Biotech data visualization is often static and fragmented, limiting the ability to see integrated patient journeys and ...

Engineered DNA can store massive amounts of data while also encrypting it, opening the door to ultra-secure, long-term ...

The application of several high-throughput genomic and proteomic technologies to address questions in cancer diagnosis, prognosis and prediction generate high-dimensional data sets. The multimodality ...

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by laser-scanning technologies. Doing the same with forest data has proven far more ...

A heatmap is a graphical representation of data using colors that represent different values. It's often used to demonstrate user behavior on a particular web page.

Recent research (2024-2025) consistently demonstrates the advantages of integrated AI-VR training: Knowledge Acquisition: ...

Understanding connectivity issues and interactions are only part of the problem; ECOs can cause unexpected problems in other ...

AI systems now operate on a very large scale. Modern deep learning models contain billions of parameters and are trained on large datasets. Therefore, they produce strong accuracy. However, their ...

Before this call, Coda Octopus issued its financial results for the fiscal year ended October 31, 2025, including a press ...

(2026) AI Assisted Material Selection Framework for Corrosion Resistant Steels in Onshore Oil and Gas Pipelines. Open Journal ...

Earth observation data underpin climate science, disaster response, and environmental policy, yet inconsistent grid definitions often limit their accuracy and reuse. Researchers now present a unified, ...

The medical holography market is projected to grow at a robust CAGR of approximately 29% through 2029. This growth is driven ...