Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

Cluster packaging refers to the grouping of multiple beer cans or bottles into a single package unit, typically using shrink ...

Kaizen rethinks cell segmentation by mimicking brain predictions. Using an iterative machine-learning approach to refine boundaries in crowded microscopy images, it enhances accuracy in tissue studies ...

Teaching AI to explore its surroundings is a bit like teaching a robot to find treasure in a vast maze—it needs to try different paths, but some lead nowhere. In many real-world challenges, like ...

Geraldine Balzer emphasizes the importance of reciprocity and relationality in research with Indigenous communities ...

Podcast: New research outlines ten key design and implementation considerations for ESM studies, helping researchers apply ...

Previous attitudinal and needs-based segmentation research in Alzheimer's has been highly successful in accomplishing those goals. Deeper segmentation for deeper insights Within the Alzheimer's ...

Overall, 77% of Americans say stricter building standards are a good idea for communities at high risk of extreme weather. And 64% think it is a good idea for government to provide financial ...

I still maintain that search clustering by SERP results is a far superior method. That’s because AI is very keen to ground its results on SERPs and for good reason – it’s modelled on user ...

Neuroscience is a multidisciplinary science that is concerned with the study of the structure and function of the nervous system. It encompasses the evolution, development, cellular and molecular ...

With nearly two decades of retail management and project management experience, Brett Day can simplify complex traditional and Agile project management philosophies and methodologies and can ...

Deep learning methods have become an increasingly common choice for academics lately because of their outstanding precision and high efficacy for picture segmentation. The widespread use of Fuzzy ...