Klimatutmaningen ställer mycket stora krav på samhället. I takt med att klimatförändringarnas effekter blir allt tydligare genom bland annat omfattande skogsbränder, smältande havsisar, och extremoväder, så får klimatfrågan också allt större uppmärksamhet i det offentliga samtalet, hos beslutsfattare, och inom näringsliv och civilsamhälle. Teknikutvecklingen har alltid varit viktig i diskussionen om klimatfrågans orsaker och lösningar, liksom för forskning om hållbar utveckling i stort. I takt med att artificiell intelligens (AI) sett en språngvis utveckling och dess tillämpningar tycks öka på flera samhällsområden, så ökar också intresset för hur AI kan bidra till att tackla klimatutmaningen i alla dess dimensioner - från grundläggande klimatforskning, till klimatanpassning och klimatinnovation. Följande rapport, AI i klimatets tjänst, ger en överblick av potentialen hos AI för klimatutmaningen. Rapporten presenterar också en kartläggning av potentialen för Sverige att bli internationellt ledande inom detta område. Analysen bygger på en litteraturöversikt, intervjuer, en enkätundersökning och en systematisk genomgång av klimatrelaterad AI-forskning i Sverige och utomlands. Resultaten är på intet sätt slutgiltiga, utan ger en överblicksbild av ett snabbt växande område. Vi hoppas att rapporten ska kunna fungera som ett första diskussionsunderlag för de myndigheter, företag, forskare och andra som är intresserade av att vidareutveckla potentialen hos AI-tekniker och deras användning för klimatutmaningen.

The PROMPT project has resulted in a great number of second cycle courses for professionals in software engineering and development. It has also led to an accumulation of learning experiences regarding the offering of such courses online. This report summarizes the learnings that project partner RISE has made and its contributions towards the common project goal of establishing a catalog of continuous-education courses for Swedish software industry. We report on how courses should be designed and conducted. The experience is that a clear structure and set of goals is needed, with teaching that activates the participants and supports retention. Professional training may require different formats for given contents to suit both part-time students as well as those who quickly want to learn full-time. Online education requires good system support and we summarize the experiences from Scalable Learning, a tool provided by RISE, which can inform other system providers of useful functionality. We end with a look at design exercises for the future of technical universities.

With the proliferation of multicore processors, there is an urgent need for tools and methodologies supporting parallelization of existing applications. In this paper, we present a novel tool for aiding programmers in parallelizing programs. The tool, Embla, is based on the Valgrind framework, and allows the user to discover the data dependences in a sequential program, thereby exposing opportunities for parallelization. Embla performs an off-line dynamic analysis, and records dependences as they arise during program execution. It reports an optimistic view of parallelizable sequences, and ignores dependences that do not arise during execution. Moreover, since the tool instruments the machine code of the program, it is largely language independent. Since Embla finds the dependencies that occur for particular executions, the confidence one would assign to its results depend on whether different executions yield different (bad) or largely the same (good) dependencies. We present a preliminary investigation into this issue using 84 different inputs to the SPEC CPU 2006 benchmark 403.gcc. The results indicate that there is a strong correlation between coverage and finding dependencies; executing the entire program is likely to reveal all dependencies.

We report on a first study of interactive visual analysis of networked systems. Working with ABB Corporate Research and Ericsson Research, we have created workflows which demonstrate the potential of visualization in the domains of industrial automation and telecommunications. By a workflow in this context, we mean a sequence of visualizations and the actions for generating them. Visualizations can be any images that represent properties of the data sets analyzed, and actions typically either change the selection of data visualized or change the visualization by choice of technique or change of parameters.

Libra is a two-level market which assigns fractional shares of time to the transmitting nodes in local regions of a multi-hop network. In Libra, users are assigned budgets by management and users assign funding to services within their budget limits. The purpose is to prioritize users and also optimize network utilization by preventing source nodes from injecting too much traffic into the network and thereby causing downstream packet loss. All transmitting nodes sell capacity in the region surrounding them, and buy capacity from their neighbors in order to be able to transmit. Streams buy capacity from each of the nodes on their paths, thus streams that cross the same region compete directly for the bandwidth in that region. Prices are adjusted incrementally on both levels.

TAC SCM is a supply chain management game for the Trading Agent Competition (TAC). The purpose of TAC is to spur high quality research into realistic trading agent problems. We discuss TAC and TAC SCM: game and competition design, scientific impact, and lessons learnt.

The Supply Chain Management Game for the 2005 Trading Agent Competition held during IJCAI 2005, in Edinburgh, Scotland. The supplier model has been substantially revised to overcome the "Day Zero" strategic singularity in TAC SCM 2003 and 2004.

This report is the specification for the Trading Agent Competition Supply Chain Management Game - TAC SCM-04, to be held between July 20-22, 2004, in New York in conjunction with AAMAS-04. Based on the experience of the 2003 Trading Agent Competition a few enhancements have been added to the original game: (1)The price function has been modified to better reflect demand; (2) storage costs have been introduced; and (3) customer demand has been segmented into multiple markets.