Abstract: This article addresses the integration of model-driven and data-driven approaches for robust hybrid-driven state estimation under limited data and model uncertainties. An unsupervised hybrid ...

Abstract: Entity resolution is an important task in data integration and data cleaning. This study explores how graph-based techniques can address the challenges of data availability and label quality ...

Highly sensitive Australian court files have been accessed by foreign actors in breach of the federal law and Commonwealth contractual obligations, an ABC investigation can reveal. Workers raised ...

American Bureau of Shipping’s top executive has joined the US government’s resistance to global greenhouse gas rules set for a key vote next month. Christopher Wiernicki, who is chief executive and ...

US opposes IMO proposal citing cost concerns for citizens and businesses US exited IMO talks on net-zero framework in April Major shipping firms committed to net zero by 2050 Aug 12 (Reuters) - The ...

1 School of Computer Science, Sichuan University Jinjiang College, Meishan, China. 2 School of Computer Science and Engineering, Sichuan University of Light Chemical Industry, Zigong, China.

One of the biggest challenges early-stage startup founders face is predicting and managing revenue growth. In most organizations, this looks like top-down forecasting and starts with determining the ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Forbes contributors publish independent expert analyses and insights. Gary Drenik is a writer covering AI, analytics and innovation. We are almost three years past the fanfare of ChatGPT’s big debut ...

A team has developed a new method that facilitates and improves predictions of tabular data, especially for small data sets with fewer than 10,000 data points. The new AI model TabPFN is trained on ...