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 ...

By combining ultra-throughput biochemistry and machine learning, biotech company Anagenex is discovering innovative new ...

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, ...

Deep in the genomes of fungi lies a vast, unexplored library of molecular switches that control which genes are turned on and ...

Amiodarone has saved countless lives as one of the most effective antiarrhythmic drugs available to cardiologists, yet its ...

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 ...

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 ...

Clinical machine learning is increasingly used for prediction, diagnosis, prognosis, risk stratification, and treatment-related decision support. These ...

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 ...

The future of machine learning in Canadian medical diagnostics appears increasingly promising. Advances in computing power, ...

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 ...

Learn how to find and make the best use of valuable insights buried in your company’s databases.