Edge AI Agent Workshop

The Bayes Centre offers a new kind of collaborative, multidisciplinary proving ground where we develop innovative technological solutions for the benefit of society.

Bayes Centre

Edge AI in action: efficient LLMs, fast inference, and cooperative agents, insights from leading researchers.

The Bayes Theorem & Atrium

This workshop brings together leading researchers to discuss recent advances in edge AI agents, with a focus on efficient deployment, system design, and multi-agent intelligence.As AI systems increasingly move from cloud to edge environments, new challenges arise around computation, memory, latency, and coordination. This session will explore how large language models (LLMs) and AI agents can be designed to operate efficiently under real-world constraints while maintaining strong reasoning capabilities.

The workshop will feature three talks:<ul><li>Yali Du (King’s College London) – Towards Cooperative AI Agents with Reinforcement Learning and LLMs Exploring how agents can coordinate effectively with humans and other agents, addressing challenges in alignment, adaptability, and cooperation.</li><li>Luo Mai (University of Edinburgh) – ContextPilot: Fast Long-Context Inference via Context Reuse Introducing a system that accelerates long-context inference by reusing overlapping context, significantly reducing latency while preserving reasoning quality.</li><li>Cheng Deng (University of Edinburgh) – Efficient LLM on the Edge Presenting hardware–software co-design strategies and scaling laws for deploying LLMs efficiently on resource-constrained devices.</li></ul>

The session will conclude with a joint Q&amp;A discussion. This event is ideal for researchers, engineers, and students interested in edge AI, LLM systems, and next-generation intelligent agents.

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Edge AI Agent Workshop

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Edge AI Agent Workshop

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