Food Industry Executive

Food Exec Brief: Predictive AI, Virtual Twins, Supply Intelligence, and UPF Regulation

Welcome to this week’s Food Exec Brief, a roundup of the most important news shaping food and beverage manufacturing, from AI ...
Security Boulevard

Powerful Tools to Manage Machine Identities

This includes all stages of their lifecycle–from discovery and classification ... in logistics, serving as a model elsewhere. How are emerging technologies reshaping NHI management? Advances in ...

Which Machine Learning Models Are Most Used In Crypto Signal Generation?

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...
IEEE

Hierarchical Contrastive Learning for Multigranularity Ship Classification With Learnable Class Queries

Abstract: Ship targets in remote sensing images can be categorized at various granularities due to variations in image quality, ranging from general ship categories to fine-grained classes like Nimitz ...
Scientific Research Publishing

Estimating Average and Heterogeneous Effects of Special Education: A Causal Machine Learning Perspective ()

Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...