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hydrogen leaks, whether chronic or accidental, could act as a brake on our capacity to fully deploy the hydrogen-based technologies on short terms, especially as conventional mitigation measures such as
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behaviours of multi-agent systems in response to changing internal states and external environmental conditions. Both traditional model-based approaches and modern learning-based control techniques will be
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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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. Key research directions may include: Nonlinear control for complex robotic systems Distributed optimization and coordination in multi-agent systems Game-theoretic modelling of cooperative and
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. Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine. In CoRR, abs/2311.16452, 2023. [33] S. Lamsiyah, A. El Mahdaouy. A Reinforcement Learning-based Method
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, especially large language models (LLMs), enable the development of interactive AI agents that can support human learning in complex, safety-critical environments. Human-centered AI in this project means
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of Distributed Mixture-of-Experts (MoE) and Small Language Models (SLMs) to create autonomous, intent-driven networks. This isn't just about connectivity; it’s about building a collaborative, agentic ecosystem
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studentship. Please apply via the King's Apply website (https://apply.kcl.ac.uk ) to the School of Cancer and Pharmaceutical Science (PhD). DO NOT CLICK ON THE APPLY BUTTON BELOW TO SUBMIT AN APPLICATION Follow
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correct, controllable, auditable, and SLA-compliant. The PhD work is grounded in the systems reality of deploying AI agents against real network platforms, where decisions about whether to execute
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verification and Large Language Model (LLM) safety, focusing on extending state-of-the-art logic-based automated reasoning tools such as ESBMC (https://github.com/esbmc/esbmc ) to address safety and reliability