Publications (6)
Bayesian Model Selection for Network Discrimination and Risk-informed Decision Making in Material Flow Analysis
Jiankan Liao, Xun Huan, Daniel Cooper
Material flow analyses (MFAs) provide insight into supply chain level opportunities for resource efficiency. MFAs can be represented as networks with nodes that represent materials…
TAPESTRY: A Blockchain based Service for Trusted Interaction Online
Yifan Yang, Daniel Cooper, John Collomosse +7
We present a novel blockchain based service for proving the provenance of online digital identity, exposed as an assistive tool to help non-expert users make better decisions about…
Yi-Lightning Technical Report
Alan Wake, Bei Chen, C. X. Lv +41
This technical report presents Yi-Lightning, our latest flagship large language model (LLM). It achieves exceptional performance, ranking 6th overall on Chatbot Arena, with particu…
ARCHANGEL: Tamper-proofing Video Archives using Temporal Content Hashes on the Blockchain
Tu Bui, Daniel Cooper, John Collomosse +8
We present ARCHANGEL; a novel distributed ledger based system for assuring the long-term integrity of digital video archives. First, we describe a novel deep network architecture f…
Intelligent data collection for network discrimination in material flow analysis using Bayesian optimal experimental design
Jiankan Liao, Xun Huan, Daniel Cooper
Material flow analyses (MFAs) are powerful tools for highlighting resource efficiency opportunities in supply chains. MFAs are often represented as directed graphs, with nodes deno…
Expert Elicitation and Data Noise Learning for Material Flow Analysis using Bayesian Inference
Jiayuan Dong, Jiankan Liao, Xun Huan +1
Bayesian inference allows the transparent communication of uncertainty in material flow analyses (MFAs), and a systematic update of uncertainty as new data become available. Howeve…