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INFORMATION AND COMMUNICATION TECHNOLOGY Area of Advance | Welcome back!It's time to go back to work again after the summer holidays. Hopefully the time off has re-energised us all to look forward to the autumn. As usual, there is a lot going on. Already in August, you are welcome to visit Chalmers at Frihamnsdagarna in Gothenburg. In addition to visit our stand, you are welcome to a couple of exciting talks on AI, arranged by Chalmers. And this week the new students arrived to campus in a festive atmosphere. You will find this and much more in this newsletter. Best regards,
The ICT team News | Events | Calls | Vacancies | The new students have arrivedOn 20 August, around 3000 new students were welcomed to Chalmers when the reception and introduction weeks started. Click the button to se some photos from the event. International Masters and Exchange students are welcomed on Orientation Day 27 August.
| | | | | Almedalen: Teknikens
roll i samhälletSe en video om Chalmers medverkan i Almedalen, där deltagarna reflekterar över diskussionerna. | | | Almedalen: Technology's
role in societyWatch a video from Chalmers participation in Almedalen, where the panel reflects on the discussions. | | | | |
Successful launch of the new weather satellite
| The new Arctic Weather Satellite (AWS) will collect important data on moisture and temperature levels in the Earth's atmosphere on weather and climate to give us a much better understanding of conditions at the poles. Another important task will be to measure the amount of ice inside clouds. - The AWS is equipped with a new type of instrument, an advanced microwave radiometer, which can measure ice formation deep inside clouds. This is a new type of observational data compared to existing weather satellites,’ says Patrick Eriksson, Professor of global environmental measurements at Chalmers. | | | | |
CSE colloquium: Recipes to Make Sustainable Machine Learning
Speaker: Carla Fabiana Chiasserini, Full Professor at Politecnico di Torino, Italien
Time: Aug 26 at 12.00-13:00
Venue: EA, EDIT-building
The training and execution of Machine Learning (ML) models pose relevant challenges, as they often require substantial computational and energy resources. To mitigate the ML footprint on the computational resources of single network nodes, new distributed ML paradigms have emerged, as they can distribute the computational load across different network nodes, besides providing better privacy preservation. However, despite such advantages, distributed ML too may face significant hurdles, namely, (i) slower execution of the ML training or inference, and (ii) high bandwidth consumption on the links connecting the participating network nodes whenever the output of intermediate processing has to be transferred from one node contributing to the ML pipeline to another. In this talk, we discuss such issues and how they can be solved by leveraging dynamic neural networks.
| In Swedish: Chalmers på Frihamnsdagarna
| AI i klassrummet: hur rustar vi för framtiden?Skolelever och studenter använder alltmer generativ AI, till exempel för att skriva texter, lösa matematikproblem och för att koda. Rätt använda kan system som ChatGpt, Gemini, GitHub och Copilot hjälpa eleverna att lära sig mer och gå på djupet i sitt kunskapssökande. Men de nya teknikerna innebär även risker som försämrat lärande och fusk, liksom säkerhetsrisker när information delas med företagen bakom verktygen. Karl de Fine Licht är doktor i praktisk filosofi och docent i teknik och etik. Han är ordförande för Chairs etikkommitté, och
koordinerar en rad av de initiativ som gäller AI och den högre utbildningen på Chalmers.
Plats: Tältscen Ingrid, Bananpiren, Göteborg Obs! Väskförbud gäller.
| | | | | Hur skapar vi AI-system som stärker demokratin?
AI kan användas för att skapa fejkade nyheter, men också för motvikten: att upprätthålla och stärka trovärdiga källor i samhället. Genom att kombinera ”modern” och ”traditionell” AI skulle vi kunna bygga system som ger helt nya möjligheter, för vem som helst, att hitta validerad information som idag ligger begravd under enorma datamängder.
Medverkande: - Moa Johansson, docent, datavetenskap och AI, Chalmers.
- Staffan Truvé, teknikchef och medgrundare, Recorded Future.
- Anders Sundell, docent, statsvetenskap, Göteborgs universitet
- Moderator: Fredrik Johansson, docent, datavetenskap och AI, samt forskningsrådgivare på Chair.
Plats: Tältscen Ebbe, Bananpiren, Göteborg
Obs! Väskförbud gäller.
| | | | | | | AI Ethics with James Miller:
Adam Smith meets AI Doomers
This talk examines the paradox of free markets, which have driven prosperity yet now accelerate our approach toward potentially catastrophic artificial superintelligence. I argue that even staunch free-market advocates shouldn't trust markets to handle the development of superintelligence, and even with government regulation, we are unlikely to achieve a good outcome. James Miller is a Professor of Economics at Smith College. He holds a PhD from the University of Chicago and a J.D. from Stanford University.
Location: Zoom, register to receive the link. | | | | |
Conference:
The Disruptive Role of Data and AI in the Life Sciences
A Joint Conference between DDLS, WASP and WASP-HS.
The conference will focus on different aspects of research where
collaboration over scientific domains is essential and will explore the
following topics:
- How data- and AI-driven research is shaping the future of life science.
- Development of new approaches to human-in-the-loop technologies and their use.
- The need for studies at the intersection of society, AI, and data driven life sciences.
Location: Conference Centre Wallenberg, Medicinaregatan 20A, Gothenburg.
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National Emergency Medicine Conference 2024 (NKMK)
Welcome to the annual conference that brings together representatives and actors from different aspects of disaster medicine. This year it will be held at the Wallenberg Conference Centre in Gothenburg and is organised by the Centre for Disaster Medicine. The University of Gothenburg, Chalmers, the University of Borås, the Armed Forces and the Västra Götaland region are represented among the centre's members. 31 August | Deadline for abstract submission
10 September | Last day to register | | | OCTOBER Wallenberg conference centre | | | | |
Structured Learning 2024 WorkshopWelcome to the 2024 workshop
hosted by the CHAIR theme Structured learning, which is held for the second year.
This is a 3 days lunch-to-lunch event with international and local speakers. We broadly cover topics related to Structured Learning, targeting specifically the following questions: - How can we encode structure (e.g., scientific domain knowledge) into learning systems?
- How does domain knowledge affect uncertainty quantification and out-of-distribution predictions?
- Can these insights enable us to solve problems in a data and computationally-efficient manner? We will have a particular focus on inverse and surrogate modeling.
- How can these strategies help scientific discovery?
Location: A Working Lab, Chalmers Campus Johanneberg
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| | | | Ansökan till Renovas miljöstipendium 2024 stänger snart
Renova donerar årligen 100 000 kronor till ett forskningsstipendium för doktorander och unga forskare vid Chalmers, inom alla vetenskapsområden. Forskningen ska bedrivas inom miljöområdet och ha anknytning till Renovas verksamhet. Stipendiet koordineras av Wexsus, och deadline för ansökan är 23:e augusti.
| | | Deadline for application for Renova
Environmental Scholarship is on Friday
Renova donates a yearly scholarship worth SEK 100,000 to PhD students and young researchers* at Chalmers who are working in environmental research relevant to Renova's operations. Since 2024 the scholarship is coordinated by Wexsus. The deadline is 23 August.
| | | | | Call for
Applications: DAAD Postdoctoral Networking Tour in Artificial Intelligence
The DAAD (German Academic
Exchange Service) AInet Fellowship is awarded twice a year to a group of
outstanding international early career researchers in the field of artificial
intelligence. Awardees will be invited to join the Postdoctoral Networking
Tour in Artificial Intelligence (Postdoc-NeT-AI), a two-step networking
program that offers participants the opportunity to interact face-to-face with
leading researchers in Germany, with the aim of initiating collaborations, and
creating new research and career opportunities. Additionally, awardees are
included in the DAAD AInet Fellows & Alumni Network, offering
long-term access to German AI research, and bringing together bright
researchers from all around the world.
Closes September 16 2024 | | |
Vinnova Fundings: Vinnova has
presented a gathered list of all their current offered fundings. Here we suggest some of
them: | | | Call for proposals: Collaborative project for civil-military synergies
This call for proposals is a joint effort by Vinnova and the Swedish Armed Forces. We are now looking for consortia that can contribute to the development of innovative and ground-breaking technology solutions. The overall aim is to strengthen cooperation between the civilian sector and the defense sector to contribute to dealing with defence-related problems and at the same time strengthen Sweden´s competitiveness. The call for proposals is aimed at consortia consisting of at least two actors where companies, universities, university colleges, research institutes and other relevant actors may be included. At least one business actor must be active in the defense sector in Sweden, and at least one actor must be active in the civilian sector. All participating parties can be companies. The goal of the call for proposals is to finance project with potential to contribute to innovation in the military area and at the same time strengthen Swedish competitiveness.
Closes on 17 September 2024 | | |
Research initiation grants for data-driven life sciences and society
The SciLifeLab & Wallenberg National Program for Data-Driven Life Science (DDLS) and the Wallenberg AI, Autonomous Systems and Software Program – Humanities and Society (WASP-HS) announce a joint call. This call aims to provide funding for research investigating the human and social challenges of data-driven strategies developed and applied within the life sciences. Budget framework for the call is 8 MSEK. Funded budgets are expected to typically be between 2 to 4 MSEK per project. Projects are expected to last either 12 or 24 months. Deadline for applications: November 4, 2024 at 15:00
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