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, ...

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 ...

Feature selection (FS) is a critical step in hyperspectral image (HSI) classification, essential for reducing data dimensionality while preserving classification accuracy. However, FS for HSIs remains ...

Researchers have built a phylogeny-agnostic machine-learning framework that predicts strain-level phage–host interactions ...

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 ...

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 ...

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 ...

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 ...

Researchers have found a novel way to spot the biochemical signatures of Parkinson’s disease in fruit flies using a ...

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