5 papers
Knowledge- and Data-driven Services for Energy Systems using Graph Neural Networks
Francesco Fusco, Bradley Eck, Robert Gormally +2
The transition away from carbon-based energy sources poses several challenges for the operation of electricity distribution systems. Increasing shares of distributed energy resourc…
Perfusion Quantification from Endoscopic Videos: Learning to Read Tumor Signatures
Sergiy Zhuk, Jonathan P. Epperlein, Rahul Nair +4
Intra-operative identification of malignant versus benign or healthy tissue is a major challenge in fluorescence guided cancer surgery. We propose a perfusion quantification method…
Scalable Deployment of AI Time-series Models for IoT
Bradley Eck, Francesco Fusco, Robert Gormally +2
IBM Research Castor, a cloud-native system for managing and deploying large numbers of AI time-series models in IoT applications, is described. Modelling code templates, in Python…
AI Modelling and Time-series Forecasting Systems for Trading Energy Flexibility in Distribution Grids
Bradley Eck, Francesco Fusco, Robert Gormally +2
We demonstrate progress on the deployment of two sets of technologies to support distribution grid operators integrating high shares of renewable energy sources, based on a market…
Castor: Contextual IoT Time Series Data and Model Management at Scale
Bei Chen, Bradley Eck, Francesco Fusco +4
We demonstrate Castor, a cloud-based system for contextual IoT time series data and model management at scale. Castor is designed to assist Data Scientists in (a) exploring and ret…