MIT researchers have unveiled new technology that allows for the labeling of proteins in millions of individual cells within fully intact tissues. The method, named Continuous Redispersion of ...

The heavy reliance that companies place on manual processes and disparate labeling systems is more times than not at the route of product recalls. In 2018 alone, labeling issues made up 9% of all ...

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 ...

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 ...

Traditional labeling-development techniques can put a drain on manufacturers’ resources — and that’s before a decision is made on which information is needed and will fit on the label. Electronic ...

Connected component labeling (CCL) is a fundamental operation within image processing and computer vision, serving as the backbone for tasks such as object recognition, segmentation, and analysis. At ...

As recently as 1993, the average buyer knew what they preferred between sweetened corn and oats for breakfast. They could walk into the store and pick their favourite cereal without giving it much ...

Machine learning (ML) can be a powerful addition to your Android projects. It helps you create apps that intelligently identify text, faces, objects, famous landmarks, and much more, and use that ...

Accurate labeling of penicillin allergies is essential, but unconfirmed penicillin allergies may have negative effects on individual and public health, according to experts. A trend toward ...