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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
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driver of primary production, yet anthropogenic discharges from agriculture and aquaculture often lead to eutrophication. This project will develop innovative sensor software capable of quantifying a suite
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calculated using our Software Energy Lab, which has multiple test machines with GPUs and, in the future, AI accelerators. Development teams currently lack guidance on how to create sustainable systems. You
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measuring the environmental impact. This impact can be measured and calculated using our Software Energy Lab, which has multiple test machines with GPUs and, in the future, AI accelerators. Development teams
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activities: Conduct highly innovative research in the intersection of cybersecurity and safety-critical systems, in dependability methods and solutions and in architectures and systems that support the
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networks. In the Future Network Services (FNS) program, leading ICT- and semiconductor companies and research institutions will jointly research specific parts of 6G: software antennas, AI-driven network
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of zero-knowledge and privacy-preserving architectures with 20+ years of digital product development leadership experiences in a range of industries, multiple patents, and previous business experiences. As
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. The challenges lie in exploiting the advantages of cryogenic operation, such as the lower thermal noise, while circumventing device non-idealities by inventing innovative circuit architectures and