Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

The shift to remote work and dispersed global operations at life science firms has forever altered the regulatory market. We’ve seen an increase in the speed with which the industry is adapting to new ...

Amid the boom of AI in application building, companies face a significant data-labeling problem, especially when it comes to labeling images or other media content they want to train deep learning ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More HumanSignal, the firm behind the widely used open source Label Studio for ...

Organizing data labeling for machine learning is not a one sitting job, yet a single error by a data labeler may cost you a fortune. Now, you probably wonder how do I ...

The hidden secret of artificial intelligence is that much of it is actually powered by humans. Well, to be specific, the supervised learning algorithms that have gained much of the attention recently ...

How should meat grown from cultured animal cells be labeled? In a joint FDA/USDA webinar, officials said they would work together to come up with joint principles to govern the labeling of products ...