Harvard Medical School

The “Dataset Nutrition Label Project” Tackles Dataset Health and Standards

The Dataset Nutrition Label Project (DNLP), which was created during the 2018 Assembly program hosted by the Berkman Klein Center and MIT Media Lab, seeks to tackle this blindspot in our understanding ...
Harvard Medical School

The Dataset Nutrition Label Project

The Dataset Nutrition Label Project empowers data scientists and policymakers with practical tools to improve AI outcomes. The Project aims to create a standardized, recognizable label framework — ...
technologynetworks

Sartorius Unveils LIVECell, a Deep-Learning Dataset for Label-Free, Quantitative Cell Segmentation

Sartorius has announced the publication of an article in Nature Methods describing the company’s LIVECell (Label-free In Vitro image Examples of Cells) deep-learning dataset for label-free, ...
VentureBeat

How open-source data labeling technology can mitigate bias

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Data labeling is one of the most fundamental aspects of machine learning.
Tech Xplore on MSN

New RoboReward dataset and models automate robotic training and evaluation

The advancement of artificial intelligence (AI) algorithms has opened new possibilities for the development of robots that ...
EurekAlert!

A process of continual learning for a synthetic multi-label dataset (IMAGE)

The figure shows how new information is learned each time a data distribution is input, while retaining information learned in the past. News organizations may use or redistribute this image, with ...