IEEE

Learning With Partial-Label and Unlabeled Data: Contrastive With Negative Example Separation

Abstract: Semi-Supervised Partial Label Learning (SSPLL) is an important branch of weakly supervised learning, where the data consists of both partial label examples and unlabeled ones. In SSPLL, the ...
IEEE

Lifeisgood: Learning Invariant Features via In-Label Swapping for Generalizing Out-of-Distribution in Machine Fault Diagnosis

Abstract: In machine fault diagnosis, conventional data-driven models trained by empirical risk minimization (ERM) often fail to generalize across domains with distinct data distributions caused by ...
Harvard Business Review

Why Your Company Needs a Chief Data, Analytics, and AI Officer

How is AI and data leadership at large organizations being transformed by the accelerating pace of AI adoption? Do these leaders’ mandates need to change? And should overseeing AI and data be viewed ...
GovCon Wire

NGA Selects Enabled Intelligence to Provide AI/ML Data Labeling Service Under $708M SEQUOIA Contract

Enabled Intelligence has secured the National Geospatial-Intelligence Agency’s SEQUOIA contract, a single-award vehicle worth up to $708 million over seven years to provide data labeling-as-a-service ...
IGN

"It isn't stupid to not sell things at a loss, just peculiar in this case."

Valve Confirms Steam Machine Will Not Be Subsidized Hardware Like Consoles, and Some Are Questioning That Strategy While Bracing Themselves for a 'Current PC Market' Price "It isn't stupid to not sell ...