Patrick Rinke’s pioneering expertise in finding sustainable and climate-friendly materials with machine learning methodology has arguably never been more in demand.
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FCAI is bringing artificial intelligence within everyone’s reach. Here are three ways to learn more about AI.
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One million people from 170 different countries have learned the basics of AI through Elements of AI, a free MOOC from FCAI, the University of Helsinki and MinnaLearn.
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A machine learning model developed at VTT can be used to evaluate concentration, measured via smart devices.
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A recent FCAI Industry and Society webinar discussed sustainability, the role of AI, and data in supply chains.
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Synthetic data from large language models can mimic human responses in interviews and questionnaires, raising the risk of fake responses in crowdsourced research data.
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The impact of creative AI is unfolding before our eyes, yet we struggle to understand it. It’s the perfect time to ask researchers what they see and think.
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NVIDIA AI Technology Center (NVAITC) Finland has accelerated research, training and computing power in over a dozen projects where high-performance computing meets AI.
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A model locates nerve canals in the lower jaw quickly and precisely, helping radiologists and dentists save time and effort.
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Experts from FCAI and Aalto University on how AI is impacting healthcare services, reliability and mechanics of automated medicine, and why regulation and validation is vital.
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Finnish AI Region aims to boost AI adoption in SMEs
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Aalto University and VTT scientists have launched a project to create new enzymes with the help of machine learning.
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FCAI Special Interest Group on “Children and AI” launched in March 2023 with a hybrid event.
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A completely new treatment option affects the immune system in patients with advanced melanoma.
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Professor Antti Honkela says data protection and information security are foremost when developing AI systems.
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Aapo Hyvärinen’s new book is called Painful intelligence: What AI can tell us about human suffering.
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Truly helpful AI systems improve designs while keeping humans in the loop.
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A new algorithm developed at FCAI can visualize and cluster large datasets in a way that matches what people prefer.
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FCAI postdoc Ulpu Remes develops ELFI, the open-source software for likelihood-free inference.
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The deadline for the postdoc applications is January 15 and for the doctoral student applications January 29.
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