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- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); yesterday published
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trustworthiness and reliability are critical. In this project, you will explore neuro-symbolic methods that integrate LLMs (or Generative AI more broadly) with Symbolic AI techniques. In this hybrid approach
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-efficient artificial intelligence (AI) applications. However, this new computing paradigm faces various design challenges in terms of design and technology challenges, application mapping and reliability
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in terms of design and technology challenges, application mapping and reliability issues. Thus, there is a growing demand for efficient and reliable digital CIM-based neuromorphic system design which
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Advancing hydrogen aviation: optimize compressor design of the air supply system to boost fuel cell poweetrain efficiency and reliability. Job description To reduce greenhouse gas emissions in
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energy generation, high-tech systems, electric vehicles, industrial automation and more. At EPE Group, we are building a strong research line on the reliability and resilience of power electronics systems
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. However, these new technologies and computing paradigms face various design challenges in terms of design and technology challenges, application mapping and reliability and non-ideality issues. Thus
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, application mapping and reliability and non-ideality issues. Thus, there is a growing demand for efficient and reliable memristor CIM-based neuromorphic system design which includes techniques such as
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they do not eliminate them entirely. This poses a challenge in applications where trustworthiness and reliability are critical. In this project, you will explore neuro-symbolic methods that integrate LLMs
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the performance and durability of the new SCMs, ensuring their reliability for construction applications. The postdoc researcher will join the Building Materials Group which contains 25 PhDs, 3 postdocs, 2
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to measurements and benchmarking services for external partners. This includes performing characterization of sensor devices developed by collaborators, supporting QSTeM’s mission as a reliable and high-performance