High-precision Global Navigation Satellite System (GNSS) positioning depends on successful carrier-phase ambiguity resolution ...

Almost anyone can poison a machine learning (ML) dataset to alter its behavior and output substantially and permanently. With careful, proactive detection efforts, organizations could retain weeks, ...

Meta AI has released LeanUniverse, an open source machine learning (ML) library designed to address the growing challenges of managing datasets in large-scale machine learning projects. Built on the ...

Researchers at the University of Tokyo developed CYAN, a machine-learning method that extracts reaction rate constants from routine yield-optimization data, revealing a counterintuitive nickel ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of payments. We live in a world where machines can understand speech, recognize faces, and even generate ...

An animated mosaic of simulations included in the Well collection of datasets. Alex Meng, Aaron Watters and the Well Collaboration What can exploding stars teach us about how blood flows through an ...

The Data Provenance Explorer can help machine-learning practitioners make more informed choices about the data they train their models on, which could improve the accuracy of models deployed in the ...

Data science platform Kaggle is hosting a Wikipedia dataset that’s specifically optimized for machine learning applications. Data science platform Kaggle is hosting a Wikipedia dataset that’s ...

A study of fifteen local European plum varieties from Türkiye's Black Sea region documents wide variation in fruit traits and ...

Say you're training an image recognition system to identify U.S. presidents. The historical data reveals a pattern of males, so the algorithm concludes that only men are presidents. It won't recognize ...