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matter’ of biology, under-studied owing to the historical lack of preparative and analytical tools to probe the local molecular composition and transient interactions of molecules within glycocalyces, and
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and analytical tools to probe the local molecular composition and transient interactions of molecules within glycocalyces, and missing physics rules to interpret experimental observations
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LLM Agents: Foundations, Attacks, and Defenses”. Your work assignments Large language model (LLM) agents represent the next generation of artificial intelligence (AI) sys- tems, integrating LLMs with
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(e.g., model compression/simplification and hardware-aware optimization). We are also interested in how resource-efficiency interacts with broader sustainability aspects of machine learning such as
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networks, or animal observations in ecological studies. These data are commonly analysed using spatial or spatio-temporal point processes, which describe how events occur and interact. In many applications
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the ‘lone inventor’, modern economic science recognizes that innovation is a deeply social process embedded in human interaction. By tracing over 15,000 engineers and linking them to more than 100,000 patent
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inference and deployment costs (e.g., model compression/simplification and hardware-aware optimization). We are also interested in how resource-efficiency interacts with broader sustainability aspects
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networks, or animal observations in ecological studies. These data are commonly analysed using spatial or spatio-temporal point processes, which describe how events occur and interact. In many applications
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artificial intelligence (AI) sys- tems, integrating LLMs with external tools and memory components to execute complex reasoning and decision-making tasks. These agents are increasingly deployed in domains
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build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence , RAI, subject at the department of Computer Science and Electrical and Space Engineering at Luleå