Modern data centres serve as a backbone for executing diverse user workloads. The growing demand for their resources has led to high volumes of traffic, requiring clusters to operate at high utilization.
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01May
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01May
=== Hybrid talk ===
Join Zoom Meeting https://cam-ac-uk.zoom.us/j/87143365195?pwd=SELTNkOcfVrIE1IppYCsbooOVqenzI.1
Meeting ID: 871 4336 5195
Passcode: 541180
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02May
Abstract not available
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06May
Abstract not available
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07May
Abstract to be confirmed
Link to join virtually: https://cam-ac-uk.zoom.us/j/87421957265
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08May
*Title*
Machine Learning for Building-Level Heat Risk Mapping
*Abstract*
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08May
=== Hybrid talk ===
Join Zoom Meeting https://cam-ac-uk.zoom.us/j/87143365195?pwd=SELTNkOcfVrIE1IppYCsbooOVqenzI.1
Meeting ID: 871 4336 5195
Passcode: 541180
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09May
Understanding and mitigating hallucinations in Large Language Models (LLMs) is crucial for ensuring reliable content generation. While previous research has primarily focused on “when” LLMs hallucinate, our work explains “why” and directly links model behaviour to the pre-training data that forms their prior knowledge.
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09May
A colouring of a graph with $k$ colours is an assignment of colours to vertices so that no edge is monochromatic. As it is well-known colouring with 2 colours is in P while colouring with $k > 2$ colours is NP-complete.
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14May
Abstract to be confirmed
Link to join virtually: https://cam-ac-uk.zoom.us/j/87421957265
