quot;segoe ui web&quot;, arial, verdana, sans-serif"><br /></span></div> <div><span lang="EN-US">– The step from fundamental research to applications, especially in mathematical sciences, can often be quite long, but what is happening when we start working with AI is that the divide becomes smaller. We can put fundamental research straight into AI applications to improve the neural networks. And in turn we can use AI as an aid to explore fundamental research, he says.</span><span> </span></div> <div><span><br /></span></div> <a href="" target="_blank"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/ichtm.gif" alt="" /> </a><a href="" target="_blank"><div style="display:inline !important">Read more about the project</div></a><div><span><br /></span></div> <div><span><img src="/en/centres/chair/news/PublishingImages/Daniel%20Persson.png" alt="Daniel Persson 2.png" style="margin:5px;width:180px;height:119px" /><br /><em>Daniel Persson</em></span></div> <em> </em><br />Thu, 10 Jun 2021 00:00:00 +0200' Robot Scientist ready for drug discovery<p><b>The robot scientist Eve has been assembled and is now operating at Chalmers University of Technology. Eve’s f​irst mission is to identify and test drugs against covid-19.​</b></p><p class="chalmersElement-P">​<span>A robot scientist is a laboratory system that uses artificial intelligence (AI) to automate scientific research. It autonomously forms hypothesis, plans experiments, executes the experiments using laboratory automation equipment, analyses the results, and repeats the cycle. </span></p> <p class="chalmersElement-P"> </p> <p class="chalmersElement-P"><img src="/SiteCollectionImages/Institutioner/Bio/SysBio/RossKing_191003_02_350x305px.jpg" alt="Professor Ross King" class="chalmersPosition-FloatRight" style="width:250px;height:218px" />AI systems now have superhuman scientific skills that are complementary to human scientists.</p> <h2 class="chalmersElement-H2">​Human scientists free to make creative leaps</h2> <p class="chalmersElement-P"> </p> <p class="chalmersElement-P"> </p> <p class="chalmersElement-P"> </p> <p class="chalmersElement-P">“My vision when developing robot scientists  is not to replace human scientists, but rather to make them orders of magnitude more productive through collaborating with AI systems,” says <strong>Ross King</strong>, Professor of Machine Intelligence at the Department of Biology and Biological Engineering, continuing: </p> <p class="chalmersElement-P"> </p> <p class="chalmersElement-P"> </p> <p class="chalmersElement-P"> </p> <p class="chalmersElement-P">“This will free human scientist to make the high-level creative leaps at which they excel, and thus contribute to solving societal challenges.” </p> <div> </div> <h2 class="chalmersElement-H2">The first machine to discover scientific knowledge</h2> <div> </div> <p class="chalmersElement-P">His first robot scientist, Adam, was the first machine to autonomously discover scientific knowledge. Eve was developed for automatic early-stage drug development and has previously discovered novel drugs against several tropical diseases including malaria. </p> <div> </div> <p class="chalmersElement-P"></p> <div> </div> <p class="chalmersElement-P">Moving Eve from the University of Manchester to the Division of Systems and Synthetic Biology at Chalmers has enabled Ross King to collaborate with Per Sunnerhagen, Professor at Gothenburg University, to search for drugs against covid-19. </p> <div> </div> <p class="chalmersElement-P"></p> <div> </div> <p class="chalmersElement-P">“It is deeply shocking how little effort large pharmaceutical companies have put into finding drugs against covid-19. If such drugs were available now, they would save many lives in places such as India,” says Ross King.</p> <div> </div> <h2 class="chalmersElement-H2">New robot scientist under development​</h2> <div> </div> <p class="chalmersElement-P"></p> <div> </div> <p class="chalmersElement-P"></p> <div> </div> <p class="chalmersElement-P">The new robot scientist Genesis, which is under development,  is funded by the Wallenberg AI, Autonomous Systems and Software Program. It is designed to better understand how human cells work.​<br /><br /></p> <div> </div> <p class="chalmersElement-P"><strong>Text:</strong> Susanne Nilsson Lindh<br /><strong>Photo of Ross King: </strong>Johan Bodell<br /><strong>Photo of Eve and researcher </strong><strong>Ievgeniia Tiukova (below): </strong>Martina Butorac</p> <div> </div> <p class="chalmersElement-P"><br /></p> <div> </div> <p class="chalmersElement-P"><img src="/SiteCollectionImages/Institutioner/Bio/SysBio/robotscientist_750.jpg" alt="Chalmers' Robot Scientist ready for drug discovery" style="margin:5px;width:650px;height:379px" /><br /></p> <div> </div> <div> </div> <p class="chalmersElement-P"> </p> <div> </div> <p class="chalmersElement-P"><strong><br /></strong></p> <p class="chalmersElement-P"><strong>About Eve</strong></p> <div> </div> <p class="chalmersElement-P"> </p> <div> </div> <p class="chalmersElement-P"></p> <div> </div> <ul><li>Eve is a laboratory automation work cell with equipment for liquid handling, drug maintenance, yeast growth profiling brough together by robotic arms. </li> <li>Eve has vacuum sealed mechanics of robotic arms which can operate in six axis orientation and were designed for continuous use under heavy loads for months at a time. </li> <li>Eve has an intelligent drug discovery mode using algorithms of active machine learning to untangle quantitative structure/activity relationship. </li> <li>Eve enables ultra-precise, reproducible, and high-throughput experimentation to facilitate early drug discovery and assists researchers with repetitive tasks.</li> <li>Watch <a href="" style="background-color:rgb(255, 255, 255)">Eve at work</a></li></ul> <div> </div> <p class="chalmersElement-P"> </p> <div> </div> <p class="chalmersElement-P"><strong>Read more:</strong></p> <div> </div> <p class="chalmersElement-P"></p> <div> </div> <ul><li><a href="/en/departments/bio/news/Pages/I-want-to-transform-the-way-science-is-done.aspx"><span style="background-color:initial">&quot;I want to transform the way science is done”</span>​</a><span style="background-color:initial"> </span></li> <li><span style="background-color:initial"><a href="/en/news/Pages/43-Chalmers-researchers-receive-funding-for-more-research.aspx">43 Chalmers researchers receive funding for more research​</a><br /></span></li></ul> <div> <strong></strong></div> <p></p> <div> </div> <p class="chalmersElement-P"> </p> <div> </div> <p class="chalmersElement-P"><br /></p> <div> </div> <p class="chalmersElement-P"> </p> <div> </div> <p class="chalmersElement-P"> </p> <div> </div> <p class="chalmersElement-P"> </p> <div> </div> <p class="chalmersElement-P">   </p> <div> </div> <p class="chalmersElement-P"> ​</p>Thu, 03 Jun 2021 11:00:00 +0200!.aspx!.aspxAI in Horizon Europe – please answer the call!<p><b>​Focus on AI is strong in Horizon Europe, the EU's key funding programme for research and innovation! Chalmers AI Research Centre offers you, as a Chalmers researcher, support for getting engaged in Horizon Europe. Build collaborations, attract funding and break new ground with CHAIR's support.​</b></p>​<span style="background-color:initial">H</span><span style="background-color:initial">orizon Europe is an important platform for AI research and a brilliant opportunity for Chalmers to increase the international collaborations within the research area.</span><br /><span> <br /><p dir="ltr"><span>CHAIR now offers all Chalmers researchers support to get engaged in Horizon Europe. We have entered a collaboration with <a href="" target="_blank">IMCG, Impact Management Consulting Group,​</a> to ease your way into Horizon Europe projects. IMCG has extensive experience in supporting Chalmers researchers to become successful in various roles in EU’s research programmes. We encourage you to explore the different ways to get engaged below and to get in touch about the next step.</span></p> <p dir="ltr"><strong style="background-color:initial"><br /></strong></p> <p dir="ltr"><strong style="background-color:initial">​Here are some ways to get engaged:</strong></p> <p dir="ltr"><span style="background-color:initial">– <strong>W</strong></span><span style="background-color:initial"><strong><strong>atch</strong> our webinar and learn why Horizon Europe is relevant to your research</strong></span></p></span><p></p> <p dir="ltr"><span>On May 4th CHAIR held a webinar led by Magnus Andersson from IMCG, on opportunities for AI Research in Horizon Europe (</span><a href="/en/centres/chair/news/Pages/Horizon-Europe-calling.aspx" target="_blank"><span>Horizon Europe Calling! | Chalmers</span></a><span>). Watch the webinar here (</span><a href="" target="_blank"><span>Horizon Europe webinar</span></a><span>). Hear also Prof. Kasper Moth-Poulsen’s presentation about his own Horizon journey (listen from 52:30). Take it from him; </span><span>“You can’t outsmart your competitors, but you can outplan them!”</span></p> <p dir="ltr"><span style="background-color:initial">To start taking action, please get in touch with IMCG, Impact Management Consulting Group, Finance Expert <a href="" target="_blank">Johan Emanuel</a>,, and he will help you forward on any of the following matters, or any other inquiries you might have about Horizon Europe. </span></p> <p dir="ltr"><span style="background-color:initial"><strong>– </strong></span><strong style="background-color:initial">Browse relevant calls and find your match</strong><span style="background-color:initial"> </span></p> <p></p> <p dir="ltr"><span>Horizon Europe is, according to the EU, the world’s largest innovation and research program, and obviously there are multiple opportunities to find your match within the program. To get you started,  IMCG has assembled a list of AI-related Horizon Europe calls within these different clusters. These are:</span></p> <ul><li dir="ltr"><p dir="ltr"><span>Culture, Creativity and Inclusive Society</span></p></li> <li dir="ltr"><p dir="ltr"><span>Civil Security for Society</span></p></li> <li dir="ltr"><p dir="ltr"><span>Digital, Industry and Space</span></p></li> <li dir="ltr"><p dir="ltr"><span>Climate, Energy and Mobility</span></p></li> <li dir="ltr"><p dir="ltr"><span>Food, Bioeconomy, Natural resources, Agriculture and Environment</span></p></li></ul> <p dir="ltr"><span style="background-color:initial">T</span><span style="background-color:initial">h</span><span style="background-color:initial">e list is available to</span><span style="background-color:initial"> all Chalmers researchers on request.</span></p> <p dir="ltr"><span style="background-color:initial"><strong>– </strong></span><strong style="background-color:initial">Get onboard as partner in a consortium</strong></p> <p></p> <p dir="ltr"><span>Getting involved with the right partners is key for a successful application. IMCG’s method puts you in the right context. Start exploring the opportunities of being a partner in a consortium!</span></p> <p dir="ltr"><span>Before you contact IMCG</span></p> <ul><li dir="ltr"><p dir="ltr"><span>Write down 3 short sentences that describe and summarize the part of your research you want to participate in an application with.</span></p></li> <li dir="ltr"><p dir="ltr"><span>Write down 3 short sentences and what you want to achieve with your participation in a project.</span></p></li> <li dir="ltr"><p dir="ltr"><span style="background-color:initial">W</span><span style="background-color:initial">rite down 5-7 specific keywords that we can use when searching for calls and consortiums.</span></p></li></ul> <span style="background-color:initial"><b>– Start your journey for becoming a consortium leader</b></span><span style="background-color:initial"> </span><br /> <p dir="ltr"><span>If you are running a strong research program and want to explore the possibilities for taking the lead of a consortium, IMCG has the methods to put you on the right call. Leading a consortium is not only a great experience for a research leader, it will also put you in a good position in an EU and European context.</span></p> <p dir="ltr"><span style="background-color:initial">On the European Commission’s webpage, you can find a detailed description of Horizon Europe – </span><a href="">Horizon Europe | European Commission (</a><span style="background-color:initial">. </span><span style="background-color:initial">Search for fundings and tenders on: Participant portal EU </span><a href="">Funding &amp; tenders (</a><span style="background-color:initial">.</span></p> <p dir="ltr"><span style="background-color:initial">Please also visit the web pages of Chalmers Grant Office: </span><a href="">EU funding support</a><span style="background-color:initial">.</span></p> ​​Mon, 24 May 2021 00:00:00 +0200 to CHAIR<p><b>​Chalmers are looking for the next Director for CHAIR – a great opportunity and challenge!</b></p>​<span>Chalmers AI Research Centre (CHAIR) was established in January 2019 with the aim of significantly increasing Chalmers’ expertise and excellence within AI in research, education and innovation. The Centre is a major strategic initiative and is funded by the Chalmers University of Technology Foundation with 300 million SEK over ten years. A core principle of CHAIR is a strong relationship with industry and the public sector, and we are currently developing a consortium with selected core partners. In extension, CHAIR will establish a collaboration platform to allow for partnerships with various external actors having an interest in AI.</span><div><br /><span></span><div><span>As a Chalmers wide initiative CHAIR promotes and covers AI-related activities across the university. The research supported by the Centre is performed by researchers from Chalmers, either internally, or in cooperation with external research partners. The activities is mainly funded through competitive grants where Chair funding provides a strategic funding to support attracting external grants.</span></div> <div><span><br /></span></div> <div><span><strong>The Centre goals are to:</strong></span><br /><span>● strengthen AI basic research and establish applied research activities in selected strategic areas,</span><br /><span>● coordinate AI-related activities across Chalmers, and</span><br /><span>● support educational activities in in cooperation with Chalmers education.</span><br /><br /><span>Complementary activities that go across these three goals are: AI ethics research and practice, focus on gender balance, and innovation activities.</span><br /><br /><span><strong>Initiated activities include research in three core dimensions:</strong></span><br /><span>● AI Foundations, AI theories and algorithms</span><br /><span>● AI Enablers, AI-based systems and software</span><br /><span>● Applied AI in:</span><br /><span>○ Transport</span><br /><span>○ Life Science and Health</span><br /><span>○ Automation and Internet of Things</span><br /><span></span></div> <div><br /></div> <div><strong>Major responsibilities</strong><br /><span>As the Director for CHAIR you are responsible for the strategy and the implementing of the scientific vision, act as the head lead for CHAIR´s research projects, and organize the Centre in the best way, both to be able to reach the goals and also for the people involved.</span><br /><br /><span>You will lead and take an active role in the Research Management Group of CHAIR (CMG) who is responsible for driving the long term scientific vision of the Centre, and ensure scientific quality in activities performed within the Centre.</span><br /><br /><span><strong>Your key responsibilities will be:</strong></span><br /><span>• developing and implementing CHAIR’s research agenda and scientific strategy</span><br /><span>• facilitate and coordinate large research applications together with Chalmers researchers as well as external partners</span><br /><span>• coordinate research funding received in the name of Chair, both from agencies in Sweden and EU.</span><br /><span>• developing and following up internal and collaborative project calls</span><br /><span>• communicate CHAIR both internally within Chalmers and externally in different arenas</span><br /><span>• influence and build strong connections with the business sector and industry</span><br /><br /><strong>Qualifications</strong><br /><span>The person we see in this role has:</span><br /><span>- a PhD degree and holding a position as Associate Professor, Professor, Research Professor or Senior Researcher</span><br /><span>- experience from the area of AI or in application of AI</span><br /><span>- led and coordinated large and complex projects</span><br /><span>- become nationally- and internationally well-connected within the AI-sector</span><br /><br /><span><strong>To become successful in this position, you need to:</strong></span><br /><span>- have strong and documented leadership skills and are able to fulfill the requirements of </span><a href=";token=ead4eed913cf459de2019adbf59d05843c19526b45032a29ad8e245c6a99222e" target="_blank" rel="noopener">Chalmers Leadership policy</a><span>”:</span><br /><span>- have strong communication skills both externally; to reach out in the society and internally within Chalmers</span><br /><span>- have a drive to promote and develop others</span><br /><span>- want and strive to make an impact in the AI´s sectors different arenas</span><br /></div> <div><span><br /></span></div> <div><p><strong>Contract terms</strong><br />The role as Director for CHAIR is part-time, 50–75% within CHAIR.</p> <p>Chalmers continuously strives to be an attractive employer. Equality and diversity are substantial foundations in all activities at Chalmers.<br /><br /><strong>Application procedure</strong><br />The application should be marked with Name, Ref 20210232  and be attached as PDF files, as below:<br /><br /><strong>CV</strong></p> <p>Personal letter</p> <p>Other documents (optional):<br />• Copies of completed education, grades etc. Two references that we can contact should be provided at a possible interview.</p> <p>Please use the button at the bottom of the page to reach the application form.<br /><br /><strong>Application deadline: 23rd May, 2021</strong><br /><br /><strong>For questions, please contact:</strong><br />Jan Smith, chairman of CHAIR steering group<br />E-mail:<br />Phone: +46 31 772 1034<br /><br /><em>*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. ***</em></p></div></div>Sun, 23 May 2021 00:00:00 +0200 for projects: AI in energy and climate research<p><b>​CHAIR, Chalmers Energy and ICT Areas of Advance are jointly investing in Data Science and AI in the Energy and Climate area. Important dates: Submission deadline: June 6, 2021. Notification: June 2021. Expected project start: Aug/Sep 2021</b></p><div><span style="background-color:initial"><strong>Dat</strong></span><span style="background-color:initial"><strong>a driven research</strong> is becoming increasingly important for many research activities at Chalmers. A large </span><span style="background-color:initial">need also exists for research connected to energy transitions to meet climate targets. As new sources of data become available connected to energy and climate research there is potential for innovative research, but this does not come without related challenges. To extract valuable patterns from large data sets and handle the challenges, the Energy Area of Advance, CHAIR (Chalmers AI Research Centre), and ICT Area of Advance, issue this call to provide funding and expertise for research projects, together with the Data Science Research Engineers (DSRE) initiative funded by Chalmers e-Commons. </span></div> <div><span style="background-color:initial"><br /></span></div> <div><span style="background-color:initial"><strong>All projects have to include</strong> an emphasis on methods from data science and machine learning to use and extract patterns from data in the domains of energy and climate research. The funding applied for has to be used during an expected project duration of approximately 6 months, and 1-2 data science research engineers will provide support (outside the budget applied for) to implement and evaluate methods for data handling and analysis in the projects.</span><br /></div> <div><br /></div> <div><strong>We welcome proposals </strong>in a relatively wide span: Ranging from the relevant and basic natural sciences, to the design, prototyping, and analysis of energy and climate-related technologies, on to energy and climate systems analysis. Examples related to energy technologies include electricity grids, process industries, energy end-use, energy conversion technologies, technology innovation systems, and energy in transport. One of the aims is to create new collaborations between the research areas Energy, Climate, and ICT, by supporting specific research projects in need of extracting patterns and using novel methods to analyse data.</div> <div><br /></div> <div><strong>Requirements:</strong></div> <div><ul><li>The data science research engineers will provide collaboration and support in new, or existing projects, by application of data science and AI methods to extract patterns out of one or a few specific data sources to answer the research questions at hand.</li> <li>The level of involvement of the data science research engineers should be not less than 30% of full time equivalent, and not larger than 50% full time equivalent during a period of 6 months.</li> <li>The projects should preferably start in August/September 2021. Exact date can be discussed.</li> <li>The budget applied for should not exceed 200 kSEK including indirect costs (OH). The budget can cover personnel costs, the purchase of equipment and data, or to cover time for researchers working on the related research project. The budget should not cover the involvement of the data science research engineers which is provided as part of the project.</li> <li>The proposal for the support and collaboration should have a connection to energy and/or climate research with clear potential and/or clear challenges to analyse the data. It is useful to highlight what data is already available, or what data collection from what data source (natural, technological, or social) that needs to be performed during the scope of the project.<br /><br /></li></ul></div> <div><strong>The proposal form:</strong></div> <div><span style="background-color:initial">T</span><span style="background-color:initial">he application is supposed to be simple and straightforward without extensive overhead: It should be maximum 3 pages long (preferrably 1-2 pages to describe the background and the main research idea). Please use font 11pt Times–roman. A one-page CV of the main applicant and main project participants should be added. Maximum four such CVs can be added on.</span><br /></div> <div><br /></div> <div><strong>The proposal should include:</strong></div> <div>a) Project title.</div> <div>b) The main applicants: Name and e-mail and department.</div> <div>c) The preferred starting date and ending date for the project.</div> <div>d) A short overview of the project, with its research challenges and objectives and what novel possibilities you see in using data science or AI in your domain/research area.</div> <div>e) A description of the type, size and availability of the data to be used in the projects including current availability and any restrictions in of use from intellectual property restrictions or so.</div> <div>f) A concrete description of how you would start to work together with the data science research engineers to extract patterns from data.</div> <div>g) The different types of expertise in the project (what type of expertise, and the expected involvement). Note: interaction with the DSRE team about this during writing of the proposal is recommended, see below.</div> <div>h) The expected outcome (including dissemination/publication plan) and its potential for further research/activities.</div> <div>i) The project overall time-line and budget (expenses on your side); in the budget, please clarify planned spending during 2021 and 2022 as the project is expected to run into 2022.</div> <div><br /></div> <div><strong>Important dates:</strong></div> <div>Submission deadline: June 6, 2021</div> <div>Notification: June 2021</div> <div>Expected project start: Aug/Sep 2021</div> <div><br /></div> <div><strong>Evaluation Criteria:</strong></div> <div><ul><li>​How innovative is the project in your research domain?</li> <li>How central is the use of data sources in the project?</li> <li>How high is the potential impact of the project for its research field?</li> <li>Cross-disciplinarity: Does the project mix ideas or re<span style="background-color:initial">searchers from more than one discipline?</span></li> <li>Are there methods from data science and machine learning to extract patterns from data?</li></ul></div> <div><br /></div> <div>The unit of data science research engineers is available to provide brief feedback about the proposals during the weeks leading up to the submission deadline, drawing on <a href="">experience from previous projects</a>. This will ensure writing a proposal that clarifies available data and proposes relevant methods. They can be contacted through the mailing list to seek feedback in the formulation of the proposal.</div> <div><br /></div> <div><strong>Submission:</strong></div> <div>The application should be submitted as one PDF document to</div> <div><a href=""></a></div> <div><br /></div> <div>The proposals will be evaluated by the AoA Energy management group and a selected group of senior researchers across different areas and departments at Chalmers, and will be decided by the directors of the AoA Energy management group, director of CHAIR, and the unit manager of the data science research engineers.</div> <div><br /></div> <div><strong>General questions about the call can be addressed to:</strong><br />Anders Ådahl <a href=""></a><br />Vilhelm Verendel <a href=""></a><br />Ivica Crnkovic <a href="">​​</a><br /><br />General information about the research within the Energy Area of Advance, CHAIR, and ICT Area of Advance can be found at <a href="/"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" /></a><br /><br /><strong>More info:</strong><br /><a href="/en/centres/chair/Pages/default.aspx"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/ichtm.gif" alt="" />Chalmers AI Research Centre</a><br /></div> <div><br /></div> Tue, 11 May 2021 00:00:00 +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 Poulsen, professor of Chemistry and Chemical Engineering and head of Division Applied Chemistry at Chalmers,</span><span> will be joining the webinar to present his 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 demonstrating 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 Poulsen</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 generated proteins will speed up drug development<p><b>​Artificial Intelligence is now capable of generating novel, functionally active proteins, thanks to recently published work by researchers from Chalmers. “What we are now able to demonstrate offers fantastic potential for a number of future applications, such as faster and more cost-efficient development of protein-based drugs,” says Aleksej Zelezniak, Associate Professor at the Department of Biology and Biological Engineering. ​</b></p><p class="chalmersElement-P">​P<span>roteins are large, complex molecules that play a crucial role in all living cells, building, modifying, and breaking down other molecules naturally inside our cells. They are also widely used in industrial processes and products, and in our daily lives. </span></p> <p class="chalmersElement-P">Protein-based drugs are very common – the diabetes drug insulin is one of the most prescribed. Some of the most expensive and effective cancer medicines are also protein-based, as well as the antibody formulas currently being used to treat COVID-19.</p> <p class="chalmersElement-P"> </p> <h2 class="chalmersElement-H2">From computer design to wo​rking proteins in just a few weeks</h2> <p class="chalmersElement-P"> </p> <p class="chalmersElement-P">Current methods used for protein engineering rely on introducing random mutations to protein sequences. However, with each additional random mutation introduced, the protein activity declines. </p> <p class="chalmersElement-P"> </p> <p class="chalmersElement-P">“Consequently, one must perform multiple rounds of very expensive and time-consuming experiments, screening millions of variants, to engineer proteins and enzymes that end up being significantly different from those found in nature,” says research leader Aleksej Zelezniak, continuing: </p> <p class="chalmersElement-P"> </p> <p class="chalmersElement-P">“This engineering process is very slow, but now we have an AI-based method where we can go from computer design to working protein in just a few weeks.” </p> <p class="chalmersElement-P"> </p> <p class="chalmersElement-P">The new results from the Chalmers researchers were recently published in the journal Nature Machine Intelligence and represent a breakthrough in the field of synthetic proteins. Aleksej Zelezniak’s research group and collaborators have developed an AI-based approach called ProteinGAN, which uses a generative deep learning approach. </p> <p class="chalmersElement-P"> </p> <p class="chalmersElement-P">In essence, the AI is provided with a large amount of data from well-studied proteins; it studies this data and attempts to create new proteins based on it. </p> <p class="chalmersElement-P"> </p> <p class="chalmersElement-P">At the same time, another part of the AI tries to figure out if the synthetic proteins are fake or not. The proteins are sent back and forth in the system until the AI cannot tell apart natural and synthetic proteins anymore. This method is well known for creating photos and videos of people who do not exist, but in this study, it was used for producing highly diverse protein variants with naturalistic-like physical properties that could be tested for their functions.</p> <p class="chalmersElement-P"><span style="background-color:initial;font-family:inherit">The proteins widely used in everyday products are not always entirely natural but are made through synthetic biology and protein engineering techniques. Using these techniques, the original protein sequences are modified in the hope of creating synthetic novel protein variants that are more efficient, stable, and tailored towards particular applications. </span></p> <p class="chalmersElement-P">The new AI-based approach is of importance for developing efficient industrial enzymes as well as new protein-based therapies, such as antibodies and vaccines.</p> <p class="chalmersElement-P"> </p> <h2 class="chalmersElement-H2">A cost-efficient and sustainable model</h2> <p class="chalmersElement-P"> </p> <p class="chalmersElement-P">Assistant Professor Martin Engqvist, also of the Department of Biology and Biological Engineering, was involved in designing the experiments to test the AI synthesised proteins. </p> <p class="chalmersElement-P"> </p> <p class="chalmersElement-P">“Accelerating the rate at which we engineer proteins is very important for driving down development costs for enzyme catalysts. This is the key for realising environmentally sustainable industrial processes and consumer products, and our AI model, as well as future models, will enable that. Our work is a vital contribution in that context” says Martin Engqvist.</p> <p class="chalmersElement-P"> </p> <p class="chalmersElement-P">“This kind of work is only possible in the type of multidisciplinary environment that exists at our Division – at the interface of computer science and biology. We have perfect conditions to experimentally test the properties of these AI-designed proteins,” says Aleksej Zelezniak. </p> <p class="chalmersElement-P"> </p> <p class="chalmersElement-P">The next step for the researchers is to explore how the technology could be used for specific improvements to protein properties, such as increased stability, something which could have great benefit for proteins used in industrial technology. </p> <p class="chalmersElement-P"><span style="font-weight:700">Text</span><span>: Susanne Nilsson Lindh, Mia Halleröd Palmgren &amp; Joshua Worth</span><br /></p> <p class="chalmersElement-P"><br /></p> <p class="chalmersElement-P"> </p> <p class="chalmersElement-P"><strong>More about: The research project </strong></p> <p class="chalmersElement-P"> </p> <p class="chalmersElement-P"></p> <ul><li>The study was conducted within a collaboration between Chalmers University of Technology, Vilnius University Life Sciences Centre in Lithuania, and the company Biomatter Designs. </li> <li>Read the article <a href="">“Expanding functional protein sequence spaces using generative adversarial networks&quot;​</a> in Nature Machine Intelligence. </li></ul> <p></p> <div> </div> <div> <span style="background-color:initial"></span></div>Tue, 30 Mar 2021 07:00:00 +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"></span><span style="background-color:initial"></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></strong></span><span><strong></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></b><b></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 style="font-weight:700;background-color:initial">Karinne Ramirez-Amaro, ​</span><b>Emmanuel Dean, Kristofer Bengtsson, Lauri Vänttinen and Abhshek Shetty ​<br /></b><span style="background-color:initial">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></strong></span><span><strong></strong></span><span><strong> </strong></span><span><strong>Kar</strong></span><b>ayiannidis</b><b></b><b></b><b></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"></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"></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></b></span><span><b></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