Events: Data- och informationsteknikhttp://www.chalmers.se/sv/om-chalmers/kalendariumUpcoming events at Chalmers University of TechnologyWed, 28 Sep 2022 15:39:55 +0200http://www.chalmers.se/sv/om-chalmers/kalendariumhttps://www.chalmers.se/en/centres/chair/events/AI-Ethics/Pages/AI-Ethics-with-Michael-Cohen.aspxhttps://www.chalmers.se/en/centres/chair/events/AI-Ethics/Pages/AI-Ethics-with-Michael-Cohen.aspxAI Ethics with Michael Cohen<p>Online, register to receive the link</p><p>​Advanced artificial agents intervene in the provision of reward</p><div>​<img src="/SiteCollectionImages/Centrum/CHAIR/events/Michael%20Cohen.jpg" alt="Photo of Michael Cohen" class="chalmersPosition-FloatRight" style="margin:5px" /></div> <div>We analyze the expected behavior of an advanced artificial agent with a learned goal planning in an unknown environment. Given a few assumptions, we argue that it will encounter a fundamental ambiguity in the data about its goal. </div> <div><br /></div> <div>For example, if we provide a large reward to indicate that something about the world is satisfactory to us, it may hypothesize that what satisfied us was the sending of the reward itself; no observation can refute that. Then we argue that this ambiguity will lead it to intervene in whatever protocol we set up to provide data for the agent about its goal. We discuss an analogous failure mode of approximate solutions to assistance games, and review some recent approaches that may avoid this problem.</div> <div>This is joint work with Marcus Hutter and Michael Osborne.</div> <br /><div><strong>Michael Cohen</strong> is studying for a DPhil in Engineering Science at the University of Oxford. His research considers the expected behavior of generally intelligent artificial agents, and he is interested in designing agents that we can expect to behave safely.</div> <div><br /></div> <a href="https://ui.ungpd.com/Surveys/5ee74a32-be4f-48f1-aff0-6c57ffbf0c77" target="_blank"><div><br /></div> <div>Register here to receive the link to the seminar</div></a><div><br /></div>https://www.chalmers.se/en/areas-of-advance/health/calendar/Pages/Master-and-bachelor-thesis-fair-health-and-technology.aspxhttps://www.chalmers.se/en/areas-of-advance/health/calendar/Pages/Master-and-bachelor-thesis-fair-health-and-technology.aspxMaster’s and bachelor’s thesis fair in health and technology<p>Lecture Hall Palmstedt, university building, Chalmersplatsen 2, Campus Johanneberg</p><p>On 12 October it is time for the autumn’s physical master’s thesis fair, this time at Chalmers. The fair is a joint venture between Chalmers, the University of Gothenburg and Sahlgrenska University Hospital. New this time is that the fair will also include bachelor’s thesis projects at Chalmers.  ​​​​​​​​​​</p><div><div><span style="background-color:initial"><img src="/SiteCollectionImages/Areas%20of%20Advance/Health/Toppbilder/Exjobbsmassa_2022.jpg" alt="" style="margin:5px" /><br /><em>Participants at the master's thesis fair in May 2022. Foto: Anna Rehnberg.​<br /></em><br /><br /></span></div> <div><a href="https://ui.ungpd.com/Surveys/c4a96e7e-96dd-4761-93d2-56d6da341404" target="_blank"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" />​RE​GISTRATION FOR SUPERVISORS</a>, AT THE LATEST 29 SEPTEMBER<br /><br /><div><a href="https://ui.ungpd.com/Surveys/94ce8e89-cd7d-4d62-a9d4-18ca59e9ce79" target="_blank"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" />REGISTRATION FOR STUDENTS</a>, AT THE LATEST 4 OCTOBER<br />​</div> <span style="background-color:initial"></span></div> <div><span style="background-color:initial">The aim of the fair is to offer students from Chalmers and the University of Gothenburg (The Faculty of Science and Sahlgrenska Academy) the opportunity to work with interdisciplinary projects within the fields of health and technology. At the last master’s thesis fair held this spring, approximately 30 project proposals were presented to interested students. </span><br /></div> <div><br /></div> <div><strong>The fair is aimed at master’s students mainly, but bachelor’s thesis projects will be included for students at Sahlgrenska Academy and for Master of Science students at Chalmers with an interest in medical engineering. </strong><br /> </div> <div><strong>Supervisors wanted</strong></div> <div>Are you working on a project that is suitable for a degree project in the intersection between health and technology, or another research area that bridges the gap between Chalmers, the University of Gothenburg and Sahlgrenska University Hospital? <strong>Register no later than 29 September.</strong></div> <div><br /></div> <div>Potential supervisors from Chalmers, the University of Gothenburg and Sahlgrenska University Hospital will have the opportunity to present their projects to a joint group of students at Chalmers and the University of Gothenburg. After that, the students have the opportunity to ask questions and discuss the projects with the supervisors. </div> <div><br /></div> <div>For researchers, this is an opportunity to reach a wider audience of students when advertising project ideas. For students, the fair offers a unique possibility to work side-by-side together with students and researchers that have different competences, and in some projects that will be co-supervised by PI:s with both clinical and engineering background.</div> <div><br /></div> <div><br /></div> <div><strong>When and where</strong></div> <div><br /></div> <div><strong>When: </strong>Wednesday 12 October, 13:00-17:00</div> <div><br /></div> <div><strong>Where:</strong> Palmstedtsalen, Chalmers conference centre, Chalmersplatsen 2</div> <div><br /></div> <div><br /></div> <div><strong>Preliminary program</strong></div> <div><br /></div> <div>13:00-14:00 – Bachelor’s thesis project presentations</div> <div><br /></div> <div>14:00-15:00 – Coffee with a chance for students and supervisors to mingle</div> <div><br /></div> <div>15:00-16:30 – Master’s thesis project presentations</div> <div><br /></div> <div>16:30-17.00 – Mingle</div> <div><br /></div> <div><strong>Registration<br /><br /></strong></div> <div><a href="https://ui.ungpd.com/Surveys/c4a96e7e-96dd-4761-93d2-56d6da341404">Registration​</a> for supervisors (with preliminary project title) at the latest 29 September </div> <div><br /></div> <div><strong>Information for researchers/PI:s<br /><br /></strong></div> <div>Please prepare two slides in English and a 2-3 minutes presentation. The slides should be in the 16:9 format, saved as pdf, and contain:<br /><br /></div> <div>•<span style="white-space:pre"> </span>Presentation of your research and the proposed master’s or bachelor’s thesis project</div> <div>•<span style="white-space:pre"> </span>Number of students suitable for the master’s or bachelor’s thesis project</div> <div>•<span style="white-space:pre"> </span>Prior knowledge needed for the students to be eligible</div> <div>•<span style="white-space:pre"> </span>Contact information containing name of contact person, department and division of contact person, email address, home page for more information (if available).<br /><br /></div> <div><strong>The slides need to be submitted to us one week prior to the fair, on 5 October,</strong> in order for us to arrange the event. Please send your slides to <a href="mailto:healthengineering@chalmers.se">healthengineering@chalmers.se​</a>. </div> <div><br /></div> <div>The presentation slides will be printed and displayed on screens to inspire discussions during the mingle sessions. </div> <div><br /></div> <div>The slides will also be sent to the students after the fair. As an option, you can also send an additional onepager pdf about the project, which will then be sent to the students instead of the slides.</div> <div><br /></div> <div>If you have questions regarding the event, please send an email to Director of Health Engineering Area of Advance at Chalmers, <a href="mailto:cans@chalmers.se">Ann-Sofie Cans​</a>.</div></div> <div><br /></div> ​​https://www.chalmers.se/en/departments/e2/calendar/Pages/CHAIR-föreläsning-221006.aspxhttps://www.chalmers.se/en/departments/e2/calendar/Pages/CHAIR-f%C3%B6rel%C3%A4sning-221006.aspxAI for visual synthesis, cellular networks, drug development and autonomous driving<p>HB4, lecture hall, Hörsalar HB, Campus Johanneberg</p><p>The first one of these open guest lectures (at 13:15-14:00) will be available in the lecture hall, or by Zoom. The other ones will only be available in the lecture hall.</p><div><div><strong>​13:15-14:00:</strong></div> <h2 class="chalmersElement-H2">Deep Generative Models, Stable Diffusion, and the Revolution in Visual Synthesis.</h2> <h3 class="chalmersElement-H3">Speaker: Björn Ommer.</h3></div> <div><br /></div> <div><span><strong>Abstract:</strong><br />Recently, deep generative modeling has become the most prominent paradigm for learning powerful representations of our (visual) world and for generating novel samples thereof. Consequently, they have already become the main building block for numerous algorithms and practical applications. This talk will contrast the most commonly used generative models to date with a particular focus on denoising diffusion probabilistic models, the core of the currently leading approaches to visual synthesis. Despite their enormous potential, these models come with their own specific limitations. We will then discuss a solution, latent diffusion models a.k.a. &quot;Stable Diffusion&quot;, that significantly improves the efficiency of diffusion models. Now billions of training samples can be summarized in compact representations of just a few gigabyte so that the approach runs on even consumer GPUs. Time permitting, the talk will conclude with an outlook on current extensions and future work.<span><br /></span></span></div> <div><span><span><br /></span></span></div> <div><strong>Short Bio:</strong></div> Björn Ommer is a full professor at the University of Munich where he is heading the Machine Vision and Learning Group. Before he was a full professor in the department of mathematics and computer science at Heidelberg University. He received his diploma in computer science from University of Bonn and his PhD from ETH Zurich. Thereafter, he was a postdoc in the vision group of Jitendra Malik at UC Berkeley. <br />Björn serves as an associate editor for IEEE T-PAMI and previously for Pattern Recognition Letters. His research interests include semantic scene understanding, visual synthesis and retrieval, self-supervised metric and representation learning, and explainable AI. Moreover, he is applying this basic research in interdisciplinary projects within the digital humanities and the life sciences.<br /> <br /><a href="https://ommer-lab.com/research/latent-diffusion-models">https://ommer-lab.com/research/latent-diffusion-models</a><br /><a href="https://compvis.github.io/taming-transformers">https://compvis.github.io/taming-transformers</a><br /><a href="https://thealgorithmicbridge.substack.com/p/stable-diffusion-is-the-most-important"><br /></a><div><a href="https://thealgorithmicbridge.substack.com/p/stable-diffusion-is-the-most-important">https://thealgorithmicbridge.substack.com/p/stable-diffusion-is-the-most-important<br /></a></div> <div><a href="https://huggingface.co/spaces/stabilityai/stable-diffusion">https://huggingface.co/spaces/stabilityai/stable-diffusion </a><br /></div> <div><br /></div> <span></span><h3 class="chalmersElement-H3"><span>The rest of the lectures, available in the lecture hall only:<br /></span></h3> <div><ul><li><span><strong>14.15-14.30</strong>, Ericsson: AI/ML for future cellular networks. Speakers: <strong>Dr Jingya Li,</strong>  and <strong>Dr Sven Jacobsson</strong></span></li> <li><span><strong>14.30-14.45</strong>, Astra Zeneca: Deep Learning and AI at Astra Zeneca. Speaker: <strong>Dr Emil Gustavsson</strong></span></li> <li><span><strong>14.45-15.0</strong><strong>0</strong>, Zenseact: Deep learning for autonomous driving. Speaker: <strong>Dr. Christoffer Petersson</strong></span></li></ul> <span><br />This seminar is given as part of the course <em>SSY340 Deep machine learning</em>.<br />If you have any questions, please contact <a href="/en/staff/Pages/lennart-svensson.aspx" target="_blank">Lenn</a><span>art Svensson</span>.<br /></span></div> <div><br /></div> <div><strong><em>Welcome to join!</em></strong><em></em></div>https://www.chalmers.se/en/areas-of-advance/ict/calendar/Pages/AI4Science-with-Rianne-van-den-Berg.aspxhttps://www.chalmers.se/en/areas-of-advance/ict/calendar/Pages/AI4Science-with-Rianne-van-den-Berg.aspxAI4Science with Rianne van den Berg<p>Online</p><p>​AI4Science at Microsoft Research</p><div>​<img src="/SiteCollectionImages/Centrum/CHAIR/events/Rianne%20van%20den%20Berg%20web.jpg" alt="Photo of Rianne van den Berg" class="chalmersPosition-FloatRight" style="margin:5px" /><br />In July 2022, Microsoft announced a new global team in Microsoft Research, spanning the UK, China and the Netherlands, to focus on AI for science. In September, 2022 we announced that we have also opened a new lab in Berlin, Germany.</div> <div><br /></div> <div>In this talk I will first discuss the research areas that we are currently exploring in AI4Science at Microsoft Research in Cambridge (UK), Amsterdam and in our new lab in Berlin, covering topics such as drug discovery, material generation, neural PDE solvers, electronic structure theory and computational catalysis.</div> <div><br /></div> <div>Then I will dive a little deeper into our recent work on Clifford Neural layers for PDE modeling. The PDEs of many physical processes describe the evolution of scalar and vector fields. In order to take into account the correlation between these different fields and their internal components, we represent these fields as multivectors, which consist of scalar, vector, as well as higher-order components. Their algebraic properties, such as multiplication, addition and other arithmetic operations can be described by Clifford algebras, which we use to design Clifford convolutions and Clifford Fourier transforms.</div> <div><br /></div> <div>We empirically evaluate the benefit of Clifford neural layers by replacing convolution and Fourier operations in common neural PDE surrogates by their Clifford counterparts on two-dimensional Navier-Stokes and weather modeling tasks, as well as three-dimensional Maxwell equations.</div> <div><br /></div> <div>If time permits, I will briefly cover very recent work on protein structure prediction and coarse graining molecular dynamics.</div> <br /><div><strong>Rianne van den Berg</strong> is a Principal Researcher at Microsoft Research Amsterdam, where she works as part of the AI4Science team on the intersection of deep learning and computational chemistry. Her research has spanned a range of topics from generative modeling, variational inference, source compression, graph-structured learning to condensed matter physics.</div> <div><br /></div> <div>Before joining MSR she was a Research Scientist at Google Brain. She received her PhD in theoretical condensed-matter physics in 2016 at the University of Amsterdam, where she also worked as a postdoctoral researcher as part of the Amsterdam Machine Learning Lab (AMLAB). In 2019, she won the Faculty of Science Lecturer of the Year award at the University of Amsterdam, for teaching a machine learning course in the master of AI.</div> <br /><div><a href="https://chalmers.zoom.us/j/67017613342" target="_blank"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" />Connect via Zoom</a></div> <div><strong>Password:</strong> ai4science </div>https://www.chalmers.se/en/areas-of-advance/production/calendar/Pages/Recycling-of-Critical-Raw-Materials-for-Solar-Cell-Industry.aspxhttps://www.chalmers.se/en/areas-of-advance/production/calendar/Pages/Recycling-of-Critical-Raw-Materials-for-Solar-Cell-Industry.aspx​Solar Cell Recycling<p>online</p><p>​Welcome to listen to Burçak Ebin, when he talks about &quot;​Recycling of Critical Raw Materials for Solar Cell Industry from Production Waste and End-of-Life Solar Modules​&quot;.</p><div><br /></div> <div><b>DATE:</b> 8 DEC, 2022</div> <div><b>TIME: </b>11:00-12:00</div> <div>30 min talk, then 30 min for Q&amp;A</div> <div><b><a href="https://ui.ungpd.com/Surveys/39807056-3ade-4459-984e-0a3c6ebb1dc3" target="_blank">ONLINE. Please register for Zoom link and password.​</a></b> You can register until the event starts.</div> <div><br /></div> <div><b>ABSTRACT</b></div> <div>Solar energy is accepted as the key to a clean energy future and limiting the effects of climate change. The energy transformation from fossil fuels to renewable sources has significant challenges due to raw material shortages. International Energy Agency has an ambitious target to reach photovoltaic (PV) solar panel capacity that covers more than 20% of the global energy demand. Although policymakers and manufacturers draw a bright future, natural source limitation is a nightmare for PV technology. Additionally, end-of-life solar panels will dramatically affect the waste stream, and currently, there is no sustainable recycling for their waste. </div> <div>Our research maps the critical metals for PV industry and their circularity and developing recycling processes of these metals from manufacturing and end-of-life waste. The analysis clearly showed that silver, indium, and gallium supplies are the bottlenecks of the industry due to resource limitations and the importance of the other industrial applications of these metals. Although recycling critical metals from production waste requires straightforward processes, there are still technical and economical challenges to implementation. Considering end-of-life PV modules, their recycling requires a com​bination of mechanical, pyrometallurgical and hydrometallurgical processing approaches. </div> <div><br /></div> <div><br /></div> <div><a href="/en/staff/Pages/Burcak-Ebin.aspx">Dr. Burcak Ebin​</a>, <span style="background-color:initial">Associate Professor, Department of Chemistry and Chemical Engineering, Industrial Materials Recycling, </span><span style="background-color:initial">is working on recycling of alkaline, NiMH and Li-ion battery waste by pyrometallurgical processes. In the case of the pyrometallurgical processes, there are two possibilities of treatment: processes of secondary metallurgy, which uses batteries as raw material, and processes created specifically for batteries.</span></div> <span></span><div></div> <div><p class="MsoNormal" style="margin:0cm;font-size:11pt;font-family:calibri, sans-serif"><b><a href="/en/departments/chem/news/Pages/Perfecting-the-EV-battery-recycling-process.aspx" target="_blank"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/ichtm.gif" alt="" />Learn more about the recycling research​</a></b></p></div> <div><br /></div> <div><em>This event is part of the Production Area of Advance seminar series, for community building and sharing knowledge among researchers within the production area. But it's open to all interested, with very few exceptions.</em><br /></div> <div><em><br /></em></div> <div></div>