Antti Vasara

National Science Foundation (NSF) convergence program is super interesting from the European - or Finnish 😊 - point of view! Convergence is an approach to address a real-world problem. Marisa Rinkus from the Michigan State University discussing how teams operationalize convergence at the #ITD24. Cultivating a shared language as a "neutral space" was important for the teams. Methodological integration means e.g. involving each project member at all stages. No separate working packages for different disciplines! (When will we stop this?) Building trust and respect is crucial for succeeding. Regular meetings! Team science competencies and best practices are vital. Values, attitudes and beliefs... #convergence #interdisciplinarity #interdisciplinary

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📢 Exciting news from the United Nations and the Organisation for Economic Co-operation and Development (OECD) at the Summit of the Future! Deputy Secretary-General Ulrik Vestergaard Knudsen and Under-Secretary-General Amandeep Singh Gill have announced a new enhanced collaboration between the UN and the OECD on global AI governance. 🤝 This partnership aims to improve the quality and timeliness of policy responses to AI's opportunities and risks. By combining the technical and analytical capabilities of the OECD with the UN's global reach, the collaboration will support globally coordinated AI governance. Rigorous scientific and evidence-based assessment will be at the heart of this initiative, fostering human-centered, safe, secure, and trustworthy AI. 🔬 The collaboration will focus on regular science and evidence-based AI risk and opportunity assessments, leveraging their networks and ongoing work on AI policy and governance to foster a globally inclusive approach. How do you think this collaboration will impact the future of AI governance? Let's discuss! #AI #UN #OECD #GlobalGovernance #FutureSummit

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Unique action in Nordics: Sustainable Software – A Nordic Market Dialogue event is starting right now. We are having lectures of Green ICT and how it will be affecting public (and hopefully also private) procurement of ICT. In Finland we also have very advanced Green ICT recommendation and good practices portal for (public) procurement: https://greenict.fi/ Does your digital services provider know how much your services consume energy and how much is your digital environments co2 emissions? How does it affect your architecture and software development methods? We can help with these, increase your organizations knowledge and know-how of Green ICT and eventually help you to measure and monitor progress with right KPI's.

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Hybrid CoE's Director for COI Vulnerabilities and Resilience Jukka Savolainen commented the recent damages to the submarine data cables under the Baltic Sea, and the Danish Navy's potential stopping of the Chinese ship suspected of the damage, to Finnish Helsingin Sanomat. "This is good news. It seems that the vessel [Yi Peng 3] is suspected of the cable damages and has been stopped." "Whether this ship caused the damage or not, it is good that the situation has now been addressed. Now this can be clarified." #submarine #CI #criticalinfrastructure #hybridthreats Link to the article [in Finnish] here 👇 https://lnkd.in/dy9jY5Wi

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Ecosystems are using collaborative foresight mostly to create technology roadmaps to support planning. Foresight in ecosystem, however, could go beyond roadmapping to more strategic level of business design. In the blog together with Katri Valkokari we envisage the more strategic use of foresight in ecosystems in three business horizons: adjusting of current business in short-term, triggering systemic changes in markets in mid-term, and shaping the future in long-term. #foresight #ecosystems #collaboration #vttresearch

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Check out my thoughts and predictions on the current AI revolution.

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This is an important and much needed initiative! Finland has so much potential - hope this distinguished group of experts will find the recipe to realise this potential. Great to see Fortum Simon-Erik Ollus being a member of the expert group. #competitiveness #energy #decarbonisation

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𝗦𝘂𝗼𝗺𝗶𝗔𝗿𝗲𝗲𝗻𝗮 𝟮𝟬𝟮𝟰 𝗪𝗿𝗮𝗽-𝗨𝗽: 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝘁𝗼 𝗦𝘂𝗽𝗽𝗼𝗿𝘁 𝗚𝗼𝗼𝗱 𝗖𝗮𝗿𝗲 🎉 We are thrilled to have participated in #SuomiAreena 2024, where we hosted a panel discussion on “Technology to Support Good Care.” The event was a fantastic opportunity to showcase our innovative solutions and engage in meaningful discussions about the future of elderly care. 𝗞𝗲𝘆 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 𝗣𝗮𝗻𝗲𝗹 𝗗𝗶𝘀𝗰𝘂𝘀𝘀𝗶𝗼𝗻: Aki Nummela provided an insightful explanation of our functionality, emphasising the benefits of our technology in nursing home night shifts and home care, particularly in preventing falls. Minna Nissinen’s powerful statement, “Nurses should not do the work of robots,” resonated with many, highlighting the ongoing debate about integrating technology into nurses’ work. 𝗣𝘂𝗿𝗽𝗼𝘀𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗣𝗮𝗻𝗲𝗹: We believe that the technology is now available to significantly enhance elderly care. Our goal was to raise awareness and accelerate the adoption of these technologies to improve care quality and efficiency. 𝗙𝗶𝗻𝗱𝗶𝗻𝗴 𝘁𝗵𝗲 𝗢𝗽𝘁𝗶𝗺𝗮𝗹 𝗕𝗮𝗹𝗮𝗻𝗰𝗲: Our focus is on finding the optimal balance that benefits everyone involved. By leveraging cutting-edge technology, we aim to support nurses and their patients, enhance the offerings of care homes, and provide commercial benefits—all for the greater good of humanity. 𝗣𝗶𝗹𝗼𝘁 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀: Our ongoing pilots are focused on validating the user interface and functionality of our technology. Upon successful completion, inlisol will swiftly move towards full commercialisation, delivering essential technology to the care sector. Our initial goal is to prevent falls, as well as monitoring vitals, and ensure that every measure is taken to enhance and safeguard the well-being of the elderly. 𝗟𝗼𝗼𝗸𝗶𝗻𝗴 𝗔𝗵𝗲𝗮𝗱: We are committed to advancing technology in elderly care and believe that our solutions can make a significant difference. We look forward to continuing these important conversations and collaborations to ensure that technology serves as a valuable tool for caregivers, rather than a replacement of workers. Our journey is just beginning, and our technology roadmap includes many exciting solutions planned for the care sector. 𝗪𝗲 𝗮𝗿𝗲 𝗼𝗻𝗹𝘆 𝗷𝘂𝘀𝘁 𝗴𝗲𝘁𝘁𝗶𝗻𝗴 𝘀𝘁𝗮𝗿𝘁𝗲𝗱! Thank you to everyone who participated and supported us at SuomiAreena 2024. Together, we can create a brighter future for elderly care. Fyi a recording of our panel discussion can be found here: https://lnkd.in/exkJ_qwZ

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As AI continues to reshape industries, one critical area that demands our focus is trust in AI-driven systems. Over the past several years, I’ve had the privilege of working at the intersection of radiology, AI, and human-technology interaction. My work has centered around fostering trust and adoption in decision-supporting AI tools, where accuracy, reliability, and human oversight are crucial.   I’m excited to present at WHINN 2024, where I’ll be discussing this very topic: How we build trust in AI systems by ensuring that stakeholders are involved in the process from the start. It’s not just about technical performance, but about how AI is integrated into Healthcare professionals' workflow and healthcare decision-making processes. My background in techno-anthropology has helped me explore the dynamic relationship between human and machine, where trust, adoption and co-creative inclusion becomes the foundation for ensuring AI enhances rather than complicates medical decision-making.   Looking forward to diving deeper into this conversation at WHINN and sharing insights on how we can drive responsible, human-centered AI adoption in healthcare!   #AIinHealthcare #TrustInAI #HumancenteredAI #AIinPRACTICE #WHINN2024 #Cerebriu

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Clinical Decision Support and Medical AI 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗛𝗲𝗮𝗹𝘁𝗵 𝗮𝗻𝗱 𝗪𝗶𝗿𝗲𝗹𝗲𝘀𝘀 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀, 𝗩𝗼𝗹𝘂𝗺𝗲 𝟮 (2024)   This two-volume set constitutes the refereed proceedings of the First Nordic Conference on , Digital Health and Wireless Solutions, NCDHWS 2024, held in Oulu, Finland, during May 7–8, 2024.   The 58 chapters were carefully reviewed and selected from 100 submissions.   They were organized in topical sections as follows:   Volume 2: ✷ Clinical Decision Support and Medical AI.-   ✷ Digital Care Pathways.-   ✷ Novel Sensors and Bioinformatics.-   ✷ Health Technology Assessment and Impact Evaluation.-   ✷ Wireless Technologies and Medical Devices.   Volume 1, which will be shared tomorrow, covers: ✷ Remote Care and Health Connectivity Architectures in 6G Era.-   ✷ User Experience and Citizen Data.-   ✷ Digitalization in Health Education.-   ✷ Digital Health Innovations.-   ✷ Digital Care Pathways.   #ai #ml #medical #technology #sensors #iot #iiot   𝗗𝘂𝗲 𝘁𝗼 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻 𝗱𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝘀𝗶𝘇𝗲 𝗹𝗶𝗺𝗶𝘁𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝟯𝟬𝟬 𝗽𝗮𝗴𝗲𝘀 𝘁𝗵𝗲 𝗹𝗶𝗻𝗸 𝘁𝗼 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝟱𝟲𝟰-𝗽𝗮𝗴𝗲 𝗯𝗼𝗼𝗸 𝗶𝘀 𝗶𝗻𝗰𝗹𝘂𝗱𝗲𝗱 𝗶𝗻 𝘁𝗵𝗲 𝗰𝗼𝗺𝗺𝗲𝗻𝘁𝘀 Credits: Editors: Mariella Särestöniemi, Pantea Keikhosrokiani, Dr. Daljeet Singh, Erkki Harjula, Aleksei Tiulpin, Miia Jansson, Minna Isomursu, Mark van Gils, Simo Saarakkala, Jarmo Reponen University of Oulu   This book is licensed under the terms of the Creative Commons Attribution 4.0 International License (https://lnkd.in/dq-ukFn6), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. ------ ➡ 𝗙𝗼𝗹𝗹𝗼𝘄 | David De Sousa for content like this one 💬 𝗖𝗼𝗺𝗺𝗲𝗻𝘁 | Share Your insights, Your opinion matters 🔄 𝗥𝗲𝗽𝗼𝘀𝘁 | Help others benefit from this Content 🛎️ 𝗡𝗼𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 | Activate to Catch all New Posts ------

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Swedish real estate companies join forces to form a new common co-operation model to achieve 5G indoor coverage in their buildings! They will also publish a common requirements specification on capacity and user experience in their buildings! #neutralhost #5G #indoorcoverage Proptivity

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🔔 Today is the last chance to register for the Deep Tech CEE Summit & Challenge 2024 at a special 20% discount, available only to members and connections (if you read this, you are a connection) of the Swedish-Polish Chamber of Commerce! ❗ Just use the following discount code: SVENSK_20. 🚀 Discover New Business Opportunities 📅 Date: October 28-30, 2024 📍 Location: Warsaw, Poland 👉 Register and explore more information: deeptechsummit.eu In today’s fast-paced business environment, access to breakthrough technologies is your competitive advantage. Explore over 75 carefully selected deep tech companies and technologies from over 15 CEE countries that are shaping the future of industries such as manufacturing, energy, healthcare, and beyond. 🔹 Drive the growth of your business with cutting-edge solutions 🔹 Gain a competitive edge with top-tier deep tech from the region 🔹 Find strategic technologies and business partners for your organization 🔹 Get inspired! Meet founders, learn about their visions, and invest in future technologies! Don’t miss the opportunity to build new partnerships and see how deep tech can accelerate your business growth! 💡 #DeepTechCEESummit #BusinessGrowth #Innovation #TechForBusiness #Networking #FutureTechnologies #BusinessPartnerships #DeepTech

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Today Mälardalen University and Trusted Smart System et al houses the workshop on Safety Critical Systems and AI. Speakers are professor Simon Burton, University of York, Masoud Daneshtalab, Mälardalen University, Mikaela Näslund Westermo Network Technologies, Kai Rannenberg Goethe-Universität Frankfurt a. Main @shahid Raza Mälardalen University and myself. As a social scientist, my task is to focus on how AI transforms society and humans. Quite a task :-)

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Meeting the ecosystem challenge in getting new ideas implemented Wim Vanhaverbeke shared his ideas and insights on digital strategy and ecosystems today in our Research Frontiers seminar at Aalto TUTA - Aalto University, Department of Industrial Engineering and Management. He highlighted the challenges in getting new ideas, technologies and innovations implemented in a setting with multiple stakeholders that need to be realigned for the new value proposition to materialize. When thinking of ecosystems, the ones that easily come to mind are the likes of Apple or Amazon. As Wim says, they are in B2C and thus quite simple. B2B is more complicated, and adoption is typically not simply based on trying out a product or service. He also stressed the central role of data and the data layer. One key question (also hindering adoption) is who owns the data that are generated in providing a service. And given the additional complexity, one firm getting all actors aligned might not work. Wim argued that there are other ways, e.g. farmer's collectives in getting precision farming adopted. One question here is what's the role of the state and regulators in creating alignment and thus facilitating ecosystem emergence. The key word in all of this is of course "alignment", building on Ron Adner's definition of an ecosystem as "alignment structure of the multilateral set of partners that need to interact in order for a focal value proposition to materialize". Alignment has to do with compatibility of activities and capabilities but also incentives, as well as other issues. Wim suggested to read the work by Ron, in particular his two books "The wide lens" (which is about innovation in an ecosystem context) and "Winning the right game" (which is about strategy and competitive dynamics in an ecosystem context). I can highly recommend these books. I've also supervised several master's theses in the past years on ecosystem-related challenges companies are facing (e.g., Tapio Parkkonen in the textile industry, Juho Valkola in the construction industry, and Teemu Salminen in the shipping fuel industry). Ron's ideas have turned out to be extremely useful. We also have quite a few people working on these and similar topics related to ecosystems and platforms at our department. And of course I need to use this opportunity to also promote my own recent work on ecosystem leadership (see links in the comments) and how leadership can create and maintain alignment. #aaltotuta #ecosystems #ecosystemleadership #alignment

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I have done the application to apply for this following training and continue "GenAI Aided eHealth Development for Business Differentiation & No-Code Exploration", which was partially testified a few days ago in Design Thinking Hackathon at Oulu: The Training of OYSTER Incubator (https://lnkd.in/dP-nAsu4) If able accepted there, the actual time of it will be 2H2024. No-Code Exploration has a bigger uncertainty according to these studies with 52% as FTR (First Time Right) rate and AI-assisted complexity shown as follows: 1. STUDY FINDS THAT 52 PERCENT OF CHATGPT ANSWERS TO PROGRAMMING QUESTIONS ARE WRONG https://lnkd.in/dW64VURv 2. AI-assisted software development vs. the traditional way https://lnkd.in/dzhVnckB If the difference of human involvement levels is essential, there are 3 options in my OYSTER application for eHealth Development - determined in 2H2024 even though they are all still somehow demanding now. However, Business Differentiation as another part could be easier to re-use these abilities already tried in Oulun Design Hackathon: LLMs Are More Than Generative AI https://lnkd.in/d7Udv24u LLMs can do a lot more than just generation of text content such as: 1) Creation / Generation 2) Summarization 3) Translation 4) Interpretation / Extraction Also far beyond all of them, I had testified / learned the key issues how to reduce / avoid GenAI hallucinations along with multiple GenAIs' comparison of FTR (First Time Right) rates, how to keep / develop human creativity, and how to detail / ensure its differentiation helping business innovation as my goal. Are those principles useful to No-Code Exploration as well? At least, they are also applicable if to study the data-facts such as my Polar Flow records as a picture attached with this LinkedIn post - with multiple GenAIs as these FTR (First Time Right) Scores: 80/100 – MS Copilot & Kimi AI 55/100 – ChatGPT & Gemin AI Claude AI & Perplexity AI – not relevant: Claude AI Answer – failed as too general to have no details of this special case into the essay. Perplexity AI Answer – not possible to try due to the attachment as a paid service. Here is a GenAI example of the FTR Score as 80/100 (80% ? / if also interesting to what as 20% missed here?): Common Question to GenAI Options: As learning and applying Flow State, based on HRV for own domain creativity and productivity, it is important to keep a daily habit of studying Polar Flow records of HRV curves in the night and also expanding into earlier hours of rest time as much as virtual sleep - to learn much more insights! Here is an attached picture of such a case study with human wisdom quotes in it to help the learning of HRV changes and please write an essay with an attractive title as the outcome from this process. A better GenAI Answer (FTR score as 80/100): Unlocking the Secrets of Heart Rate Variability: A Journey to Enhanced Creativity and Productivity CONTINUE IN COMMENT #learningisfun #GenAI #HRV #GenAIcomparison

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How fast do you want to charge your EV battery, and how fast can you charge it? Here are my thoughts about fast charging, available in both English (https://lnkd.in/d2bQub_S) and Swedish (https://lnkd.in/dTKZnscC).

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Is this the answer from Europe to OpenAI? I am not an expert in this field, just a curious visitor. The challenge that I always had in using models like llama or other transformer based models is that they fake deep understanding with statistical propabilieties. Especially forgetting seems to be hard in these models. A memory approach seems to be closer to the quite old ideas of neural networks, to reinforce learning and forgetting. My main question is, and I am curious to test it as soon as models become available, if those models allow a deeper underunderstanding of logical structures based on “understanding” and not statistics. Perhaps it’s an issue of my background in philosophy, but I always aim to a deeper level of understanding of the core concepts behind a question. In my last job I tried to deconstruct household appliances in the environment of a metaverse. So I had to understand what cleaning means in a place where nothing gets dirty. I am trying apply the same concept to deconstruct AI models and came to the conclusion that current LLMs are more a kind of really well trained parrots. So I am really curious about this iteration. And I am still blown away by this amazing time we live in. #AI #LLM #XLSTM

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Earnings management in local government healthcare reporting: Financial distress vs. peer influence? https://lnkd.in/dYfBzQFN Jaana Kettunen, @Pasi Leppänen, Hannu Ojala, @Jani Saastamoinen Abstract This paper examines if financial distress and/or peer influence predict local governments’ earnings management in the context of municipal healthcare expense reporting in Finland. Our statistical analyses use data hand-collected from all Finnish municipalities between 2016 and 2021. We document peer influence on earnings management by understating healthcare expenses in the public sector: Our results show that a municipality’s decision to manage earnings upwards is positively associated with the healthcare district’s central municipality's choice to understate its expenses. However, we do not find support for financial distress predicting earnings management. In our setting, peer influence appears to be a stronger motivation for financial reporting choice than municipality-specific characteristics.

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WHAT IT TAKES TO MASTER THE TWIN TRANSITION: TRANSITION TO AI AND TRANSITION TO NET ZERO. NZIH would like to thank Dr. Henrik Madsen, Professor, DTU - Technical University of Denmark and Dr. Jon Summers Scientific Lead, RISE Research Institutes of Sweden for their constructive feedback, which greatly improved the quality of this paper.   This article tackles topics and questions that dominate nearly every publication of and around the data center industry. It decomposes the growth of energy demand and GHG emissions of data centers applying the Kaya Identity approach. Here below is a short summary, the paper can be downloaded here: https://lnkd.in/eDYJkqrW 🌍 Will the world run out of power because of AI? No. On a global level, despite its explosive growth, AI power demand is an order of magnitude smaller compared with the power required for electrification of other industrial sectors. … 🌎 Will infrastructure efficiency "fix" the energy demand like in the past decade? No. This component of efficiency alone will not be sufficient this time. AI represents a different category of digital applications. … 🌏 The twin transition requires the deployment at scale of all available zero-carbon power generation technologies, specifically of controllable power sources and storage in addition to solar and wind: geothermal, clean fuels, carbon capture, nuclear. ... 🌍 The Twin Transition to AI and to Net Zero can be achieved if the scale and pace of innovation matches the scale and pace of the industry growth. This requires a new collaborative innovation model for the industry, which we are building at the Net Zero Innovation Hub for Data Centers.

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