Nature

Image Set Classification and Face Recognition

Image set classification and face recognition have emerged as pivotal domains within computer vision, addressing the inherent variability in images obtained from real-world environments. Rather than ...
ascopubs.org

Generalizability of Self-Supervised Training Models for Digital Pathology: A Multicountry Comparison in Colorectal Cancer

We adopted SimSiam to conduct self-supervised pretraining on two large whole-slide image CRC data sets from the United States and Australia. The SSL pretrained encoder is then used in several ...
Business Wire

Flow Security Unveils the First DSPM Solution to Harness LLM in Unstructured Data Classification

TEL AVIV, Israel--(BUSINESS WIRE)--In a revolutionary move, Flow has designed data classification powered by Large Language Models (LLMs). With a focus on unstructured data, this technology can ...
Forbes

One-Size-Fits-All Data Classification Doesn’t Fit HR's Needs

As organizations evolve, traditional data classification—typically designed for regulatory, finance or customer data—is being stretched to accommodate employee data. While classification processes and ...
Computer Weekly

Auto-tech series - Netskope: Automating data classification

The latest trends in software development from the Computer Weekly Application Developer Network. This is a guest post for the Computer Weekly Developer Network written by Krishna Narayanaswarmy in ...