Datasets in AI and machine learning contain many flaws. Some might be fixable, ... a few labelers for MIT’s and NYU’s 80 Million Tiny Images dataset — which was taken offline in 2020 ...

Examples of machine learning dataset poisoning. ... someone could insert an image of a speed limit sign into a dataset of stop signs to trick a self-driving car into misclassifying road signage.

As machine learning datasets expand, they increasingly infringe on privacy by using images, text, or other material scraped without user consent; recycle toxic content; and are the source of other ...

Image analysis based on machine learning reliably identifies haematological malignancies. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2021 / 03 / 210322122911.htm ...

An influential machine learning dataset—the likes of which has been used to train numerous popular image-generation applications—includes thousands of suspected images of child sexual abuse, a ...

Researchers at the Indian Institute of Science (IISc) and the Qatar Science and Technology Research Center (QSRTC) have ...

For their study, the researchers used some of the benchmark machine learning datasets: one was for digit classification, another for classifying chest X-rays, and one for classifying images of ...

This study reveals how machine learning models uncover new genetic variants linked to Alzheimer’s, advancing predictive ...

Computing the Similarity Between Two Machine Learning Datasets. At first thought, computing the similarity/distance between two datasets sounds easy, ... For example, each image of a digit might be ...

PRIMO is based on dictionary learning, a field of machine learning that generates rules based on extensive training data sets. PRIMO was trained using 30,000 high-resolution simulated images of ...