The European Union is preparing a legislative proposal to regulate high-risk AI systems. If poorly implemented, the regulations could have an unnecessarily negative impact on economic growth in Europe.
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Finnish Center for Artificial Intelligence FCAI fears Finland is left behind in development of new technologies as investments lag behind other countries.
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FCAI researchers have figured out very accurately, how much privacy will the data subjects retain, when their data are used to train a privacy-preserving machine learning model such as a neural network.
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The ethics of artificial intelligence are relevant to all of us, often in ways we do not realise, and learning the basics now is a good idea. The new Ethics of AI online course is an easy way to get started.
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“How to harness the power of deep learning?” This question was discussed in the “Deploying deep learning-based models in projects and real-world cases – challenges and solutions” webinar organized by FCAI on March 11, 2021.
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Researchers have succeeded in making an AI understand our subjective notions of what makes faces attractive. The device demonstrated this knowledge by its ability to create new portraits on its own that were tailored to be found personally attractive to individuals.
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Finnish AI Region (FAIR) has been selected by the Finnish Ministry of Employment and Economy as one candidate for a European Digital Innovation Hub. The hubs will launch their activities in the second half of 2021.
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Big data analytics, machine learning and AI have created unprecedented possibilities for using data in a way that benefits us all – but there are also many possibilities for doing harm.
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Researchers at FCAI have developed models for transforming speech to text by automatic speech recognition.
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As an undergraduate, current Aalto PhD student Tuomas Kynkäänniemi calibrated the sensors of a Mars rover for the Finnish Meteorological Institute (FMI). Now, his research is worlds away.
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Heli Julkunen developed a machine learning method that predicts how different drug combinations kill cancer cells, and now she helps advance preventive healthcare as a data scientist.
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AI-Mind is a 5-year project funded by Horizon 2020, with the goal of facilitating a paradigm shift in clinical practice of mild cognitive impairment. A team of Aalto University and HUS Helsinki University Hospital researchers are involved in the project.
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New professor of practice wants to apply his AI expertise and make sure usable innovations are brought from research papers into practical use.
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The magazine pays tribute to the development of a model that starkly reduces the amount of data needed for generating new, artificial images.
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An international collaboration project to develop and implement novel genome-based disease prediction tools has received over 10 million euros from the EU Horizon 2020 Research and Innovation program.
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Questions regarding the ethics of artificial intelligence provoked a lively discussion in Finland’s largest science event Science Forum.
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Researchers at FCAI have developed a machine learning-based method that can produce research data synthetically. The application is based on a method that allows academics and companies to share data with each other without compromising the privacy of the individuals involved in the study.
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Researchers from the University of Helsinki are developing a positioning system based on machine learning and an increasingly accurate and inexpensive navigation solution.
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Milica Todorović uses computational methods for materials science, training AI on her field's vast databases to speed up the search for tomorrow's functional materials.
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FCAI's activities have been evaluated by the Scientific Advisory Board (SAB) that consisted of eight internationally prominent professors. The board concluded that the overall output during FCAI’s first two operating years has been impressive and provided valuable guidance for the future.
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