News: Informations- och kommunikationsteknik related to Chalmers University of TechnologyTue, 17 Apr 2018 20:05:56 +0200 for BIG DATA research projects<p><b>​Call for seed-project proposals (budget not exceeding 300 kSEK) that address BIG DATA related research.</b></p>​ <br />Data driven research is becoming increasingly important for many research activities at Chalmers. To extract valuable patterns from big data 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 BIG DATA projects, i.e., projects with a strong emphasis on methods of data analysis that are needed in research projects.<br /><br />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 to several successful research projects ranging across different fields of Chalmers.<br /><br />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). This call is a part of the BIGDATA@Chalmers initiative.<br /><br />The BIGDATA@Chalmers data science research engineers are available for consultations on the proposals during the weeks leading up to the submission deadline. They can be contacted through the mailing list <a href=""></a>. It is recommended to involve them in the formulation of the proposal.<br /><br /><strong>Requirements:</strong><br />• The data science research engineers will provide collaboration and support in new, or existing projects, in an area of big data, such as machine learning/data analytics, data storage, and data visualization.<br />  <br />• 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.<br /><br />• The projects should start in the period between 1st of September and 1st of October 2018. The exact date and extent can be discussed.<br /><br />• The budget should not exceed 300 kSEK including indirect costs (OH). It can cover personnel costs, for example hiring masters students, or involvement of domain related researchers and engineers.<br /><br />• The proposal for the support and collaboration should have a clear relation to Big Data and research. The proposal should be focused on utilization of data in different application areas in relation to Chalmers research activities.<br /><br /><strong>The proposal form:</strong><br />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.<br /><br />The proposal should include:<br />a) The project title and the project abbreviation<br />b) The main applicants - name and e-mail and department<br />c) The preferred starting date and ending date for the project<br />d) A short overview of the project, with its research challenges and objectives and its relation to big data<br />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 other embargos.<br />f) A concrete description of the support requested from the data science research engineers.<br />g) The required expertise from BIGDATA@Chalmers (what type of expertise, and the expected involvement). Note: interaction with the team during the writing of the proposal is recommended, please see above.<br />h) The expected outcome and its potential for further research/activities.<br />i) The project overall budget and time-line.<br />j) The planned effort for the data science research engineers<br />k) The plan for dissemination including scientific publications<br /><br /><strong>Important dates:</strong><br />Submission: 20 May, 2018<br />Notification: 20 June, 2018<br />Expected project start: Between 1 September - 1 October 2018 (can be negotiated)<br /><br /><strong>Evaluation Criteria:</strong><br />• How innovative is the project?<br />• How central is the use of big data methods in the project?<br />• How high is the potential impact of the project for its research field?<br /><br /><strong>Submission:</strong><br />The application should be submitted as one PDF document to<br /><a href="" target="_blank"></a><br /><br />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.<br /><br />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=""></a>.<br /><br />The data science research engineers and the project management team can be reached at <a href=""></a>Mon, 16 Apr 2018 17:00:00 +0200 of Digitalisation: Speed, Services and Software<p><b>​A new Software Center initiative gathered senior leaders from member companies to discuss implications of digitalisation, and in particular how business models are affected by digitalisation.</b></p>​ <br />“Digitalisation not just affects products and services. It requires a fundamental reinvention of the organisation. We are moving towards a new business operating system focused on speed, data, ecosystems and empowerment”, says Software Center Director Jan Bosch. <br /><br />Participants of the workshop presented their companies ́ approach to addressing the digitalisation challenge and shared best practice. The workshop took place in Gothenburg and was hosted by Jeppesen. During the workshop some participants were interviewed and the short video above summarises the event.<br /><br /><br /><a href="" target="_blank"></a>Mon, 19 Mar 2018 15:00:00 +0100 Digitalisation seminar on video<p><b>​Take part of the latest in security, privacy and machine intelligence research. The presentations are available on video.</b></p>​<span><br /><a href="/en/areas-of-advance/ict/events/Digitalisation2018/Pages/default.aspx">The videos are available from this page &gt;</a><br /><br /><span style="display:inline-block"></span></span><br /><br />More than 300 participants have already registered for Chalmers initiative seminar on Digitalisation. Those who are unable to attend can watch the presentations through the live stream.<br /><br />The Initiative Seminar is a follow-up of last year's event, this time with a more in-depth programme. The first half day is devoted to security and privacy issues. The program includes speakers from both Chalmers and other universities, and presentations include the challenge of being anonymous on the Internet, securing the web of things, and the questions of trust in cloud services. The half-day ends with a panel discussion about AI and its risks.<br /><br />After lunch, an equally extensive program of machine intelligence starts, bringing together experts in various disciplines, as well as industry – Ericsson and Google Deepmind. The speakers present research findings in areas such as urban structure, telecom, computer vision and language. Devdatt Dubhashi from Chalmers rounds off the program with a presentation about AI and future.<br /><br /><br /><br />Follow hashtag: #digichalmers<br /><br /><strong>Hackathon: Machine learning hack for sustainability</strong><br /><img src="/en/areas-of-advance/ict/events/Digitalisation2018/PublishingImages/AIY-voice-kit_400px.jpg" class="chalmersPosition-FloatRight" alt="" style="margin:5px;width:200px;height:158px" />In parallel with the Initiative Seminar in Chalmers Kårhus, we will hold a hackathon in cooperation with IT-gymnasiet. About 30 high school students will develop and present their ideas during the seminar. The name of our hackathon is &quot;Machine Learning Hack for Sustainability&quot;. With ready to use machine learning libraries, and a <a href="" target="_blank">Google AIY voice kit</a>, the students are commissioned to propose an application that would promote sustainable development. The winning team presents their idea on stage in Runan at the end of the day.<br /><br /><br />Contact: Malin Ulfvarson, Communications Officer, Chalmers Area of Advance ICT, <a href=""></a>Wed, 07 Mar 2018 11:00:00 +0100 Industrial PhD student positions in AI<p><b>​Call open for Industrial PhD students in artificial intelligence. Application deadline 11 May 2018.</b></p>​ <br />Wallenberg Artificial Intelligence, Autonomous Systems and Software Program (WASP) is Sweden’s largest ever individual research program, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is Excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry. <br /><br />One part of the initiative in Artificial Intelligence has a strong focus on machine learning and more specifically deep learning but includes also other areas of AI. The second part deals with increasing our understanding of the mathematical principles behind AI. <br /><br />The graduate school within WASP is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous systems and software. Through an ambitious program with research visits, partner universities, and visiting lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between PhD-students, researchers and industry. The graduate school provides added value on top of the existing PhD programs at the partner universities, providing unique opportunities for students who are dedicated to achieving international research excellence with industrial relevance. Further information about WASP Graduate School can be found here. <br /><br /><strong>Open positions within Artificial Intelligence</strong> <br />We are now (2018 March 2) offering up to 15 industrial doctoral student positions within AI at the five partner universities Chalmers, KTH, Linköping University, Lund University and Umeå University. In addition to the partner universities, applications for this call can include Örebro University. <br /><br /><strong>Guidelines for WASP Industrial doctoral student positions </strong><br />There are a set of guidelines for WASP Industrial PhD students that are important to consider during the application process. The guidelines (in Swedish) can be found <a href="">here</a>. <br /><br /><strong>Application process </strong><br />The application should be written in a dedicated application form and submitted jointly by the industry and university. The form is available <a href="">here</a>. The form together with requested CVs and a course transcript for the industrial doctoral student, as stated in the form, should be sent to <a href=""></a> <strong>no later than 2018-05-11</strong> <br /><br /><strong>Information and guidance </strong><br />There will an information meeting for industry in connection with the <a href="">AI4X meeting</a> in Stockholm 2018-04-11. In addition to general information there will be a possibility to ask questions and to get suggestions for academic contacts. For further information and contact with Chalmers, please contact: <br /><span>David Sands, Chalmers (<a href=""></a>) <span style="display:inline-block"></span></span><br /><br />For further information and contact with the other partner universities, please contact:<br />Danica Kragic, KTH (<a href=""></a>) Amy Loutfi, ÖrU (<a href=""></a>) <br />Fredrik Heintz, LiU (<a href=""></a>) Thomas Schön, UU (<a href=""></a>) <br />Helena Lindgren, UmU (<a href=""></a>) Karl-Erik Årzén, LU (<a href=""></a>) <br /><br /><strong>Timetable </strong><br />2018-04-11 Information &amp; Q/A Stockholm <br />2018-05-11 Application deadline <br />2018-06-11 Decision <br />2018-08-01 Earliest start <br />2019-01-01 Latest startMon, 05 Mar 2018 11:00:00 +0100 we trust a self-learning machine?<p><b>​Security and trust is needed before self-driving cars can finally be launched. With the help of machine learning and deep learning, key technologies are being developed that will take us there – the self-learning system.</b></p><div>​ </div> <div>A car approaches a crossing where a pedestrian stands next to the road, turning her head. Is she about to cross the street or not?</div> <div>“People react quickly, almost without thinking, but it has been difficult to get a self-driving car with traditional computer vision technology to extract such information. With deep learning, it becomes possible”, says Erik Rosén, technical specialist at Zenuity.</div> <div> </div> <div>The company Zenuity, co-owned by Volvo Cars and Autoliv, will develop software to ensure the safety of self-driving cars. It's about getting the car, or as Erik Rosén says, &quot;the four-wheel computer&quot;, to find patterns and relations in large amounts of traffic data, and thereby gaining the ability to drive safely in traffic.</div> <div>“Deep learning, which is machine learning using deep neural networks, has become hot in recent years. The technology is invaluable to us, especially when we develop what we call the perception layer.”</div> <div> </div> <div>In order to gain excellence, Zenuity works closely with Chalmers. In the division of Computing Science they have several industrial PhD students, and Nasser Mohammadiha, technical specialist in machine learning at Zenuity, is an Adjunct Associate Professor at Chalmers.</div> <div>&quot;In my dual role, I also give researchers insight into the challenges facing Zenuity, which gives rise to new research questions. Chalmers is an important part of this development.”</div> <div> </div> <div>Several research projects have started in collaboration, including verification of software.</div> <div>&quot;We want to understand why the system makes a certain decision. How does it happen? To do that we have to go back to the origin of the source. We make tests with both good and bad decisions. A safe system must be able to anticipate all possible scenarios, such as how other cars are expected to drive. It's very complex”, says Nasser Mohammadiha.</div> <div> </div> <div>The development is extremely rapid and companies are competing to get a self-driving system on the market. Are they in too much of a hurry? Erik Rosén is afraid so.</div> <div>&quot;Some technology companies are very keen on performing cool demonstrations. They show off a powerful super sensor, which is great at capturing information. But what happens if it stops working, if it’s not able to connect to the map or anything breaks?”</div> <div> </div> <div>At Zenuity, they work with the motto &quot;make it real&quot;. A self-driving system might be really smart in traffic, but as long as it cannot be guaranteed that it will always work – it's not safe. And the software architecture is not yet there.</div> <div>&quot;There is a need for redundancy in the software architecture as well as in the hardware. That is the biggest challenge. If a computer stops working in the car, another must be switched on, if the sun is low and blinds a camera, a radar or other sensor must take over.”</div> <div> </div> <div>It sounds almost like Nasa technology?</div> <div>&quot;Yes, actually,&quot; says Erik Rosén, laughing. Certainly, if you want to take the control of the car from the driver, you cross a line that is very challenging. Anyone who wants to put a product on the market must work with redundancy&quot;, says Erik Rosén.</div> <div> </div> <div>He says that Sweden is at the forefront of the development of self-driving systems, and already in 2021 he hopes that Zenuity has one in the market.</div> <div>“Which means that the driver can hand over the control to the car but only under certain circumstances. I cannot say exactly which today, but weather conditions, lighting conditions and traffic environments are what matters&quot;, says Erik Rosén.</div> <div> </div> <div> </div> <div> </div> <ul><li>Machine learning is simply put, algorithms that are trained to solve tasks based on recognizing statistical patterns in large amounts of data.<br /></li> <li>Deep learning is machine learning that uses so-called neural networks (see below) as a model for learning.</li> <li>Artificial neural networks are self-learning algorithms that imitate the model of biological neural networks (such as the brain). Artificial neural networks can often handle problems that are difficult to solve with conventional task-specific programming. A neural network must be trained with examples before it can fulfill its intended function.</li></ul> <div> </div> <div> </div> <h2 class="chalmersElement-H2">Welcome to our Initiative seminar on Digitalisation: </h2> <h2 class="chalmersElement-H2">Security &amp; Privacy | Machine Intelligence</h2> <div>On 15 March 2018, Chalmers organise a second Initiative seminar on Digitalisation. This time we present a more in-depth programme – with half a day on Security and Privacy and the other half-day on Machine Intelligence.  </div> <div><a href="/en/areas-of-advance/ict/events/Digitalisation2018/Pages/default.aspx">See the programme and register for the seminar &gt;</a><br /></div>Mon, 26 Feb 2018 09:00:00 +0100 granted ICT SEED proposals 2018<p><b>​Six projects has been granted the ICT SEED funding by the Area of Advance ICT.</b></p>​ <br />A total of 1,2 MSEK have been granted to the 6 approved proposals. The criteria for the selection were those specified in the call.<br /><br /><br /><strong>Marcela Davila, Francisco Gomes de Oliveira Neto, Jennifer Horkoff and Alexander Schliep</strong><br />Optimized Bioinformatics, Workflows from Requirement Engineering of Solution Specifications (OBIRES)<br /><br /><strong>Mattias Thorsell and Rob Maaskant </strong>   <br />Integrated Antenna on GaN (InGaN)<br /><br /><strong>Hana Dobsicek Trefna, Koen Buisman, Thomas Eriksson and Christian Fager </strong>   <br />An UWB hyperthermia: from theory to practice <br /><br /><strong>Martin Engqvist and Marina Axelson-Fisk</strong>    <br />Active learning of enzyme function annotation<br /><br /><strong>Gul Calikli, Richard Johansson and Cetin Mericli</strong><br />SEFIS: Software Engineering for Intelligent Systems<br /><br /><strong>Morten Fjeld and Anders Logg</strong><br />Virtual Cities: Interaction and Usability Aspect (VC-UI)<br /><br />-----<br />Here was the call (the deadline has passed)<br /><a href="/en/areas-of-advance/ict/news/Pages/Call-for-ICT-Seed-projects-2018.aspx">Call for ICT Seed projects 2018 &gt;</a><br /><br />Mon, 26 Feb 2018 08:00:00 +0100 project video presentations<p><b>​On 7th February we held a workshop to present all the 2017 Big Data and ICT SEED projects. The instruction was to make a short video to present the respective activities, and below you will find the results. Enjoy!</b></p>​ <br />The videos are 3-5 min each.<br /><br /><a href="" target="_blank">ULTRA-OPTICS: Ultra-fast fiber-optical communication through frequency combs</a> <br />Henk Wymeersch, Victor Torres-Company<br /><br /><a href="">Goal-Oriented Requirements Engineering for Game Development </a><br />Jennifer Horkoff, Staffan Björk<br /><br /><a href="" target="_blank">Joint Transmission in Radio Frequency and Free Space Optical Links </a><br />Behrooz Makki, Koen Buisman<br /><br /><a href="" target="_blank">THz Radar Tomography of Energy Reactors (Trator) </a><br />Tomas Bryllert, Martin Seemann<br /><br /><a href="" target="_blank">Application and dissemination of Spatio-Temporal MetOcean models for marine energy applications </a><br />Presented by: Igor Rychlik, Oscar Ivarsson, David Bolin, Wengang Mao, Leif Eriksson<br /><br /><a href="" target="_blank">Big Data for Airborne Wind Energy Systems Optimization </a><br />Sebastien Gros, Vilhelm Verendel, Elena Malz<br /><br /><a href="" target="_blank">Omics-Driven Analysis of the Cancer Secretory Program </a><br />Jonathan Robinson, Muhammad Azam Sheikh, Pramod Bangalore, and Jens Nielsen<br /><br /><a href="" target="_blank">Bayesian Optimization in Nuclear Physics (BONP) </a><br />Andreas Ekström, Hans Salomonsson, Muhammad Azam Sheikh, Christian Forssén, Håkan T. Johansson, Andreas Johansson<br /><br />Mon, 26 Feb 2018 08:00:00 +0100 a solid ground for cybersecurity<p><b>Substantial tools and methods to counter the most common vulnerabilities on the web. Efforts to develop a secure internet of things for industrial use. Two new, extensive cybersecurity projects are about to start at the Department of Computer Science and Engineering.</b></p><div>Cybersecurity research at Chalmers has been successful for a long time, and now two framework grants from SSF will further strengthen the area. Two applications, WebSec and Octopi, received funding in last year's major call for cybersecurity. WebSec will be conducted largely within the division for Information Security, while Octopi has extensive collaboration with the division for Functional Programming. Both projects aim at introducing the security aspect early in development, rather than searching for, and attempting to correct errors when the systems are already taken in production. <br /></div> <h3 class="chalmersElement-H3">Trying to prevent as much as possible </h3> <div><div><img src="/SiteCollectionImages/Institutioner/DoIT/News/Andrei-Sabelfeld-small.gif" class="chalmersPosition-FloatRight" alt="Photo of Andrei Sabelfeld" style="margin:5px;width:351px;height:329px" />&quot;The goal of security research is to ensure that security is not getting in the way of other development, that there are tools and automated methods that make it hard to make mistakes&quot; says Andrei Sabelfeld, Professor in the Information Security division and project leader for the new SSF-funded project WebSec. </div> <div> </div> <div>One of the most serious threats to web security is cross-site scripting, which means that the attacker is able to inject malicious code in the victim's web browser. Companies pay big money every year to detect and block security holes in the systems they use. <br /><br /></div> <div>&quot;Web systems are heterogeneous, they are implemented in different programming languages ​​and designed at different levels, so when you connect them, there will be holes. In a typical cross-site scripting attack, the attacker injects code instead of data. With new programming languages ​​and security enhancing mechanisms, such attacks can be prevented. In the project, we will develop new concepts for analyzing web applications for detection, mitigation, and prevention of cross-site scripting attacks&quot;, says Andrei Sabelfeld. </div> <div> </div> <div>For JavaScript, the most common programming language on the web, the project will deliver a platform for analysis that will aid programmers in producing code that is already protected when it goes in to production. <br /><br /></div> <div>&quot;We will also work with system-wide security. We return to the problem that different components are designed in different programming languages, and often we succeed in securing one of the components, perhaps the browser or database, but when they're connected, new errors occur that we didn't think of&quot;, says Andrei Sabelfeld. <br /><br />Here, the researchers will build mechanisms to track the information throughout the system, and ensure that no information is destroyed or leaked. </div> <h3 class="chalmersElement-H3">Internet of things moving towards the industry </h3> <div><div><img src="/SiteCollectionImages/Institutioner/DoIT/Profile%20pictures/ST/Alejandro-Russo.jpg" class="chalmersPosition-FloatRight" alt="Photo of Alejandro Russo" style="margin:5px" />&quot;The Internet of Things refers to a wide variety of connected devices - big things like cars, smaller things as a robot vacuum cleaner, your wrist watch, or anything that has some computational power and is connected to the internet. The idea is that all these devices should be interconnected to simplify and improve your life, but this trend brings major problems when it comes to security&quot;, says Alejandro Russo, professor in the division for Information Security, and project leader for Octopi.</div> <br />Industry is showing increased interest in harnessing the benefits of the internet of things, for example user data sampling and data from sensor measurements can be used to improve the next generation of products. But the overall security level is too low, and an unsafe internet of things is open for attack. There are frightening examples of how smart refrigerators have been hacked to access password data, and connected cars have been taken over and remotely controlled.</div> <br />In most programming languages used to program devices for the internet of things today, security is not a factor. Octopi will make the development of embedded systems comfortable while help placing security at a central point in the deveoper's mind.<br />&quot;The project is unique in the way it will apply the advantages of programming in very high level languages; correctness, security, reasoning about software, for developing software for the internet of things. But this vision requires solutions to some tough problems in order to become a reality&quot;, says Alejandro Russo. <br /></div> <br /> <h4 class="chalmersElement-H4">Project information</h4> <div><strong>WebSec, Säkerhetsdrivna webbsystem </strong><br />Project leader: <a href="/en/Staff/Pages/andrei.aspx">Andrei Sabelfeld</a>, Chalmers University of Technology. <br />Project members: <a href="/en/Staff/Pages/russo.aspx">Alejandro Russo</a> och <a href="/en/Staff/Pages/dave.aspx">David Sands</a>, Chalmers University of Technology, and <a href="">Philipp Rümmer</a>, Uppsala University. <br />The project is funded by <a href="">Swedish Foundation for Strategic Research</a> with 30 million SEK. <br /><br /><strong>Octopi, säker programmering för sakernas internet</strong><br /> Project leader: <span><a href="/sv/personal/Sidor/russo.aspx">Alejandro Russo</a>, Chalmers University of Technology. </span></div> Project members: <a href="/en/Staff/Pages/mary-sheeran.aspx">Mary Sheeran</a>, <a href="/en/Staff/Pages/rjmh.aspx">John Hughes</a>, <a href="/en/Staff/Pages/koen.aspx">Koen Lindström Claessen</a> and <a href="/en/Staff/Pages/secarl.aspx">Carl Seger</a>, division for Functional Programming, Chalmers University of Technology. <br />Industrial Partners: Pelagicore AB, LumenRadio AB och Ericsson. <br />The project is funded by <a href="">Swedish Foundation for Strategic Research</a> with 31 million SEK. <br />Mon, 12 Feb 2018 00:00:00 +0100 computers learn how to diagnose brain diseases?<p><b>​Imaging technology has revolutionized healthcare and is widely used for diagnosis before treatment or surgery. Despite these advances, routine clinical MRI data interpretation is mostly performed by medical experts. Is it possible to use deep learning to teach computers to diagnose brain diseases as well as or in some aspect even better than medical doctors?</b></p>​<span><img class="chalmersPosition-FloatLeft" src="/SiteCollectionImages/Institutioner/E2/Nyheter/Kan%20datorer%20lära%20sig%20att%20diagnosticera%20hjärnsjukdomar/Inrene_Gu_200px.jpg" alt="" style="margin:5px" /><span style="display:inline-block"></span></span>Deep learning is about using powerful computers with embedded artificial intelligence to resemble the human brain's way of interpreting new information and draw conclusions in relation to what is already known. The difference is that computers, amongst other things, are able to analyse much larger amounts of data, which can be used to find better methods for solving difficult mathematical and technical problems.<br /><br />“Using a large amount of brain image data, deep learning methods can be used to find characteristic features related to some diseases, and provide powerful diagnostic tools to medical doctors”, says Irene Gu, Professor in the signal processing group at Chalmers. <br /><br />So far, only preliminary research work on deep learning is reported in the medical area. In computer vision, deep learning has reached or even surpassed human performance when it comes to face recognition. <br />Recently, Irene Gu has started a research initiative on brain image analytics using deep learning methods in close collaboration with medical doctors at Sahlgrenska University Hospital and several students. The question is: Would it be possible for artificial intelligence technology to diagnose Alzheimers’ disease, or to find brain tumors’ grading, by only using a large amount of brain image data?<br /><br />“We have obtained some initial promising results. Our ambition is to reach the performance of medical experts and yet in much simpler ways”, says Irene Gu.<br /><br /><strong>Detection of Alzheimer’s disease</strong><br />Alzheimer’s disease is a chronic neuro-degenerative disease currently incurable, its cause is not yet completely understood. According to WHO’s statistics in 2015, roughly 30 million people in the world suffer from Alzheimer’s. The symptoms consist of disorientation, language difficulties, memory loss, mood swings and many more. Early diagnosis and treatment can potentially slow down the development of the disease.<br /><br />Brain scans by magnetic resonance imaging, MRI, is a commonly used diagnostic method for detecting Alzheimer’s disease. This is often used in combination with other diagnostic methods involving a set of clinical exams, by observing the progression of dementia symptoms.<br /><br />“In this project, two dedicated deep learning methods, simple yet effective, have been developed for detection of Alzheimer’s disease. One method is based on 3D convolutional networks, another on 3D multiscale residual networks. We use a large amount of brain MRI scans to learn our computers the features of Alzheimer’s disease, and subsequently to detect Alzheimer’s patients from unseen scans”, Irene Gu explains. <br /><br />The study involved 340 subjects and about 1200 MR images, obtained from a public available dataset, Alzheimer’s Disease Neuroimaging Initiative (ADNI).<br /><br />“The proposed schemes have yielded high accuracies. For example, one method has reached an accuracy of 98,74 % on previously unseen MRI scans, and 90,11 % from MRI scans of unseen patients in the study. This almost reaches the highest state-of-the-art research results”, Irene Gu says. “This indicates that the method that we have developed is useful in this type of studies.”<br /><br />One of the projects was conducted by <a href="">Mahmood Nazari and Karl Bäckström as a master's thesis project</a>.<br />A paper submitted on this work has recently been accepted by IEEE International Symposium on Biomedical imaging (ISBI) 2018. Another MSc project is still ongoing.<br /><br /><strong>Brain tumor grading</strong><br />Encouraged by the good deep learning results using MR images, Irene Gu has started another project based on similar technology, performed by Karl Bäckström in 2017. <br /><br />“Thanks to the interest in computer-assisted brain tumor diagnostics shown by medical doctors at Sahlgrenska, and seed funding from the department of Electrical Engineering at Chalmers, we could perform a study on brain tumor (glioma) grading using deep learning”, says Irene Gu.<br /><br />A glioma is a type of tumor that starts in the glial cells of the brain or the spine. Gliomas comprise about 30 percent of all brain tumors and central nervous system tumors. About 80 percent of all malignant brain tumors are gliomas.<br /><br />The broad international collaboration networks, which the medical doctors are engaged in, have provided the researchers with brain tumor datasets from USA, France and Austria.<br />We have already obtained some promising results, though on relatively small datasets”, says Irene Gu. “Now we are conducting further in-depth research, where more students and researchers from Chalmers participate in close collaboration with Sahlgrenska University Hospital.”<br /><br />Text: Yvonne Jonsson<br /><br /><strong>More information</strong><br /><a href="/sv/personal/Sidor/Irene-Yu-Hua-Gu.aspx">Irene Gu</a>, Professor, Department of Electrical Engineering, Chalmers<br /><a href=""></a><br /><a href=""></a><br /><a href="/en/departments/e2/research/Signal-processing-and-Biomedical-engineering/Pages/Image-and-video-analysis.aspx"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/ichtm.gif" alt="" />Read more about computer vision and medical image analysis</a><br />Thu, 08 Feb 2018 08:00:00 +0100 much can a computer understand?<p><b>​Machine learning has revolutionized computers understanding of language in just a few years. Yet they still do not truly understand what it is that they know.</b></p>​ <br />Some people are afraid that there will be a time when computers get so smart that they form liaisons and take over the world. Shalom Lappin, Professor of Computational Linguistics at the University of Gothenburg, is not one of them.<br /><br /><a href="" target="_blank"><img src="" alt="Shalom Lappin, University of Gothenburg" class="chalmersPosition-FloatRight" style="margin:5px" /></a>“The revolution in artificial intelligence that has arrived with the deep learning technology is still in its infancy, and even though it’s developing fast, I don’t think the idea of malicious super-agents is a real prospect that we have to worry about in the near future.” <br /><br /><strong>Computers only have the ability to reason</strong> about the task for which they are trained. They can find patterns and associations in millions of data, thus become better than humans in playing chess, translating and writing texts and driving a car. But as soon as we leave a specific and defined area and jump to another they are lost.<br /><br />“My personal feeling is that we will never quite get to the point where machines have something that resembles general reasoning power. But I could well be wrong”, says Shalom Lappin.<br /><br /><strong>Computers’ weakness is that they don’t really understand anything</strong>, adds Richard Johansson, Associate Professor at the division of Data Science at Chalmers. But with the help of machine learning, they can be very good at recognizing informative patterns. Therefore, they are very good at understanding languages in both speech and writing.<br /><br /><a href="" target="_blank"><img src="" alt="Richard Johansson, Chalmers" class="chalmersPosition-FloatRight" style="margin:5px;width:220px;height:278px" /></a>“The development is gradual, sometimes in leaps. Google translate is much better now than ten years ago, and today it provides useful translations, but I hardly believe that professional translators use it to any large extent”, says Richard Johansson, and mentions a problem area for machine translation:<br /><br />“The word &quot;it&quot; is translated with &quot;den&quot; or &quot;det&quot; in Swedish, and sometimes you may need to go back a few sentences to understand what “it” refers to to be correct.<br /><br />The improvement of Google's machine translations in recent years is largely due to the switch from statistical translation to a deep learning model. This allows the system to understand the context and thus generate improved translations.<br /><br /><strong>How good can computers get at recognizing patterns and relations?</strong> The sky is the limit, says Shalom Lappin, and mentions the development of facial recognition as an example where the computer is already superior to humans.<br /><br />Translations are the flagship area of machine learning technology today, but how well do computers perform on language processing? Imagine, for example, reading a text to a computer and getting it processed and rewritten. Richard Johansson thinks it’s not impossible.<br /><br />“First, your speech signal will be converted into text, and that technology is relatively good already. Then the text will be rendered into a grammatically well-structured language. I think that is fully operational within a few years.”<br /><br /><strong>Is there a risk that the personal language will disappear?</strong><br />&quot;Yes, should people get lazy and formulate carelessly, the language can certainly get more generic and less personal. On the other hand, I think it will take a long time before computers can make major changes in texts, such as moving paragraphs or sentences to make them well-structured&quot;, says Richard Johansson.<br /><br /><br /><br /><ul><li><strong>Artificial intelligence</strong> refers to computers that imitate human cognitive functions such as learning and problem solving.</li> <li><strong>Machine learning</strong> is, simply put, algorithms that are trained to draw conclusions based on large amounts of data.</li> <li><strong>Deep learning</strong> is machine learning that uses so-called neural networks (see below) as a model for learning.</li> <li><strong>Artificial neural networks</strong> are self-learning algorithms that imitate the model of biological neural networks (such as the brain). Artificial neural networks can often handle problems that are difficult to solve with conventional task-specific programming. A neural network must be trained with examples before it can fulfill its intended function.</li></ul> <p><br /></p> <p style="text-align:center"></p> <h4 class="chalmersElement-H4"><div>Welcome to our Initiative seminar on Digitalisation: </div> <div>Security &amp; Privacy | Machine Intelligence</div></h4> <p></p> <p>On 15 March 2018, Chalmers organise a second Initiative seminar on Digitalisation. This time we present a more in-depth programme – with half a day on Security and Privacy and the other half-day on Machine Intelligence.  </p> <p><a href="/en/areas-of-advance/ict/events/Digitalisation2018/Pages/default.aspx">See the programme and register for the seminar &gt;<br /></a></p> <p><a href="/en/areas-of-advance/ict/events/Digitalisation2018/Pages/default.aspx"></a><br /></p> Wed, 17 Jan 2018 09:00:00 +0100 take the chance to be guest researchers in industry<p><b>​The Chalmers researchers Giuseppe Durisi and Tomas Bryllert receive the 2017 Strategic Mobility contribution from the Swedish Foundation for Strategic Research. The aim is to increase the mobility between business and academia and thus enriching both environments.</b></p>​In total, 15 million SEK is distributed among 14 applicants. The Strategic Mobility contribution covers the costs corresponding to one year’s full-time work for a person who wishes to do research at a different workplace than his or her regular.<br /><br /><strong>Research on connectivity solutions for the internet-of-things</strong><br /><img src="/SiteCollectionImages/Institutioner/E2/Nyheter/De%20tar%20chansen%20att%20gästforska%20inom%20industrin/Giuseppe_Durisi_200x245px.jpg" class="chalmersPosition-FloatRight" alt="Link to news article." style="margin:5px" />Information theory is the area of research in which Giuseppe Durisi, Professor at the department of Electrical Engineering, is active. It is a mathematical discipline that deals with optimal methods for representing, communicating, and storing digital information. His mobility grant project “Low-Latency Wireless Random Access for IoT connectivity” will be carried out at the company Qamcom in Gothenburg.<br />“One of the most critical research challenges in my field right now is how to provide secure, reliable, and low-latency wireless connectivity to a massive number of devices that want to exchange data”, says Giuseppe Durisi. “Such devices may be traffic and energy monitors, thermostats, smart watches, or other Internet of Things (IoT) sensors.”<br /><br />“I want to identify and test novel promising connectivity solutions”, Giuseppe Durisi continues. ”At Qamcom, we plan to identify the most relevant use-case scenarios together with selected Swedish municipalities. They are the natural stakeholders of my project, because municipalities may benefit significantly from the deployment of IoT solutions in terms of increased efficiency and cost reductions for the society.”<br /><br />Sweden has the ambition of becoming world-leading in using the opportunities brought by digitalisation. Exploiting IoT connectivity is one of the crucial first steps.<br />“Qamcom is a prominent player in the Swedish IoT landscape, and thus a natural partner to team up with, especially given their long history of successful collaboration with Chalmers. I appreciate their holistic system-level view, which complements my academic orientation”, he concludes.<br /><br />Giuseppe Durisi will be working part time for the project for 18 months, starting in June 2018.<br /><br /><strong>Radar systems at very high frequencies</strong><br /><img src="/SiteCollectionImages/Institutioner/MC2/News/tbryllert_anna-lena_lundqvist_220x180.jpg" class="chalmersPosition-FloatRight" alt="Link to news article." style="margin:5px" />Tomas Bryllert is a researcher at the Terahertz and Millimetre Wave Laboratory at the Department of Microtechnology and Nanoscience – MC2. He works very broad with anything from device- and circuit technology all the way up to operating systems.<br />&quot;The last few years I have worked a lot with radar systems at very high frequencies (220 GHz, 340 GHz). These radar systems are then used to take high resolution 3D images and to do spectroscopy. We are interested in several applications of these radar systems – including process control in industrial reactors, security and atmospheric science,&quot; says Tomas Bryllert. <br /><br />He gets a one year’s full-time salary to be a guest researcher at the defence and security company Saab, and is looking forward to this opportunity: <br />&quot;I’m very glad and excited about taking on a new research area and a new workplace, at the same time I’m a bit worried about if I will have enough time for my commitments at Chalmers and for life outside of work.&quot;<br /><br /><strong>Combine Chalmers knowledge with Saab’s expertise in radars</strong><br />At Saab, Tomas Bryllert will investigate the possibilities with MIMO radar, that is, radar systems that consist of several transmit- and receive elements with individual control of each element. This is a continuation of the development of radars from systems based on mechanically scanned reflector antennas to electronically steered arrays. <br />&quot;There are many similarities with the next generation base stations for mobile networks that will also include electronically steered antennas. We hope to combine Chalmers knowledge in experimental radar systems and communications research with SAAB’s expertise in radars to demonstrate, and better understand MIMO radar,&quot; says Tomas Bryllert. <br /><br />Text: Yvonne Jonsson and Michael Nystås<br />Photo: Oscar Mattsson and Anna-Lena Lundqvist<br /><br /><a href="" target="_blank"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" />Read more about the Strategic Mobility contribution</a><br /><br /><a href="" target="_blank"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" />Read more about Qamcom</a><br /><br /><a href=""><span></span></a><a href="" target="_blank"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/icgen.gif" alt="" /><span style="display:inline-block"></span></a><span>Read more about Saab</span><br /><br />Fri, 22 Dec 2017 11:00:00 +0100 Agrell elected Fellow of IEEE<p><b>​From January 2018 Erik Agrell, Professor in Communication Systems at Chalmers, is elected IEEE Fellow for his contributions to coding and modulation in optical communications.</b></p>​IEEE Fellow is the highest grade of membership in the world’s largest technical professional organization, given to persons with an outstanding record of accomplishments in any of the IEEE fields of interest.<br /><br />“I regard this honour as a recognition of the truly interdisciplinary research we have been pursuing for many years”, says Erik Agrell. “When I started to work on fibre-optic communications in 2003, other researchers with my background, which is communication theory, were very much focused on wireless applications, at Chalmers as well as worldwide. Conversely, progress in optical communications relied largely on photonic hardware improvements. There was practically no interaction between communication theory and photonics.”<br /><br />Nowadays, this picture has changed completely. The internet and our whole information-dense society relies on a backbone network of optical fibres, supporting several terabits per second on a single fibre. <br /><br />“It is now widely recognized that the demands for ever-increasing data rates can only be met by including advanced digital communication techniques in the fibre networks. My team and our collaboration partners in the research centre FORCE were among the first to push this development, and we still have a leading role. We are bringing the worlds of photonics and digital communications closer together!” Erik Agrell concludes.<br /><br /><a href="/sv/personal/redigera/Sidor/erik-agrell.aspx"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/ichtm.gif" alt="" />Read more about Erik Agrell and his research</a><br /><a href="/en/departments/e2/research/Communication-systems/Pages/Optical-communications.aspx"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/ichtm.gif" alt="" />Optical communications</a><br /><a href="/en/centres/force/Pages/default.aspx"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/ichtm.gif" alt="" />Fibre Optic Communications Research Centre, FORCE</a><br /><a href="" target="_blank"><img class="ms-asset-icon ms-rtePosition-4" src="/_layouts/images/ichtm.gif" alt="" />Information about the IEEE program</a><br />Tue, 05 Dec 2017 13:00:00 +0100 report highlights the first decade of GigaHertz Centre<p><b>​A fresh report highlights the first ten years of the GigaHertz Centre at Chalmers. &quot;During one decade, Chalmers has in GHz Centre collaborated with seventeen companies vastly differing in size, business and location,&quot; centre director Jan Grahn writes in his introduction.</b></p><img src="/SiteCollectionImages/Institutioner/MC2/News/ghz_centre_10%20yr-report_cvr_500px.jpg" class="chalmersPosition-FloatRight" width="251" height="355" alt="" style="margin:5px" />The GHz Centre report delivers a ten-year perspective of what research in microwave electronics between Chalmers and industry has resulted in. The impact is both educational, academic and industrial.<br />&quot;Using our partnership in GHz Centre, we have learned how to combine academic curiosity with the entrepreneurial mind-set in industry. As a result, we advance education, new knowledge and innovation in microwave technology for both university and multiple industries ranging from spin-off companies to large system houses&quot;, Jan Grahn writes.<br /><br />The GHz Centre is a centre hosted by MC2. Director Jan Grahn is a professor of microwave technology, at the Microwave Electronics Laboratory at MC2.<br /><br />The Vinnova funded centre is funded for another five-year term for the period 2017-2021. This time a joint-consortium with the antenna system Chalmers centre ChaseOn has been set up.<br />&quot;ChaseOn and GigaHertz Centre form the largest microwave-antenna effort between a single university and industry so far. We anticipate large progress in research and innovation during these five years&quot;, Jan Grahn writes.<br /><br />The new report includes many inspiring examples of activities from the past ten years in the centre's history, such as a world record with a 56% efficiency galliumnitride-based Doherty power amplifier for 3.5 GHz, and a radar system based on galliumnitride HEMT circuits.<br /><br />The report about GigaHertz Centre is available in print format, as downloadable pdf and as a browse-able online version for convenient reading.<br /><br />Text: Michael Nystås<br /><br /><a href="">Browse the report</a> &gt;&gt;&gt;<br /><a href="/en/centres/ghz/Documents/GHz%20Centre_10%20yr-report_for_web.pdf">Download the report (pdf)</a> &gt;&gt;&gt;<br /><br /><a href="/en/centres/ghz">Read more about the GigaHertz Centre</a> &gt;&gt;&gt;<br />Wed, 22 Nov 2017 09:00:00 +0100 kronor programme for Swedish AI research<p><b>​The Knut and Alice Wallenberg Foundation has granted an additional billion Swedish kronor to extend the Wallenberg Autonomous Systems and Software Program (WASP), with a broad investment into artificial intelligence.</b></p>​ <br />The initiative in artificial intelligence will follow two pathways. The larger of these involves an investment into machine learning, deep learning and the next generation of AI. This has been termed “eXplainable AI” and involves asking the system how it reached a particular answer, whereby the system can justify its answers and use them in a general situation. The second pathway deals with increasing our understanding of the mathematical principles behind AI.<br /><br />Each of the two branches has resources to recruit 14 senior researchers and 40 research students, where the research students will become members of graduate schools and take specialist courses in relevant fields. The two new graduate schools will coordinate with the graduate school that has already been established within the framework of WASP, where just over 100 research students are currently studying. Both the senior researchers and the research students will be recruited at the universities that are participating in WASP, primarily Chalmers University of Technology, the Royal Institute of Technology, Linköping University and Lund University. Further Swedish universities, however, may also benefit from the research grant.<br /><br /><img src="/SiteCollectionImages/Areas%20of%20Advance/Information%20and%20Communication%20Technology/News%20events/DavidSands_170x220px.jpg" class="chalmersPosition-FloatRight" alt="David Sands" style="margin:5px" />&quot;This expansion of WASP is a fantastic opportunity for Chalmers and Sweden to build on our existing strengths in AI, but also recruit and train the next generation of AI experts,&quot; says David Sands, Chalmers representative in the WASP Program Management Group.<br /><br /><br />The grant also provides SEK 70 million to reinforce computing infrastructure.<br /><br />“This is a unique investment, even in an international perspective. WASP will in this way obtain the resources needed to create the knowledge platform that Sweden requires if it is to continue to hold its position at the forefront of research and remain competitive,” says Mille Millnert, chair of the WASP board.<br /><br />With this extension, WASP will have a budget of SEK 3 billion between now and 2026. At least 250 research students will be educated, at least 75 of them being industry-based research students. This is a powerful investment with connections to many different parts within artificial intelligence, software development and principles of autonomy. The new grant will also enable the recruitment of 46 senior researchers, the construction of demonstrators (arenas in which the research and commercial worlds can meet in concrete projects), investment into computer infrastructure, guest researcher programmes, and international collaboration.<br /><br />For more information about WASP at Chalmers, contact:<br />David Sands, Professor of Information Security, <a href=""></a><br />Mats Viberg, First Vice President with responsibility for research, <a href=""><br /></a><br /><a href="">Read the full press release from Linköping University &gt;</a>Thu, 16 Nov 2017 11:00:00 +0100 of a Swedish quantum computer set to start<p><b>​A SEK 1 billion research initiative is setting Sweden on course to a global top position in quantum technology. The focus is on developing a quantum computer with much greater computing power than the best supercomputers of today. The initiative, which is headed up by Professor Per Delsing at Chalmers University of Technology, has been made possible by an anniversary donation of SEK 600 million from the Knut and Alice Wallenberg Foundation.</b></p><div><img src="/SiteCollectionImages/Institutioner/MC2/News/kaw_qubit_171101_665x330.jpg" alt="" style="margin:5px" /> </div> <div> </div> <div><em>The Swedish quantum computer is built of superconducting qubits, electrical circuits on a microchip that can host quantum states of single photons. Linking many qubits is relatively easy, but having control of quantum states and errors is difficult. Photo: Johan Bodell/Chalmers</em></div> <div> </div> <div> </div> <div> </div> <div>The progress of research in quantum technology in recent years has brought the world to the brink of a new technology revolution – the second quantum revolution. Researchers have learnt to control individual quantum systems such as individual atoms, electrons and particles of light, which is opening the door to completely new possibilities. Extremely rapid computers, intercept-proof communications and hyper-sensitive measurement methods are in sight.</div> <div> </div> <div> </div> <div> </div> <div>A major Swedish initiative – the Wallenberg Centre for Quantum Technology – is now being launched under the leadership of Chalmers University of Technology to contribute to, and implement the second quantum revolution. Some 40 researchers are to be recruited under the decade-long research programme which begins in January 2018. In addition to the donation from the Knut and Alice Wallenberg Foundation further funds are coming from industry, Chalmers University of Technology and other universities, resulting in a total budget of close to SEK 1 billion.</div> <div> </div> <div> </div> <div> </div> <div><img src="/SiteCollectionImages/Institutioner/MC2/News/kaw_pdelsing_171113_300px.jpg" class="chalmersPosition-FloatRight" width="188" height="282" alt="" style="margin:5px" />The programme’s focus project centres on the engineering of a quantum computer based on superconducting circuits. The smallest building block of the quantum computer – the qubit – is based on principles which are entirely different from those of today’s computers, thus enabling the quantum computer to process vast quantities of data using relatively few qubits.</div> <div> </div> <div> </div> <div> </div> <div>“Our goal is to have a functioning quantum computer with at least a hundred qubits. Such a computer has far greater computing power than the best supercomputers of today and can be used, for example, to solve optimisation problems, advanced machine learning, and heavy calculations of the properties of molecules,” says <a href="/en/departments/mc2/news/Pages/Delsing-seeks-the-truth-about-the-smallest-elements-of-our-existence.aspx" target="_blank">Per Delsing (to the right), Professor of Quantum Device Physics at Chalmers University of Technology and the initiative’s programme director</a>.</div> <div> </div> <div> </div> <div> </div> <div>There is a great deal of interest in quantum technology throughout the world. Major investments are being made in the USA, Canada, Japan and China and the EU is launching a Quantum Technology Flagship in 2019. Companies such as Google and IBM are also investing in quantum computers and, like Chalmers, have chosen to base them on superconducting circuits. Policy-makers and business managers are starting to realise that quantum technology has the potential to change our society significantly, through improved artificial intelligence, secure encryption and more efficient design of medicines and materials.</div> <div> </div> <div> </div> <div> </div> <div>“If Sweden is to continue to be a leading nation we need to be at the forefront in these fields. By focusing on the long-term expansion of expertise and by attracting the best young researchers we can put Sweden on the quantum technology map in the long term. There are no shortcuts. By investing in basic research we can ensure that the necessary infrastructure is in place so that over time other players and companies can take over and develop applications and new technologies,” says Peter Wallenberg Jr, chairman of the Knut and Alice Wallenberg Foundation.</div> <div> </div> <div> </div> <div> </div> <div>In addition to the focus project the research programme includes a national excellence initiative with the aim of carrying out research and building up expertise in the four sub-areas of quantum technology: quantum computers, quantum simulators, quantum communication and quantum sensors. Chalmers University of Technology is coordinating the first two sub-areas. The expansion of expertise in quantum communication is headed up by <a href="" target="_blank">Professor Gunnar Björk at KTH Royal Institute of Technology</a>, and <a href="" target="_blank">Professor Stefan Kröll at Lund University</a> is coordinating the quantum sensor field.</div> <div> </div> <div> </div> <div> </div> <div>Chalmers researchers have been working on superconducting qubits for almost 20 years and have made many contributions to enhance knowledge in the field, including publications in Nature and Science. They were among the first in the world to create a superconducting qubit, and have explored a completely new area of physics through wide-ranging experiments on individual qubits. </div> <div> </div> <div><img src="/SiteCollectionImages/Institutioner/MC2/News/kaw_kvantgruppen_171101_665x330.jpg" alt="" style="margin:5px" /> </div> <div> </div> <div><em>Göran Wendin, Per Delsing, Göran Johansson and Jonas Bylander are the four researchers at Chalmers University of Technology who, thanks to the donation from the Knut and Alice Wallenberg Foundation, will now bring forward Sweden's first quantum computer. This is happening in the context of the newly established Wallenberg Centre for Quantum Technology. In addition there are two more principal investigators; Gunnar Björk at KTH Royal Institute of Technology will coordinate research in quantum communication, and Stefan Kröll at Lund University will focus on quantum sensing. Photo: Johan Bodell/Chalmers</em></div> <div> </div> <div> </div> <div> </div> <div>“I am pleased that our quantum physics researchers, along with colleagues in the rest of Sweden, will have this opportunity to focus on a specific and important goal in a way that all of Sweden can benefit from the knowledge acquired. I would also like to extend my warmest thanks to the Wallenberg Foundation for its deep commitment and long-term support,” says Stefan Bengtsson, President and CEO of Chalmers. </div> <div> </div> <div> </div> <div> </div> <div>In parallel with this, the Knut and Alice Wallenberg Foundation is investing SEK 1 billion in artificial intelligence, channelled through the Wallenberg Autonomous Systems and Software Program (WASP), which was launched in 2015. </div> <div><br /></div> <div><strong>Details of the investment can be found in the press release from Linköping University &gt;&gt;&gt;</strong><br /></div> <div><a href="">LiU to lead billion-SEK investment in autonomous systems</a><br /> </div> <div> </div> <div> </div> <div> </div> <div> </div> <div><strong>Read more about the link between the two anniversary donations in KAW’s press release &gt;&gt;&gt;</strong><br /><a href="">SEK 1.6 billion on artificial intelligence and quantum technology</a></div> <div> </div> <div> </div> <div> </div> <div> </div> <h5 class="chalmersElement-H5">FACTS</h5> <div> </div> <h5 class="chalmersElement-H5">WALLENBERG CENTRE FOR QUANTUM TECHNOLOGY</h5> <div> </div> <div>- Wallenberg Centre for Quantum Technology is a ten-year SEK 1 billion initiative aimed at bringing Swedish research and industry to the front of the second quantum revolution.</div> <div> </div> <div>- The research programme aims to develop and secure Swedish competence in all areas of quantum technology: quantum computing, quantum simulation, quantum communications and quantum sensing.</div> <div> </div> <div>- The research programme includes a focus project aimed at developing a quantum computer and an excellence programme covering the four areas of quantum technology.</div> <div> </div> <div>- Wallenberg Centre for Quantum Technology is led by, and is largely located at Chalmers University of Technology. The areas of quantum communication and quantum sensors are coordinated by KTH Royal Institute of Technology and Lund University.</div> <div> </div> <div>- The initiative includes a graduate research school, a postdoctoral program, a guest researcher programme and funds for recruiting young researchers. It will ensure Swedish long-term expertise in quantum technology, even after the end of the programme.</div> <div> </div> <div>- Collaboration with several industry partners ensures that the areas of application become relevant to Swedish industry.</div> <div> </div> <div> </div> <div> </div> <div><strong>Read more in the programme fact sheet &gt;&gt;&gt;</strong> </div> <div> </div> <div><a href="/en/news/Documents/programme_description_WCQT_171114_eng.pdf">Wallenberg Centre for Quantum Technology</a> (pdf, 600 kB) </div> <div> </div> <div> </div> <div> </div> <h5 class="chalmersElement-H5">FACTS</h5> <h5 class="chalmersElement-H5"> </h5> <h5 class="chalmersElement-H5">THE SECOND QUANTUM REVOLUTION</h5> <div> </div> <div>In the 20th century, the first quantum revolution took place. It gave us inventions like the laser and transistor – inventions that underlie the entire information technology that forms today's society.</div> <div> </div> <div> </div> <div> </div> <div>After many years of basic research on strange quantum phenomena such as superposition, entanglement and squeezed states, scientists have learned to control individual quantum systems as individual atoms, electrons and photons. The world record currently stands at 20 qubits, but rapid progress is being made each month. Applications such as extremely fast quantum devices, intercept-proof communications and hyper-sensitive measuring methods are in sight.</div> <div> </div> <div> </div> <div> </div> <div>Therefore, heavy investments in quantum technology are being made throughout the world. The EU launches a ten-year venture of one billion euros in 2019. Even larger programmes exist in North America, Asia and Australia. IT companies like Google, IBM, Intel and Microsoft are also making significant investments. Safe and fast communication is a strong driving force for quantum technology. Already today there are commercial systems that can transmit quantum encryption keys through an unbroken optical fibre over 100 kilometres, although at a relatively low speed.</div> <div> </div> <div> </div> <div> </div> <div>An imminent milestone that scientists are struggling to achieve is to demonstrate quantum supremacy, which means solving a problem beyond reach even for the most powerful future classic computer. This requires at least 50 qubits. This will be done by means of a quantum simulator, a simpler form of quantum computer. Useful applications of quantum simulation are expected within five years. Realizing a functioning programmable quantum computer will take significantly longer.</div> <div> </div> <div> </div> <div> </div> <div>Mankind’s knowledge about the world and our technical advances are limited by what we can measure, and how accurately. Researchers are also learning to use individual particles, such as photons and electrons, as sensors in measurements of force, gravity, electrical fields, etc. With quantum technology, the measuring power is pushed far beyond what was previously possible.</div> <div> </div> <div> </div> <div> </div> <div>See and hear the researchers tell their story in a video on Youtube &gt;&gt;&gt;<br /></div> <div><a href="">The Quantum Revolution</a></div> <div> </div> <div> </div> <div> </div> <div> </div> <div><strong>Read more about central quantum phenomena in the fact sheet &gt;&gt;&gt;</strong> </div> <div> </div> <div><a href="/en/news/Documents/quantum_technology_popdescr_171114_eng.pdf">Quantum technology</a> (pdf, 200 kB)  </div> <div> </div> <div> </div> <div> </div> <div> </div> <div><strong>Contacts:</strong></div> <div> </div> <div>Per Delsing, Professor of Quantum Device Physics at Chalmers University of Technology, +46-31-772 3317,</div> <div> </div> <div>Göran Johansson, Professor of Applied Quantum Physics at Chalmers University of Technology, +46-31-772 3237,</div> <div> </div>Wed, 15 Nov 2017 08:30:00 +0100