Mass spectrometry (MS)-based proteomics is increasingly applied in a quantitative format, often based on labeling of samples with stable isotopes that are introduced chemically or metabolically. In ...

As machine learning has grown, one of the major bottlenecks remains labeling things so the machine learning application understands the data it’s working with. Datasaur, a member of the Y Combinator ...

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 ...

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 ...

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 ...

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 ...