Spatial AI makes cameras understand and reason about the structure of the surrounding environment in a human-like fashion.
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Fusion energy is no longer a project for the distant future. The current official EU aim is 35 years, and with AI methods, fusion is here even faster than what otherwise would be possible.
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FCAI researchers have recently developed two fast AI methods for grasping objects with multi-finger robotic hands, bringing us closer to the practical use of multi-finger robotic hands.
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The digital assistant EntityBot could help make computer usage easier by making suggestions based on the user’s actual needs, such as recommending relevant information.
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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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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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Yield Systems aims to have a significant sustainable impact on the global food system by creating cost efficient AI capabilities for plant breeding and speeding up the development of crop yields and adaptation to climate change.
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Researchers in Helsinki have developed an artificial intelligence based spectral imaging technology that will make color determination accurate, universally true and accessible to everyone with a smartphone.
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