News: Informations- och kommunikationsteknik related to Chalmers University of TechnologyThu, 13 Feb 2020 08:14:18 +0100 the internet more energy efficient<p><b>​Researchers at Chalmers ​recently completed a 5-year research project looking at how to make fibre optic communications systems more energy efficient. Among their proposals are smart, error-correcting data chip circuits, which they refined to be 10 times less energy consumptive. The project has yielded multiple scientific articles, in publications including Nature Communications.</b></p>​<span style="background-color:initial">Streaming films and music, scrolling through social media, and using cloud-based storage services are everyday activities now. But to accommodate this digital lifestyle, a huge amount of data needs to be transmitted through fibre optic cables – and that amount is increasing at an almost unimaginable rate, consuming an enormous amount of electricity. This is completely unsustainable – at the current rate of increase, if no energy efficiency gains were made, within ten years the internet alone would consume more electricity than is currently generated worldwide. The electricity production cannot be increased at the same rate without massively increasing the usage of fossil fuels for electricity generation, which of course would lead to a significant increase in carbon dioxide emissions.</span><div> <div><img src="/SiteCollectionImages/Institutioner/E2/Nyheter/Smarta%20datachips%20del%20av%20lösningen%20för%20att%20göra%20internet%20energisnålare/Peter-Andrekson_250x333px.jpg" class="chalmersPosition-FloatRight" alt="Peter Andrekson" style="margin:5px;width:200px;height:263px" /><br /><span style="background-color:initial">“The challenge lies in meeting that inevitable demand for capacity and performance, while keeping costs at a reasonable level and minimising the environmental impacts,” says Peter Andrekson, Professor of Photonics at the Department of Microtechnology and Nanoscience at Chalmers.</span><br /></div> <div><br /></div> <div>Peter Andrekson was the leader of the 5-year research project <a href="" target="_blank">‘Energy-efficient optical fibre communication’</a>, which has contributed significant advances to the field.</div> <div><br /></div> <div>In the early phase of the project, the Chalmers researchers identified the biggest energy drains in today's fibre optic systems. With this knowledge, they then designed and built a concept for a system for data transmission which consumes as little energy as possible. Optimising the components of the system against each other results in significant energy savings.</div> <div><br /></div> <div>Currently, some of the most energy-intensive components are error-correction data chips, which are used in optical systems to compensate for noise and interference. The Chalmers researchers have now succeeded in designing these chips with optimised circuits.</div> <div><br /></div> <div><img src="/SiteCollectionImages/Institutioner/E2/Nyheter/Smarta%20datachips%20del%20av%20lösningen%20för%20att%20göra%20internet%20energisnålare/Per-Larsson-Edefors_250x333px.jpg" class="chalmersPosition-FloatLeft" alt="Per Larsson-Edefors" style="margin:5px;width:200px;height:263px" />“Our measurements show that the energy consumption of our refined chips is around 10 times less than conventional error-correcting chips,” says Per Larsson-Edefors, Professor in Computer Engineering at the Department of Computer Science and Engineering at Chalmers.</div> <div><br /></div> <div>At a systemic level, the researchers also demonstrated the advantages of using ‘optical frequency combs’ instead of having separate laser transmitters for each frequency channel. An optical frequency comb emits light at all wavelengths simultaneously, making the transmitter very frequency-stable. This makes reception of the signals much easier – and thus more energy efficient.</div> <div><br /></div> <div>Energy savings can also be made through controlling fibre optic communications at the network level. By mathematically modelling the energy consumption in different network resources, data traffic can be controlled and directed so that the resources are utilised optimally. This is especially valuable if traffic varies over time, as is the case in most networks. For this, the researchers developed an optimisation algorithm which can reduce network energy consumption by up to 70%.</div> <div><br /></div> <div>The recipe for these successes has been the broad approach of the project, with scientists from three different research areas collaborating to find the most energy-saving overall solution possible, without sacrificing system performance.</div> <div><br /></div> <div><img src="/SiteCollectionImages/Institutioner/E2/Nyheter/Smarta%20datachips%20del%20av%20lösningen%20för%20att%20göra%20internet%20energisnålare/Erik-Agrell_250x333px.jpg" class="chalmersPosition-FloatRight" alt="Erik Agrell" style="margin:5px;width:200px;height:263px" />These research breakthroughs offer great potential for making the internet of the future considerably more energy-efficient. Several scientific articles have been published in the three research disciplines of optical hardware, electronics systems and communication networks.</div> <div><br /></div> <div>“Improving the energy efficiency of data transmission requires multidisciplinary competence. The challenges lie at the meeting points between optical hardware, communications science, electronic engineering and more. That’s why this project has been so successful”, says Erik Agrell, Professor in Communications Systems at the Department of Electrical Engineering at Chalmers.</div> <div><br /></div> <div><div><strong>More on the research</strong></div> <div>The research could have huge potential to make future internet usage significantly more energy efficient. It has resulted in several research publications within the three scientific disciplines of optical hardware, electronics systems and communications networks.The research results have been published in multiple articles, including the following three:</div> <div><ul><li><a href="">Phase-coherent lightwave communications with frequency combs</a>, in the journal Nature Communications</li> <li><a href="" target="_blank">Energy-Efficient High-Throughput VLSI Architectures for Product-Like Codes</a>, in the Journal of Lightwave Technology</li> <li><a href="" target="_blank"><span style="background-color:initial">Join</span><span style="background-color:initial">t power-efficient traffic shaping and service provisioning for metro elastic optical networks</span>​</a><span style="background-color:initial">, in the journal IEEE/OSA Journal of Optical Com</span><span style="background-color:initial">munications and Networking, </span><br /></li></ul></div> <div><br /></div> <div>The 5-year research project <a href="">’Energy-efficient optical fibre communication’</a> ran from 2014–2019, and was financed by the Knut and Alice Wallenberg Foundation.</div> <div><br /></div> <div><strong>Some more information on some of the research breakthroughs:</strong></div> <div>Smart, error correcting chips:</div> <div>The data chips have been designed by Chalmers and manufactured in Grenoble in France. The Chalmers researchers subsequently verified the chips’ performance and measured the energy usage, which was just a tenth of current error-correcting chips. </div> <div>At an energy transfer speed of 1 terabyte per second (1 terabyte = 1 trillion bits) <a href="" target="_blank">the researchers demonstrated that the chip drew less energy than 2 picojoules​</a> (1 picojoule = 1 trillionth of a joule) per bit. This equates to a power consumption of 2 Watts at this data rate. Comparatively, the current energy usage at such high transfer speeds is around 50 picojoules per bit, around 50 Watts.</div> <div><br /></div> <div>Text: Yvonne Jonsson</div> <div>Portrait photos: Johan Bodell, Chalmers, Laurence L Levin</div> <div><br /></div> <div><div><strong>For more information, contact:</strong></div> <div>Optical hardware: </div> <div><a href="/en/Staff/Pages/Peter-Andrekson.aspx">Peter Andrekson</a>, leader of the research project, and Professor of Photonics at the Department of Microtechnology and Nanoscience at Chalmers University of Technology</div> <div><a href=""></a></div> <div><br /></div> <div>Electronics systems: </div> <div><a href="/en/staff/Pages/perla.aspx">Per Larsson-Edefors</a>, Professor in Computer Engineering at the Department of Computer Science and Engineering at Chalmers <span style="background-color:initial">University of Technology</span></div> <div><a href=""></a></div> <div><br /></div> <div>Communications networks: </div> <div><a href="/en/staff/Pages/erik-agrell.aspx">Erik Agrell​</a>, Professor in Communications Systems at the Department of Electrical Engineering at Chalmers <span style="background-color:initial">University of Technology</span></div> <div><a href=""></a></div> <div><span style="background-color:initial">​</span></div></div></div></div>Thu, 13 Feb 2020 00:00:00 +0100 of investment in AI and autonomous systems research<p><b>​The Wallenberg AI, Autonomous Systems and Software Program (WASP), Sweden’s largest individual research programme, has been extended by three years and will receive a further research grant of nearly SEK 1.3 billion.</b></p>​<span style="background-color:initial">The decision has been recently taken by the board of the Knut and Alice Wallenberg Foundation, and means that the programme, which started in 2014, will continue until 2029 with a total budget of SEK 5.5 billion. The Knut and Alice Wallenberg Foundation (KAW) will provide SEK 4.2 billion, and the remainder will be provided, as previously, mainly from the five partner universities and industry.</span><div><br /></div> <div><div>The five partner universities in the WASP programme are Chalmers University of Technology, KTH Royal Institute of Technology, Linköping University, Lund University and Umeå University.</div> <div><br /></div> <div>The decision has been announced at the same time as a new mandate period for the WASP board commences, and Sara Mazur takes over the chair. Anders Ynnerman, who has been appointed as programme director from 1 July 2020, will work with Sara Mazur and review the long-term investments and initiatives to which the new capital can contribute.</div> <div><br /></div> <div>“We will continue to work towards our vision of strengthening Sweden’s expertise within AI, autonomous systems and software. One way we can do this is by continuing to recruit both junior and senior researchers to Sweden. We have so far managed to attract 15 professors and 12 associate senior lecturers, with more in the pipeline. There is considerable interest in coming to Sweden to carry out research here”, says Anders Ynnerman.</div> <div><br /></div> <div>“The new financing and the extra years make it possible to continue to develop the research arenas in WASP. These are important environments for collaboration between the universities and Swedish industry in general, and will help to ensure that Sweden gains long-term benefit from the investment in research and education”, says Sara Mazur.​</div> </div> <div><br /></div> <div><a href="" target="_blank">Read the full news release on the WASP website</a></div> <div><br /></div> <div><strong>Links:</strong></div> <div><a href=""></a></div> <div><a href="">​</a></div> <div><br /></div> Tue, 17 Dec 2019 15:00:00 +0100 for Data Science and Machine learning research projects 2020<p><b>​Call for project proposals (budget not exceeding 300 kSEK) that address using data science and machine learning in research projects.</b></p><div>​<span><strong>Important dates:</strong><br />Submission: Nov 22, 2019<br />Notification: Nov-Dec 2019<br />Expected project start: Dec 2019-Jan 2020 (can be discussed)<span style="display:inline-block"></span></span></div> <div> </div> <div> </div> <div> </div> <div><br /></div> <div> </div> <div> </div> <div> </div> <div>Data driven research is becoming increasingly important for many research activities at Chalmers. To extract valuable patterns from large data sets and meet the related challenges, Chalmers and the ICT Area of Advance have created a group of data science research engineers with the purpose of contributing expertise for a few research projects, i.e., projects with a strong emphasis on methods of data analysis that are needed in research projects.</div> <div><br /></div> <div> </div> <div> </div> <div> </div> <div>We are prioritizing applied research involving new collaborations between researchers from different research communities, for example across different Areas of Advance, to support research groups in need of extracting and analysing large sources of data using machine learning. The group has previously participated in several successful research projects ranging across different fields of Chalmers. <a href="" target="_blank">For examples of previous projects, see this visualization.</a></div> <div> </div> <div> </div> <div> </div> <div>The Area of Advance ICT has four research profiles that summarize some of the challenges and opportunities of the modern society in which ICT can contribute. One of them is Big Data (e.g. data collection and storage, data visualization, and data analytics through machine learning and high-dimensional statistics). Moreover, AoA ICT is currently building up the Chalmers AI Research Centre (<a href="/en/centres/chair/Pages/default.aspx" target="_blank">CHAIR</a>) and would like to encourage projects that include applications of machine learning that could lead to further AI-related projects at Chalmers. </div> <div> </div> <div> </div> <div> </div> <div>The unit of data science research engineers is available to provide feedback about the proposals during the weeks leading up to the submission deadline. This will ensure writing a proposal and matching project proposals with relevant knowledge and methods. They can be contacted through the mailing list <a href=""></a> and it is recommended to seek feedback in the formulation of the proposal.</div> <div> </div> <div> </div> <div> </div> <h2 class="chalmersElement-H2">Requirements:</h2> <h2 class="chalmersElement-H2"> </h2> <ul><li>The data science research engineers will provide collaboration and support in new, or existing projects, by application of machine learning and data science to extract patterns out of one or a few specific data sources, possibly also including AI-related techniques.</li> <li>The level of involvement 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 preferrably start in the period between 1st of December 2019 and 15th of Jan 2020. The exact date and extent can be discussed.</li> <li>The budget should not exceed 300 kSEK including indirect costs (OH). It can cover personnel costs, equipment, data, or involvement of domain related researchers and engineers on your side. 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 clear relation to Data Science/Machine learning and research. The proposal should be focused on utilization of data in different application areas in relation to Chalmers research activities.</li></ul> <div> </div> <div> </div> <div> </div> <h2 class="chalmersElement-H2">The proposal form:</h2> <div> </div> <div>The application should be maximum 3 pages long, font 11pt Times–roman. A one-page CV of the main applicant and main project participants should be added. Maximum four projects participants should include their CVs.</div> <div> </div> <div> </div> <div> </div> <h2 class="chalmersElement-H2">The proposal should include:</h2> <div> </div> <div>a) Project title and the project abbreviation.</div> <div> </div> <div>b) The main applicants: Name and e-mail and department</div> <div> </div> <div>c) The preferred starting date and ending date for the project</div> <div> </div> <div>d) A short overview of the project, with its research challenges and objectives and what novel possibilities you see in using machine learning or data science in your domain/research area</div> <div> </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 restriction of use from intellectual property restrictions or so</div> <div> </div> <div>f) A concrete description of the how you would start to work together with the data science research engineers to extract patterns from data</div> <div> </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</div> <div> </div> <div>h) The expected outcome (including disemination/publication plan) and its potential for further research/activities</div> <div> </div> <div>i) The project overall time-line and budget (expenses on your side)</div> <div> </div> <div> </div> <div> </div> <h2 class="chalmersElement-H2">Evaluation Criteria:</h2> <div> </div> <div>• How innovative is the project in your research domain?</div> <div> </div> <div>• How central is the use of large data sources in the project?</div> <div> </div> <div>• How high is the potential impact of the project for its research field?</div> <div> </div> <div> </div> <div> </div> <h2 class="chalmersElement-H2">Submission:</h2> <div> </div> <div>The application should be submitted as one PDF document to</div> <div> </div> <a href="" target="_blank"></a> <div> </div> <div> </div> <div> </div> <div>The proposals will be evaluated by the AoA ICT management group and decided by the AoA ICT Director and the unit manager of the data science research engineers. A review process will include a reference group across different areas of Chalmers.</div> <div> </div> <div> </div> <div> </div> <div>General Questions can be addressed to Ivica Crnkovic <a href=""></a> and Vilhelm Verendel <a href=""></a>. General information on the research within the Area of Advance ICT can be found <a href="/en/areas-of-advance/ict/Pages/default.aspx"></a>.</div> <div> </div> <div> </div> <div> </div> <div>The data science research engineers and the operational team can be reached at <a href=""><br /></a></div> <div><br /></div> <div><img src="/SiteCollectionImages/Areas%20of%20Advance/Information%20and%20Communication%20Technology/About%20us/IKT_logo_600px.jpg" class="chalmersPosition-FloatLeft" alt="" style="margin:5px" /><br /><br /><br /><a href=""></a></div>Mon, 04 Nov 2019 16:00:00 +0100 contributes to Big Data research in Bulgaria<p><b>On 7th October, a new European centre of excellence in Big Data and Artificial Intelligence was launched. The GATE Institute is located in Sofia and is a partnership between Sofia University, Chalmers University of Technology and Chalmers Industrial Technologies.</b></p><p>​<br />The initiative is made through funding for seven years from the EU's Horizon 2020 Widespread programme, which aims to promote competence and innovation across Europe and thereby strengthen European competitiveness and ability to meet societal challenges. The goal is to build research capacity and promote innovation power.<br /><br />Graham Kemp at the Department of Computer Science and Engineering at Chalmers has been working with preparations and the application since 2017 and is very pleased that the Institute has now been launched.<br /><br /><img src="/SiteCollectionImages/Areas%20of%20Advance/Information%20and%20Communication%20Technology/News%20events/GATE/Gate_GrahamKemp.jpg" alt="Graham Kemp" class="chalmersPosition-FloatRight" style="margin:5px;vertical-align:middle;width:200px;height:288px" />“We see an opportunity to share knowledge and experience in a field that is developing extremely rapidly. Our participation in GATE will lead to greater international impact, perspectives and interaction. In the longer term the GATE Institute will become a strong partner for collaboration in Eastern Europe”, says Graham Kemp.<br /><br />The research is focused on four strategic application themes: future cities, intelligent government, smart industry and digital health. GATE will employ over 100 researchers and install three new research labs at Sofia University, City Living Lab, Digital Twin Lab, in multidisciplinary collaboration with industry, as well as Virtual Reality and Big Data Visualisation (Open Visualisation Lab).<br /><br />The GATE Institute, as the only Big Data centre of excellence in Eastern Europe, will form a hub in a European network of more than 50 Big Data centres. GATE thus plays a strategically important role in expanding the network and contributing to knowledge transfer and innovation that will provide exchange not only at national or regional level, but for the whole of Europe. GATE will gather and unite everyone with interest in the research field – academia, government, industry and society.<br /><br />To the webpage of Gate: <a href="" target="_blank"> <br /></a></p> <p><em>This project has received funding from the European Union’s Horizon 2020 WIDESPEAD-2018-2020 TEAMING Phase 2 programme under Grant Agreement No. 857155.</em></p> <p><br />Captions</p> <p><strong>Group photo:</strong> Participants at the GATE kick-off meeting on 7th October 2019, in Sofia, Bulgaria. Back row, from left: Oana Radu (Research Executive Agency, European Commission), Ales Fiala (Research Executive Agency, European Commission), Boyan Stefanov (Sofia University), Eleonora Getsova (Sofia University), Nils Munk Wirell (Chalmers Industrial Technologies), Camilla Johansson (Chalmers Industrial Technologies), Yannis Patias (Sofia University), Iva Krasteva (Sofia University), Petya Stancheva (DG RTD, European Commission), Vassil Vassilev (London Metropolitan University)<br />Front row, from left: Irena Pavlova (Sofia University), Dag Wedelin (Chalmers University of Technology), Graham Kemp (Chalmers University of Technology), Ivica Crnkovic (Chalmers University of Technology), Sylvia Ilieva (Project Coordinator, Sofia University), Golaleh Ebrahimpur (Chalmers Industrial Technologies), Magda De Carli (DG RTD, European Commission), Dessislava Petrova-Antonova (Sofia University).<br /><br /><strong>The press conference:</strong> Eleonora Getsova moderates a press conference with (seated, left-to-right) Magda De Carli (DG RTD, European Commission), Prof Sylvia Ilieva (GATE project coordinator, Sofia University), Prof Anastas Gerdjikov (Rector, Sofia University), Dr Golaleh Ebrahimpur (CEO, Chalmers Industrial Technologies) and Prof Ivica Crnkovic (Chalmers University of Technology).<br /><br /><strong>Audience:</strong> The GATE opening event took place in the Ceremonial Hall of Sofia University St. Kliment Ohridski.<br /><br /><strong>Photos: </strong>Oleg Konstantinov<br /></p> <p><br /><a href="" target="_blank"></a></p>Mon, 14 Oct 2019 00:00:00 +0200 orientation built up by smart imaging<p><b>​Where am I? The question is relevant not only to humans but also to self-driving cars that must be confident about their own position. Researchers at Chalmers University of Technology are developing smart algorithms for so-called visual localisation based on machine learning of large amounts of data collected from photos.</b></p>​<img src="/SiteCollectionImages/Institutioner/E2/Nyheter/Smart%20bildteknik%20bygger%20artificiellt%20lokalsinne/FredrikKahl_250x300px.jpg" class="chalmersPosition-FloatRight" alt="Fredrik Kahl" style="margin:5px" /><span style="background-color:initial">“Visual localisation means that a robot or car should be able to determine its current position using camera images that are compared to a map of the surroundings”, says Fredrik Kahl, professor of computer vision and image analysis at the department of Electrical Engineering at Chalmers. &quot;It is about identifying distinct features and comparing them to already known characteristics in the surroundings, which are positioned on a three-dimensional map.&quot;</span><div><br /><span style="background-color:initial"></span><div>Of the methods currently available to determine your position, camera is the most promising in this context.</div> <div><br /></div> <div>”Camera technology is comparatively cheap and provides access to a lot of information”, Fredrik Kahl continues. “There are several possible applications for the technology, where self-driving cars and unmanned vehicles probably are the most prevalent. Research is also underway in areas such as smart camera technology used in mobile phone navigation apps, in industrial production processes and in flexible systems for inspection of various environments.”</div> <div><br /></div> <div>One example, where the technology is now being demonstrated in a supermarket setting for later transfer to other applications, is the research project ‘Semantic Mapping and Visual Navigation for Smart Robots’, funded by the Swedish Foundation for Strategic Research. The project is headed by Fredrik Kahl and involves researchers from Chalmers and Lund University among others.</div> <div><br /></div> <div>”Semantic mapping means training the system to be able to recognise named physical objects in pictures and link them to a geographical position”, Fredrik Kahl says. “In the supermarket setting, the system first gets to learn how selected products look like and what they are called, and then it should be able to register where these products are located on the shelves in the store. To fulfill the task, various subsystems in machine learning, computer vision and robotics need to work together.”</div> <div><br /></div> <div>This technology will be tested in a supermarket in Stockholm, where a drone will fly along the shelves to identify which and how many products of each kind that are in stock. One challenge is that the products on the shelves can block each other.</div> <div><br /></div> <div>There are significantly more difficulties to overcome when transferring this technology outdoors and incorporating it into a self-driving car. Then, factors such as weather, daylight and time of the year also need to be considered.</div> <div><br /></div> <div><img src="/SiteCollectionImages/Institutioner/E2/Nyheter/Smart%20bildteknik%20bygger%20artificiellt%20lokalsinne/kamerabilder_750px.jpg" class="chalmersPosition-FloatLeft" alt="camera images" style="margin:5px" /><br /><br /><br /></div> <div><br /></div> <div>“A picture taken on a beautiful summer day differs quite a lot from a picture taken at the same place on a wintry evening in January”, says Fredrik Kahl. “Without leaves on bushes and trees, the view can be completely changed, and other objects appear in the picture instead. Fog, snow and rain, in turn, are blurring the recognition marks.”</div> <div><br /></div> <div>Therefore, in order to build the visual localisation system, you need to have access to many photos taken under different exterior circumstances from the same geographical location.</div> <div><br /></div> <div>The researchers are putting labels, annotations, for various types of phenomena on the images that they want the system to recognise, such as ‘road’, ‘pavement’, ‘building’ etc. Often, subdivisions are needed for the annotations to be useful, for example ‘vegetation’ becomes a too comprehensive label. Annotations are needed, but the work is time-consuming, and it is therefore important to find a balanced level for the number of classifications. </div> <div><br /></div> <div>Machine learning in artificial neural networks is used to train the system, bit by bit improving the ability of the self-driving car or robot to recognise the surroundings and to orient itself.</div> <div><br /></div> <div>”As our algorithms become more accurate and the three-dimensional map is being built up, fewer images will be needed for the system to be able to locate itself”, Fredrik Kahl says. “A lot of tricky problems still remain to be solved, but that is what makes this field so exciting and fun to work with.”</div> <div><br /></div> <div><strong>Website to test the accuracy of the localisation</strong></div> <div>The Chalmers researchers have launched a website, that up till now contains more than 100 000 collected images. On the website, like-minded research teams can compare and test the accuracy of their algorithms by downloading images, performing calculations and then uploading their results to get them corrected and ranked on a top list.</div> <div><a href="" target="_blank"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" />To the website Long-term Visual Localisation ​</a><br /></div> <div><br /></div> <div><div>Text: Yvonne Jonsson</div> <div>Photo of Fredrik Kahl: Malin Ulfvarson​</div></div> <div><br /></div> <div><strong>More about the research and researchers</strong></div> <div>The research team behind the research and the film &quot;Localization using semantics&quot;: Måns Larsson, Lars Hammarstrand, Erik Stenborg, Carl Toft, Torsten Sattler and Fredrik Kahl</div> <div><span style="background-color:initial">The research team behind the project <a href="">Semantic Mapping and Visual Navigation for Smart Robots</a>, and the film from the supermarket: Patrik Persson, Marcus Greiff, Sebastian Hanér, Olof Enqvist and Fredrik Kahl</span></div> <div><br /></div> <div><strong>For more information contact</strong></div> <div><a href="/sv/personal/Sidor/fredrik-kahl.aspx">Fredrik Kahl</a>, professor of computer vision and image analysis at the department of Electrical Engineering at Chalmers University of Technology</div> <div><a href=""> </a></div> <div><br /></div> </div>Tue, 24 Sep 2019 00:00:00 +0200 future with &quot;social drones<p><b>Drones are expected to become an increasingly common tool in our everyday lives. In a new research project led by Morten Fjeld, researchers from Chalmers University of Technology will be investigating how social drones are best used and regulated in order to benefit individuals and society as a whole.</b></p>​Social drones are expected to be part of society in the same way as cars and technological aids are today. They may also come to be used as personal companions and assistants. What could such interaction look like? The researchers involved in the project will investigate how this development affects both individuals and society as a whole, for example in terms of laws, policies and education. <br /><br />Some of the questions asked by the researchers are: How can you design drones so that their use improves the lives of individuals and society? Is the technology even useful, or do the risks outweigh the benefits? <br /><br /><strong>Project: The Rise of Social Drones: A Constructive Design Research Agenda</strong><br /><a href="/en/staff/Pages/morten-fjeld.aspx">Morten Fjeld</a>, Professor at the department of Computer Science and Engineering*<br /><a href="/sv/personal/Sidor/sara-ljungblad.aspx">Sara Ljungblad</a>, Assistant Professor at the department of Computer Science and Engineering*<br /><br />Part of a national research programme<br />The project is part of the national research programme WASP-HS, where the abbreviation HS stands for humanities and society. The research programme was initiated by Marianne and Marcus Wallenberg Foundation and Marcus and Amalia Wallenberg Foundation and encompasses a total of SEK 660 million over ten years. The programme will primarily analyse the ethical, economic, social, legal and labour market aspects that may be entailed by the ongoing technological shift in society.<br /><br /><div><em>Read the press release from WAPS HS:</em></div> <br /><strong>Funding granted to 16 projects in AI and autonomous systems</strong><br /><div>Marianne and Marcus Wallenberg Foundation has granted SEK 96 million to be shared by 16 research projects studying the impact of artificial intelligence and autonomous systems on our society and our behaviour. <a href=""><br /></a></div> <div><br /></div> <div><br /></div> <div><em>*The Department of Computer Science and Engineering is shared between Chalmers University of Technology and University of Gothenburg.</em><br /><a href=""></a></div>Thu, 12 Sep 2019 16:00:00 +0200 granted ICT SEED proposals 2020<p><b>​​Six projects have been granted seed funding by the ICT Area of Advance.</b></p>​Approximately 1,5 MSEK have been granted to the 6 approved proposals. The criteria for the selection were those specified in the call.<br /><br /><br /><strong>Jiajia Chen, Xiaobo Qu and Lei Chen</strong><br />i-ONet: Intelligent Optical Networks for Connected Road Users towards Vision Zero<br /><br /><strong>Beata Stahre Wästberg, Vasilis Naserentin, Marco Adelfio and Monica Billger </strong><br />SCENDA: Scenario visualization of environmental data in compact cities<br /><br /><strong>Rui Lin, Lena Wosinska and Magnus Karlsson</strong><br />E2MEN: Error control and Encoding Multiplexing Enabled Non­collision Optical Interconnects<br /><br /><strong>Rebecka Jörnsten and Claes Strannegård </strong><br />Explainable Neural Networks<br /><br /><strong>Xuezhi Zeng and Christian Fager </strong><br />Experimental investigation of a 5G measurement platform for medical diagnostics.<br /><br /><br /><br /><br />-----<br />Here was the call (the deadline has passed)<br /><div><a href="/en/areas-of-advance/ict/news/Pages/Call-for-ICT-Seed-projects-2020.aspx">Call for ICT Seed projects 2020 &gt;<br /></a></div> <div><br /></div> <div><img src="/SiteCollectionImages/Areas%20of%20Advance/Information%20and%20Communication%20Technology/About%20us/IKT_logo_600px.jpg" class="chalmersPosition-FloatLeft" alt="" style="margin:5px" /><br /><br /><br /><a href="/en/areas-of-advance/ict/news/Pages/Call-for-ICT-Seed-projects-2020.aspx"></a></div>Mon, 09 Sep 2019 09:00:00 +0200 cooperation on AI in healthcare<p><b>Sahlgrenska University Hospital aims to be a driving force in the development of artificial intelligence in healthcare. Chalmers has complementary expertise. A joint research agenda will give the hospital and Chalmers the ability to develop the high-tech healthcare of tomorrow.</b></p>​If we wish to take on the challenges that a growing and ageing population pose to healthcare, we must take help from new technology to make changes to working methods. Artificial intelligence (AI) has great potential to be put into practical use in the healthcare sector.<p></p> <p>Chalmers AI Research Centre (CHAIR) was formed at the start of the year, and conducts research in areas such as autonomous vehicles, industry 4.0, and e-health. Chair and Sahlgrenska University Hospital have entered into a strategic research cooperation on AI in healthcare. The hospital benefits from the AI expertise found at Chalmers, while Chalmers benefits from the university hospital’s medical expertise.</p> <p>&quot;Chalmers has a long tradition of successful collaboration with Sahlgrenska University Hospital, and the research cooperation in AI will strengthen this greatly. Through the AI collaboration, we will achieve exciting new results that are important not only to both partners, but also to society in general,&quot; says Ivica Crnkovic, Director of Chalmers AI Research Centre. </p> <p>Sahlgrenska University Hospital is an arena for outstanding research, and a number of development projects currently being conducted at the hospital use AI as support for areas such as diagnosis. The research cooperation now opens up new opportunities in the digital transition that the healthcare sector is facing.</p> <p>&quot;We need to advance our positions in artificial intelligence. At the hospital, we have very good collaborations with both academia and the business world, where new areas of collaboration pave the way for great progress in this field. AI is an important tool that will ultimately enable us to offer high-quality healthcare to everyone who needs it. Our collaboration with Chair is a big step in the right direction,&quot; says Ann-Marie Wennberg, Hospital Director of Sahlgrenska University Hospital.</p> <p><strong>Facts:</strong><br /></p> <ul><li><a href="/en/centres/chair">Chalmers AI Research Centre</a> is a competence centre aimed at increasing Chalmers’ expertise and excellence in artificial intelligence in partnership with industry and society. <br /><br /></li> <li><a href="">Sahlgrenska University Hospital </a>works in close collaboration with a number of innovation platforms, such as AI Innovation of Sweden and Medtech West. They also work in close collaboration with Sahlgrenska Academy and Sahlgrenska Science Park, to name a few. <br /><br /></li> <li> The partners (Chalmers and SU) have drafted a letter of intent aimed at entering into a research cooperation. An application has also been submitted to the Regional Development unit of Region Västra Götaland to seek support for the project. The formal research cooperation agreement has not yet been signed. </li></ul> Mon, 02 Sep 2019 12:00:00 +0200 Programme 2018-2020 for ICT in Horizon 2020<p><b>​Work Programme 2018-2020 for ICT in Horizon 2020 have been published. In it, you will find both completed and upcoming calls.</b></p>​<a href="">Click here to read the PDF</a> (upcoming calls can be found on page 120)<p></p> <p>709 million EUR remains for calls in LEIT-ICT during 2019-2020. There are calls within:</p> <ul><li>Artificial Intelligence and Technologies for Digitizing European Industry and Economy </li> <li>European Data Infrastructure: HPC, Big Data and Cloud Technologies </li> <li>5G </li> <li>Next Generation Internet </li> <li>Digital Innovation Hubs (DIH) and platforms </li> <li>Cybersecurity </li></ul> Wed, 07 Aug 2019 00:00:00 +0200 data transfer model saves energy on the internet<p><b>​The internet has arisen in the public debate as a climate hazard that causes carbon dioxide emissions as high as those originating from airplane travel. For five years, research at Chalmers has been underway to build models for energy-efficient data traffic. So far, the researchers have managed to reduce energy consumption to one tenth in specified areas.​</b></p>​​<span style="background-color:initial">We are streaming movies and music, saving our pictures in the cloud, and are constantly connected to all the opportunities that the internet offers. The use of a regular smartphone requires about as much electricity as a refrigerator. However, the charging of the mobile phone only accounts for a negligible part of that energy. The rest of the electricity is not being used at our homes, but in data centres which are housing the data stored in the cloud, and during the transportation of data through fiber-optic cables, sometimes being hundreds of kilometers long.</span><div><br /></div> <div><strong>An immense increase in data traffic</strong></div> <div>The amount of data transported via fiber-optic cables is increasing at an almost unimaginable rate. And so does the energy consumption from the data traffic. If nothing is done about the situation, within ten years, the internet alone will consume more electricity than is globally produced. </div> <div><br /></div> <div><img src="/SiteCollectionImages/Institutioner/E2/Nyheter/Ny%20modell%20för%20datatrafik%20sparar%20energi%20på%20internet/peter_andrekson_170112_250px.jpg" class="chalmersPosition-FloatRight" alt="Peter Andrekson" style="margin:5px" />“It is a great challenge for society, and for us as researchers, to solve the equation of how to meet the demand for data capacity and performance, while keeping costs at a reasonable level and minimizing environmental impact. Not least, it requires a completely new way of optimizing the technical systems, says Peter Andrekson, Professor of photonics at Chalmers, who over the past five years has been the leader of a large research project with the aim to build a future model for energy-efficient optical fiber communication.</div> <div><br /></div> <div>The intention of the project has been to locate the dominating energy consumers in the fiber-optic systems, and then to design and build a model that only uses one-tenth as much energy as the existing systems do. To succeed in this, a broad approach has been applied. Three different scientific perspectives have been joined together – optical hardware, electronic hardware and information theory, in order to perform coordination and transfer of data in the best possible way.</div> <div><br /></div> <div><strong>Many small energy thieves</strong></div> <div>Something that, at least to some extent, came as a surprise to the researchers was the fact that there are quite many small energy thieves with the potential of affecting the system – not a few large bottlenecks to tackle.</div> <div><br /></div> <div><img src="/SiteCollectionImages/Institutioner/E2/Nyheter/Ny%20modell%20för%20datatrafik%20sparar%20energi%20på%20internet/ErikAgrell_170608_250px.jpg" class="chalmersPosition-FloatLeft" alt="Erik Agrell" style="margin:5px" />“Examples of such energy thieves are the signal processors in the transmitters and receivers in the optical systems”, says Erik Agrell, Professor of communication systems, who in this project has been responsible for developing mathematical models for designing new, more efficient types of transmitter and receiver algorithms. “Higher data transfer rates are requiring transmitters and receivers with the ability to handle stronger signals. However, with the help of error correcting codes, the requirements on the optical hardware can be partially lowered. On the other hand, it also consumes more energy, because the error correcting electronic hardware also runs on electricity. This is a concrete example of the need to find a balance between performance, cost and energy consumption in order to choose the best solution in every individual case.”</div> <div><br /></div> <div>Within the framework of the project, chips containing error correcting code have been designed at Chalmers and then custom made by a manufacturer in Europe. Thereafter, the chips have been tested to verify that the theoretical models and simulations of the power consumption are correct, also in practice. The design and testing have been conducted by researchers in Professor Per Larsson-Edefors' research group at the department of Computer Science and Engineering at Chalmers.​</div> <div><br /></div> <div><strong>Aims at reducing energy consumption to one tenth</strong></div> <div>The prerequisites for how to design the optimal system differ, among other things, depending on the distance that data is being transported. On one hand, the researchers have studied data communication over short distances, from 1 up to 500 meters, which occur, for example, in data centres and in network-based computation clusters. On the other hand, research has also been focused on larger optical systems, where traffic from many users simultaneously travel over distances up to hundreds of kilometers.</div> <div><br /></div> <div>The project aim, to reduce energy consumption to one tenth compared to the models used today, seemed in advance to be quite tough.</div> <div><br /></div> <div>&quot;Within defined areas, we are able to state – not without pride – that we have managed to reach the levels that we aimed for,&quot; says Peter Andrekson. “This applies not least to the power reduction thanks to the error correcting code. We have also received good feedback on the scientific results that we have presented. However, commercial companies are not particularly willing to contribute to this type of research. For competitive reasons, they keep their knowledge to themselves but on the other hand they don´t hesitate to apply the results from academia.”</div> <div><br /></div> <div><img src="/SiteCollectionImages/Institutioner/E2/Nyheter/Ny%20modell%20för%20datatrafik%20sparar%20energi%20på%20internet/Erik-Agrell-1_500px.jpg" class="chalmersPosition-FloatLeft" alt="Cristian Bogdan Czegledi and Erik Agrell" style="margin:5px" /><em>Professor Erik Agrell (to the right) is discussing effects of polarization in fiber optical communication with the doctoral student Cristian Bogdan Czegledi. (Photo J-O Yxell)​</em><br /><br /><br /></div> <div><strong>Interdisciplinary approach</strong></div> <div>To present results that really optimize the system as a whole, and not just the constituent parts, the researchers have worked interdisciplinary across three research fields. In total, the project will result in five doctoral theses. The doctoral students have worked in pairs circulating across departmental borders – an approach that has been the basis for reaching research results in a broad perspective.</div> <div><br /></div> <div>“To be honest, the process of fully understanding each other's concepts within the project has been time-consuming. Even though we work within related fields of research, there are cultural differences between our specialist areas. Chalmers has a strength in the competence center <a href="/en/centres/force/Pages/default.aspx">FORCE​</a>, which coordinates research on fiber-optical communication”, says Peter Andrekson, who is also the director of this centre. ”We are now expanding, thanks to the move of the research group Optical Networks to Chalmers from KTH in Stockholm.”</div> <div><br /></div> <div><strong>Sustainable economizing of the internet</strong></div> <div>“To obtain an internet that is sustainable from a resource-based point of view, three different perspectives have to be applied, says Erik Agrell. Firstly, it is about developing and using communication technology that is energy efficient, and in this perspective we can contribute as researchers. Secondly, it is about raising awareness and creating incentives for every one of us as internet users not to be unnecessarily wasteful of data traffic. In this case, the individual person, as well as the society at large, and our politicians, have a shared responsibility to maintain sustainability. And lastly, it is important for the climate which energy sources are used in each country to produce the electricity – the less fossil fuels and the more renewables the better.</div> <div><br /></div> <div>“I am convinced that we are moving towards a paradigm shift”, he concludes. “In a not-too-distant future, data transfer and heavy calculations on the internet will be seen as resources to economize with, not as free and unlimited assets.”</div> <div><br /></div> <div><div><strong>More about the research</strong></div> <div>The research has been funded by the Knut and Alice Wallenberg Foundation during five years starting from 2014, with 33,9 MSEK.</div> <div><a href="" target="_blank"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" />Energy-efficient optical fibre communication</a></div> <div><br /></div> <div><strong>For more information, contact:</strong></div> <div><a href="/en/Staff/Pages/Peter-Andrekson.aspx">Peter Andrekson</a>, Professor of photonics, Department of Microtechnology and Nanoscience, Chalmers University of Technology, <a href=""></a></div> <div><a href="/en/staff/Pages/erik-agrell.aspx">Erik Agrell​</a>, Professor of communication systems, Department of Electrical Engineering, Chalmers University of Technology, <div style="display:inline !important"><a href=""></a></div></div> <div><br /></div> <div><div>Text: Yvonne Jonsson</div> <div>Photo: J-O Yxcell (photo at the top of the page), Henrik Sandsjö (portrait photo of Peter Andrekson) and Oscar Mattsson (portrait photo of Erik Agrell)</div></div> <div><br /></div> <a href=""></a><div><br /></div> <div><strong style="background-color:initial">Data traffic and storage on the internet – this is how it works</strong><br /></div> <div>The internet is largely made up of fiber-optic cables, which are built into our houses, buried in the ground and at the bottom of the sea. In these cables, light is passed through the bundles of optical fibers with cores of very clean glass or plastic. The diameter of the fibers can range from a few millimeters down to less than a strand of hair, and they can be very long. A transmitter sends coded light signals through the optical fibers using lasers or light emitting diodes. At the other end, a receiver obtains the light signals and translates them back into electrical pulses, which are then passed on to computers, TV sets or mobiles. When the fiber-optical system is extended over long distances, signal amplifiers between the transmitter and the receiver may also be needed.</div> <div>When we use internet-based cloud services, we get access to applications, data storage and server capacity via the internet instead of having to handle them locally. Our data is then stored in huge server halls. These data centers use electricity for data storage, but also for cooling the servers.</div></div> <div><br /></div>Wed, 26 Jun 2019 00:00:00 +0200 students awarded for best master&#39;s theses<p><b>Martin Anderberg, Rikard Reinhagen, ​Lowisa Hanning and Frida Strömbeck​​ have been awarded the Microwave Road Scholarship for best master’s thesis 2018, in the area of antenna and microwave engineering.</b></p><div><span style="background-color:initial">Each winner gets an award of 10 000 SEK and a diploma. The winners got their diplomas at the Microwave Road event on Electromagnetic Simulation on 8 May, handed over to them by Johan Carlert, chairman of Microwave Road.</span><br /></div> <div><br /></div> <div>Microwave Road is a national cluster focusing on international technology and market development uniting industry, universities, research institutes and regional and national public authorities.</div> <div><br /></div> <div>Text and photo: Hans Hjelmgren</div> <h3 class="chalmersElement-H3">Read the winning theses (pdf) &gt;&gt;&gt;</h3> <div>Martin Anderberg, <a href="">Design of a 183 GHz Subharmonic Mixer Using Membrane Integrated GaAs Schottky Diode Technology</a></div> <div><span style="background-color:initial"><br /></span></div> <div><span style="background-color:initial">Lowisa Hanning, <a href="">Pulse Shaping of Radar Transmitters Compensation of Memory Effects through Digital Pre-distortion</a></span></div> <div><br /></div> <div>Rikard Reinhagen, <a href="">The technical feasibility of providing passenger Wi-Fi with 60 GHz WiGig networks on board trains</a></div> <div><br /></div> <div>Frida Strömbeck, <a href="">Energy Efficient High Data Rate RF-DAC based PAM Modulator – A MMIC solution using an InP-based DHBT-process at Millimeterwave Band</a></div>Tue, 14 May 2019 09:00:00 +0200 Nordic network for artificial intelligence<p><b>​The Nordic Five Tech alliance of leading technical universities announce the creation of the Nordic Artificial Intelligence Network. The Nordic AI Network will make the region a global hub in AI research, education and innovation.</b></p>​With global interest in the many opportunities of artificial intelligence (AI), the network will bring together, and harness, leading expertise in the field with the aim of taking the landmark step to make the region a global hub in AI research, education and innovation. <br /><br />The Nordic AI Network will begin activities already in 2019 with selected events. In coming years, it will share educational resources, stimulate research collaborations, as well as study and share best practices and business models for collaboration with industry. Its activities will, overall, set the stage to communicate Nordic excellence in the field of AI and obtain competitive funding at both the national and European levels. <br /><br />“AI is set to change the world and the Nordics must be part of this tremendous shift. Bringing expertise from across our countries under one umbrella through the Nordic AI Network is a crucial step in making the Nordics a global hub in artificial intelligence. We are very pleased to launch the network and build up activities in coming months”, says Ilkka Niemelä, President of Aalto University in Finland. <br /><br /><img src="/SiteCollectionImages/Nya%20bilder/Porträtt%20-%20Chalmersanställda/Stefan-Bengtsson_portrait.jpg" class="chalmersPosition-FloatRight" alt="Chalmers President Stefan Bengtsson" style="margin:5px" />“Chalmers has, since 2018 committed to a big investment in Artificial Intelligence, that will raise research, development and innovation in this area to a new level. Chalmers AI Research Centre spans research and education at several departments, as well as close collaboration with industry. With this new Nordic AI network, we are further strengthening our activities, while benefiting the entire Nordic region”, says Stefan Bengtsson, President of Chalmers University of Technology.<br /><br />Made up of Aalto University, Chalmers University of Technology, the Technical University of Denmark, KTH Royal Institute of Technology and the Norwegian University of Science and Technology (NTNU), the Nordic Five Tech universities are each home to research institutes and centres dedicated to AI. The decision to create the Nordic AI Network was made at the meeting of Nordic Five Tech presidents on 26 April 2019. <br /><br /><strong>Read more:</strong><br />Nordic Five Tech: <a href="" target="_blank"></a><br />Chalmers AI Research Centre: <a href="/en/centres/chair/Pages/default.aspx" target="_blank"></a> <br /><div><br /></div> <div><br /></div> <em>Photo above</em><br /><em>Back row from left: Ilkka Niemelä, President of Aalto University, Anders O. Bjarklev, President of the Technical University of Denmark, Gunnar Bovim, President of NTNU, Stefan Bengtsson, President of Chalmers University of Technology.</em><br /><br /><em>Front row from left: Lars Kai Hansen (DTU), Annika Stensson Trigell (KTH), Kolbjörn Tunström (Chalmers), Giuseppe Durisi (Chalmers), Ole Jakob Mengshoel (NTNU), Ivica Crnkovic (Chalmers), Ville Kyrki (Aalto).</em>Thu, 02 May 2019 12:00:00 +0200 of Advance Award for exploring the structure of proteins<p><b>​This year&#39;s Areas of Advance Award is given for the development of a unique method of analysing the structure and chemical composition of proteins. Increasing our knowledge of proteins could yield many advances, including the development of new and more effective drugs.</b></p>​The Areas of Advance Award this year goes to Martin Andersson, Pernilla Wittung Stafshede and Fredrik Höök, who combined materials analysis with biology using a clear multidisciplinary approach.<br /><br />“It is very encouraging to have our work highlighted in this way,” says Martin Andersson, who first initiated the research project.<br /><br />He contacted Pernilla Wittung Stafshede and Fredrik Höök to combine research expertise from the three departments of Chemistry and Chemical Engineering, Biology and Biological Engineering and Physics. The aim of the project is to develop a unique method for studying proteins, and thereby open up new knowledge and greater understanding of their functions.<br /><br /><strong>High resolution analysis</strong><br />An important group of proteins, especially when it comes to development of pharmaceuticals, are those found in the membrane of cells. About 60 percent of all pharmaceuticals target membrane-bound proteins, directly or indirectly, which shows their great importance. <br /><br />However, due to these proteins’ need for the cell membrane environment, it is difficult to analyse their structure with established methods, such as X-ray crystallography, magnetic resonance imaging or cryo-electron microscopy.<br /><br />The current project makes use of Atom Probe Tomography instead, with which both the structure and chemical composition of proteins can be observed. The technology offers enormous precision. At present the researchers have shown that it is possible to determine the structure of individual proteins with approximately 1 nanometre resolution. However, the challenge lies in designing a sample preparation method that makes the process faster, and allows to focus on individual proteins, which is the focus of the collaboration.<br /><br />“We still have a lot to learn about proteins, such as those that contribute to ‘misfolding’ diseases like Parkinson's and Alzheimer's. The proteins involved here are very flexible and begin to clump together during illness, but we do not know why and how because they are difficult to study with other methods,” says Pernilla Wittung Stafshede.<br /><br /><strong>New use of an established method</strong><br />Atom Probe Tomography is a well-established technology, but it has mainly been used previously to characterise metals and other hard materials. Applying the method to biological materials, especially proteins, shows an innovative approach. The researchers have continued work to develop and adapt the sample preparation process.<br /><br />“Our project can be described as high-risk – we do not yet know if it will be successful. But if we do succeed, it could potentially be of huge benefit. Getting the Areas of Advance Award is a strong encouragement to continue,” says Fredrik Höök, Professor of Physics.<br /><br />The current project has been financed by the Materials Science Area of Advance.<br />“It is very valuable that Chalmers' Areas of Advance can offer support for early testing of our idea. We need to be able to show preliminary results in order to successfully seek funds from external donors,” says Martin Andersson.<br /><br />Now, the first scientific article has been accepted, and the three researchers hope to expand the project going forward. A first application was made a couple of years ago but was rejected.<br /><br />“But now we have shown that the method works! Sometimes one has to ignore some of the accepted expertise and go on intuition. And then you have to have the opportunity to experiment,” says Martin Andersson.<br /><br /><div><br /> </div> <div><em>Text: Malin Ulfvarson</em></div> <div><em>Photo: Johan Bodell</em></div> <div><br /> </div> <strong>The Areas of Advance Award</strong><br />With the Areas of Advance Award, Chalmers looks to reward those who have made outstanding contributions to cross-border collaborations and who, in the spirit of the Areas of Advance, integrate research, education and utilisation. The award will be given out during the Chalmers doctoral conferment ceremony on 18 May, 2019. <br /><br /><strong>Recipients</strong><br />The project is led by Martin Andersson, Professor at the Department of Chemistry and Chemical Engineering, in collaboration with Professor Pernilla Wittung Stafshede, Biology and Biological Engineering and Professor Fredrik Höök, Physics.<br /><br /><strong>Note</strong><br />Chalmers were international pioneers in the development of Atom Probe Tomography for hard materials, a technology initiated by Professor Hans-Olof Andrén during the 70s. The application of Atom Probe Tomography to study proteins began a few years ago at the Department of Chemistry and Chemical Engineering, by a project group consisting of Dr. Gustav Sundell, Dr. Mats Hulander and doctoral student Astrid Pihl, under the leadership of Professor Martin Andersson.<br /><br /><br /><br /><strong>Previously published news articles about the three prize winners:</strong><br /><br />Martin Andersson: <a href="/en/departments/chem/news/Pages/Skeletal-imitation.aspx">Skeletal imitation reveals how bones grow atom-by-atom</a> (Nov 2018)<br /><br />Pernilla Wittung Stafshede: <a href="/en/departments/bio/news/Pages/Eating-fish-could-prevent-Parkinsons-disease.aspx">Eating fish could prevent Parkinson's disease</a> (May 2018)<br /><br />Fredrik Höök: <a href="/en/departments/physics/news/Pages/75-MSEK-for-developing-target-seeking-biological-pharmaceuticals.aspx">75 MSEK for developing target seeking biological pharmaceuticals</a> (Feb 2017) <br />Tue, 30 Apr 2019 11:00:00 +0200 for ICT Seed projects 2020<p><b>​Call for proposals that address strategic areas of ICT with interdisciplinary approach. This year the call is distributed earlier to allow more time for the planning of the accepted projects.</b></p><strong>​Important dates:</strong><br />Submission: 31 May, 2019<br />Notification: July, 2019<br />Expected start of the project: January 2020<br /><br /><strong>Background: </strong><br />The Information and Communication Technology (ICT) Area of Advance (AoA) provides financial support for SEED projects, i.e. projects with innovative ideas that can be a starting point for further collaborative research and joint funding applications. We will prioritise research projects that involve researchers from different research communities (for example across ICT departments or between ICT and other Areas of Advances) who have not worked together before (i.e., have no joint projects or publications). Young researchers are particularly encouraged to apply.<br /> <br />AoA ICT has identified four research profiles: Connected World (communication, sensing, interactive systems), Automated Society (intelligent systems, autonomous systems), Big Data (data analytics, data visualisation), and Digital Sustainability (energy-aware systems, security and privacy, safety). This call encourages proposals that are related to these profiles or combinations of them. <br /><br /><strong>Details of the call: </strong><br />• The project should include at least two researchers from different divisions at Chalmers, who should have complementary expertise.  <br />• The project should contribute to sustainable development. <br />• Consider gender balance in your project team.<br />• The budget should be between 100 kSEK and 300 kSEK, including indirect costs (OH). The budget can cover personnel costs. It can also be used to, e.g., hire master students or host guest researchers, and similar. The budget cannot cover costs for equipment or travel costs to conferences or similar events. The total budget of the call is 1 MSEK, which will allow for 3-5 projects. <br />• The project must start in early 2020 and should last 3-6 months. <br /><br /><strong>The proposal form:</strong><br />The application should be maximum 3 pages long, font Times–roman, size 11. In addition, max 1 page can be used for references. A one-page CV of the main applicants should be included (max 4 CVs). Proposals that do not comply with this format will be desk rejected (no review process).<br /><br /><strong>The proposal should include:</strong><br />a) the project title and the project abbreviation<br />b) name, e-mail, and affiliation (department, division) of the project applicants<br />c) the research challenges addressed and the objective of the project; interdisciplinary aspects should be highlighted; also the applicant should discuss how the project contributes to sustainable development, preferably in relation to the <a href="" target="_blank">UN Sustainable Development Goals</a>.<br />d) the project description <br />e) the expected outcome (including dissemination plan) and the plan for further research and funding acquisition<br />f) the project participants and the planned efforts<br />g) the project budget and time-line<br /><br /><strong>Protection of intellectual property:</strong><br />Parts c), d) and e) of proposals that are not funded will be protected; these parts are therefore not accessible to the public.<br /><br /><strong>Evaluation Criteria:</strong><br />• Interdisciplinary<br />• Innovative research idea<br />• Possibility of further research and joint funding applications<br />• Budget and project feasibility<br />• Dissemination plan<br />• Relevance for AoA ICT and Chalmers research strategy<br /><br /><strong>Submission:</strong><br />The application should be submitted as one PDF document to: <a href=""></a><br /><br />The proposals will be evaluated by the AoA ICT management group together with the AoA ICT profile leaders.<br /><br />Questions can be addressed to Ivica Crnkovic <a href=""></a> or Giuseppe Durisi <a href=""></a>. <br /><br /><div>General information on the research within the Area of Advance ICT can be found <a href="/en/areas-of-advance/ict/Pages/default.aspx"><br /></a></div> <div><br /></div> <div><img src="/SiteCollectionImages/Areas%20of%20Advance/Information%20and%20Communication%20Technology/About%20us/IKT_logo_600px.jpg" class="chalmersPosition-FloatLeft" alt="Area of Advance ICT logo" style="margin:5px" /><br /><br /><br /><a href="/en/areas-of-advance/ict/Pages/default.aspx"></a></div> Thu, 18 Apr 2019 12:00:00 +0200’-AI-initiative.aspx start for Chalmers’ AI initiative<p><b>​Chalmers is starting up an extensive initiative in the field of artificial intelligence to enhance and coordinate the current AI research. A kick-off event will be held on 4 March for the new Chalmers AI Research Centre (CHAIR), with a two-day seminar on AI.</b></p>​“The aim of the centre is to enhance Chalmers’s AI expertise in research, education and innovation,” says Stefan Bengtsson, CEO and President at Chalmers. “We already have a hundred researchers working with AI in various ways, but now we’re focusing our efforts to a new level, by recruiting prominent researchers and building up close collaboration with industry.” <p><br />The Chalmers initiative will cost about SEK 370 million over ten years. It is the biggest investment in AI research from a single university in Sweden. The majority of the centre’s funding, SEK 317 million, comes from the Chalmers University Foundation. The plan is that investments from the centre’s partners in industry and the community will double the total funding. The goal is a world-class AI centre of expertise. <br /></p> <p>“We’re building up unique expertise in AI in combination with Chalmers’s existing excellence in application fields like transportation, automation, systems and software,” says Ivica Crnkovic, director of the centre. </p> <p>One key aspect of the centre will be collaboration with industry and the public sector. Chalmers is making ties to key strategic partners who will have influence over the centre’s development, participate in research projects and utilise research results and the centre’s broad network of expertise. Chalmers is also one of the co-founders of the national <em><a href="/sv/styrkeomraden/ikt/nyheter/Sidor/Chalmers-partner-i-AI-Innovation-of-Sweden.aspx">AI Innovation of Sweden</a></em> initative. </p> <p>Chalmers AI Research Centre will be enhancing its partnerships with Wallenberg Artificial Intelligence, Autonomous System and Software Program (WASP) and especially with WASP-AI. WASP is Sweden’s single biggest research programme through the ages, and WASP-AI is the biggest investment in AI research in the country. </p> <p>“CHAIR is an impressive initiative,” says Sara Mazur, vice-chair of WASP and a member of the centre’s advisory board, “and it’s a very positive step that Chalmers is assembling expertise in the field. This will improve the university’s collaboration with WASP.” </p> <p>In connection with Chalmers’s annual <a href="/en/areas-of-advance/ict/events/initiative-seminar-AI2019/Pages/default.aspx">initiative seminar in ICT </a>on 4–5 March at the Lindholmen Conference Centre, there will be a kick-off event for the centre. The programme features prominent speakers from academia and industry.  Participants will include the centre’s advisory board, including Sara Mazur, vice-chair of WASP; Anna Nilsson-Ehle, chair of Vinnova; Mark Girolami, programme director at the Alan Turing Institute; Staffan Truvé, co-founder of Recorded Future; and Daniel Langkilde, co-founder of Annotell. </p> <p></p> <p><a href="/en/areas-of-advance/ict/events/initiative-seminar-AI2019/Pages/Video-webcast.aspx"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/ichtm.gif" alt="" />You can watch the initiative seminar on live stream (starting at 09.00 CET, Monday 4 March).</a><br /></p>Tue, 26 Feb 2019 00:00:00 +0100