News: Centre ChaseOn related to Chalmers University of TechnologySat, 01 Oct 2022 04:41:39 +0200​Time to inaugurate all-wise computer resource<p><b>​Alvis is an old Nordic name meaning &quot;all-wise&quot;. An appropriate name, one might think, for a computer resource dedicated to research in artificial intelligence and machine learning. The first phase of Alvis has been used at Chalmers and by Swedish researchers for a year and a half, but now the computer system is fully developed and ready to solve more and larger research tasks.​</b></p><br /><div><img src="/SiteCollectionImages/Areas%20of%20Advance/Information%20and%20Communication%20Technology/300x454_Alvis_infrastructure_1.png" alt="A computer rack" class="chalmersPosition-FloatRight" style="margin:10px;width:270px;height:406px" />Alvis is a national computer resource within the <strong><a href="">Swedish National Infrastructure for Computing, SN​IC,</a></strong> and started on a small scale in the autumn of 2020, when the first version began being used by Swedish researchers. Since then, a lot has happened behind the scenes, both in terms of use and expansion, and now it's time for Chalmers to give Swedish research in AI and machine learning access to the full-scale expanded resource. The digital inauguration will take place on <span style="font-weight:normal"><a href="/en/areas-of-advance/ict/calendar/Pages/Alvis-inauguration-phase-2.aspx">February 25, 202</a>2.</span></div> <div><br /></div> <div><b>What can Alvis contribute to, then? </b>The purpose is twofold. On the one hand, one addresses the target group who research and develop methods in machine learning, and on the other hand, the target group who use machine learning to solve research problems in basically any field. Anyone who needs to improve their mathematical calculations and models can take advantage of Alvis' services through SNIC's application system – regardless of the research field.</div> <div><span style="background-color:initial">&quot;Simply put, Alvis works with pattern recognition, according to the same principle that your mobile uses to recognize your face. What you do, is present very large amounts of data to Alvis and let the system work. The task for the machines is to react to patterns - long before a human eye can do so,&quot; says <b>Mikael Öhman</b>, system manager at Chalmers e-commons.</span><br /></div> <div><br /></div> <h3 class="chalmersElement-H3">How can Alvis help Swedish research?</h3> <div><b>Thomas Svedberg</b> is project manager for the construction of Alvis:</div> <div>&quot;I would say that there are two parts to that answer. We have researchers who are already doing machine learning, and they get a powerful resource that helps them analyse large complex problems.</div> <div>But we also have those who are curious about machine learning and who want to know more about how they can work with it within their field. It is perhaps for them that we can make the biggest difference when we now can offer quick access to a system that allows them to learn more and build up their knowledge.&quot;</div> <div><br /></div> <div>The official inauguration of Alvis takes place on February 25. It will be done digitally, and you will find all <a href="/en/areas-of-advance/ict/calendar/Pages/Alvis-inauguration-phase-2.aspx">information about the event here.</a></div> <div><br /></div> <h3 class="chalmersElement-H3">Facts</h3> <div>Alvis, which is part of the national e-infrastructure SNIC, is located at Chalmers. <a href="/en/researchinfrastructure/e-commons/Pages/default.aspx">Chalmers e-commons</a> manages the resource, and applications to use Alvis are handled by the <a href="">Swedish National Allocations Committee, SNAC</a>. Alvis is financed by the <b><a href="">Knut and Alice Wallenberg Foundation</a></b> with SEK 70 million, and the operation is financed by SNIC. The computer system is supplied by <a href="" target="_blank">Lenovo​</a>. Within Chalmers e-commons, there is also a group of research engineers with a focus on AI, machine learning and data management. Among other things, they have the task of providing support to Chalmers’ researchers in the use of Alvis.</div> <div> </div> <h3 class="chalmersElement-H3">Voices about Alvis:</h3> <div><b>Lars Nordström</b>, director of SNIC: &quot;Alvis will be a key resource for Swedish AI-based research and is a valuable complement to SNIC's other resources.&quot;</div> <div><br /></div> <div><span style="background-color:initial"><strong>Sa</strong></span><span style="background-color:initial"><strong>ra Mazur</strong>, Director of Strategic Research, Knut and Alice Wallenberg Foundation: &quot;</span>A high-performing national computation and storage resource for AI and machine learning is a prerequisite for researchers at Swedish universities to be able to be successful in international competition in the field. It is an area that is developing extremely quickly and which will have a major impact on societal development, therefore it is important that Sweden both has the required infrastructure and researchers who can develop this field of research. It also enables a transfer of knowledge to Swedish industry.&quot;<br /></div> <div><br /></div> <div><b>Philipp Schlatter</b>, Professor, Chairman of SNIC's allocation committee Swedish National Allocations Committee, SNAC: &quot;Calculation time for Alvis phase 2 is now available for all Swedish researchers, also for the large projects that we distribute via SNAC. We were all hesitant when GPU-accelerated systems were introduced a couple of years ago, but we as researchers have learned to relate to this development, not least through special libraries for machine learning, such as Tensorflow, which runs super fast on such systems. Therefore, we are especially happy to now have Alvis in SNIC's computer landscape so that we can also cover this increasing need for GPU-based computer time.&quot;</div> <div><br /></div> <div><strong>Scott Tease</strong>, Vice President and General Manager of Lenovo’s High Performance Computing (HPC) and Artificial Intelligence (AI) business: <span style="background-color:initial">“Lenovo </span><span style="background-color:initial">is grateful to be selected by Chalmers University of Technology for the Alvis project.  Alvis will power cutting-edge research across diverse areas from Material Science to Energy, from Health care to Nano and beyond. </span><span style="background-color:initial">Alvis is truly unique, built on the premise of different architectures for different workloads.</span></div> <div>Alvis leverages Lenovo’s NeptuneTM liquid cooling technologies to deliver unparalleled compute efficiency.  Chalmers has chosen to implement multiple, different Lenovo ThinkSystem servers to deliver the right NVIDIA GPU to their users, but in a way that prioritizes energy savings and workload balance, instead of just throwing more underutilized GPUs into the mix. Using our ThinkSystem SD650-N V2 to deliver the power of NVIDIA A100 Tensor Core GPUs with highly efficient direct water cooling, and our ThinkSystem SR670 V2 for NVIDIA A40 and T4 GPUs, combined with a high-speed storage infrastructure,  Chalmers users have over 260,000 processing cores and over 800 TFLOPS of compute power to drive a faster time to answer in their research.”</div> <div><br /></div> <div><br /></div> <div><a href="/en/areas-of-advance/ict/calendar/Pages/Alvis-inauguration-phase-2.aspx" target="_blank"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/ichtm.gif" alt="" /></a><a href="/en/areas-of-advance/ict/calendar/Pages/Alvis-inauguration-phase-2.aspx">SEE INAUGURATION PROGRAMME​</a></div> <div><br /></div> <div><em>Text: Jenny Palm</em></div> <em> </em><div><em>Photo: Henrik Sandsjö</em></div> <div><em>​<br /></em></div> <div><em><img src="/SiteCollectionImages/Areas%20of%20Advance/Information%20and%20Communication%20Technology/750x422_Alvis_infrastructure_3_220210.png" alt="Overview computor" style="margin:5px;width:690px;height:386px" /><br /><br /><br /></em></div> <div><br /></div> <div><br /></div> ​Sun, 13 Feb 2022 00:00:00 +0100 automated fact-checkers clean up the mess?<p><b>​The dream of free dissemination of knowledge seems to be stranded in fake news and digital echo chambers. Even basic facts seem hard to be agreed upon. So is there hope in the battle to clean up this mess?  </b></p>​Yes! Many efforts are made within the Information and Communications Technology (ICT) research area to find solutions. Learn more about it at our <span style="background-color:initial">seminar, focusing on automated fact-checking, both in research and practice.</span><div><div><br /></div> <div><b>DATE: </b>18 November 2021 (The date has already passed, but see the film from the seminar, link below)</div> <div><b>TIME: </b>09:45–12:00 CET</div> <div><b style="background-color:initial">LOCATION:</b><span style="background-color:initial"> Online or at Lingsalen, Studenternas Hus, Götabergsgatan 17 </span><span style="background-color:initial">​(Registration link below</span><span style="background-color:initial">). </span><br /></div> <div><em>Note! The physical seminar is only for students and staff at Chalmers and University of Gothenburg.</em></div> <div><br /></div> <div><div><a href="" target="_blank" title="link to Youtube"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" />SEE THE FILM FROM THE SEMINAR​</a></div> <span style="background-color:initial"></span><div><br /><span style="background-color:initial"></span><div><div> <h3 class="chalmersElement-H3">AGENDA​</h3> <div><div></div> <div><div><b>09:45 Introduction </b></div> <div><b>Erik Ström</b>, Director, Information and Communications Technology Area of Advance</div> <div><b>10:00 Looking for the truth in the post-truth era</b></div> <div><b>Ivan Koychev,</b> University of Sofia, Bulgaria. He gives a brief overview of automatically finding the claims and facts in texts along with confirmation or refutation.</div> <div><b>10:30 Computational Fact-Checking for Textual Claims</b></div> <div><b>Paolo Papotti,</b> Associate Professor, EURECOM, France. He will cover the opportunities and limitations of computational fact-checking and its role in fighting misinformation. He will also give examples from the &quot;infodemic&quot; associated with the COVID-19 pandemic.</div> <div><b>11:00 Pause</b></div> <div><b>11:10 Panel discussion. </b></div> <div><b>In the panel:</b></div> <div>Moderator <b>Graham Kemp</b>, professor, Department of Computer Science and Engineering, Chalmers. </div> <div><b>Sheila Galt</b>, retired professor of Applied Electromagnetics, Chalmers. Engaged researcher in the Swedish Skeptics Association (Vetenskap och Folkbildning, VoF) for many years.</div> <div><b>Bengt Johansson</b>, professor in Journalism, University of Gothenburg. He has a strong focus on the field of media, power, and democracy. </div> <div><b>Jenny Wiik</b>, researcher and project leader for Media &amp; Democracy. Her research is looking into, e.g., automation of journalism. </div> <div>The keynotes, <b>Ivan Koychev</b> and <b>Paolo Papotti </b>are also part of the discussion.</div> <div><b>12:00 The end​</b></div></div> <div><b><br /></b></div> <div></div></div> <div><em>Chalmers ICT Area of Advance arranges this event as part of the Act Sustainable week.</em></div> <div><br /></div> <div><a href="" target="_blank" title="link to the Act Sustainable website"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" />Read more and register</a> (at theAct Sustainable website)</div> <div><a href="" target="_blank" title="link to the Act Sustainable website"></a><a href="" target="_blank" title="Link to start page Act Sustainable website"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" />Read more about the Act Sustainable week​</a>​<br /></div></div></div> <div><br /></div></div></div></div> ​Fri, 01 Oct 2021 00:00:00 +0200 project video presentations 2020<p><b>​​On the 1st of February, we held a workshop to present all the 2020 Big Data and ICT SEED projects. In addition, we have made short films (approx 4-7 min) from the presentations about the projects and are happy to share them with you. </b></p><p class="chalmersElement-P"><span><span><b><br /></b></span></span></p> <p class="chalmersElement-P"><span><span><em><strong>Please note: </strong>Some films are restricted and will not be published here.</em><br /></span></span></p> <p class="chalmersElement-P"><span><span>​</span><br /></span></p> <div><span style="color:rgb(33, 33, 33);font-family:inherit;font-size:16px;font-weight:600;background-color:initial">ICT Area of Advance</span><span style="color:rgb(33, 33, 33);font-family:inherit;font-size:16px;font-weight:600;background-color:initial"> Big Data Research Projects 2020</span><br /></div> <div><span><div><br /></div> <div><a href="">Characterization of new antibiotic resistance genes through screening of large volumes of DNA sequence data</a> </div>