News Uncategorized MIT study finds ‘systematic’ labeling errors in popular AI benchmark datasets [VentureBeat] March 29, 2021 Thomas Giboney computers, home theater, Nintendo, playstation, projectors, receivers, Smart Home, speakers, surround sound, technology, televisions, video games, xbox In a new study, researchers at MIT find evidence of mislabeled data in corpora popularly used to benchmark AI systems. View Article on VentureBeat AI,Big Data,Cloud,Dev,VB Home Page,ai,artificial intelligence,benchmarks,category-/Science/Computer Science,errors,ImageNet,machine learning,mislabeled,MIT,privacy,research mislabeled Spread the word!Click to share on Twitter (Opens in new window)Click to share on Facebook (Opens in new window)Click to share on LinkedIn (Opens in new window)