Latest Articles for DNN

HESSO simplifies model compression, making neural networks more efficient without losing performance.

Study shows staining variations hinder deep neural networks in cancer prediction.

This research explores memory reduction methods for training deep neural networks.

Optimizing DNNs with power-of-two quantization for resource-limited devices.

AIMC chips show promise in defending AI from clever attacks.

A new strategy for targeting multiple tasks in deep neural networks.

This study measures uncertainty in model predictions to detect deceptive design patterns.

Discover how B3FA attacks compromise deep neural networks with minimal knowledge.

Learn how to check if neural networks remain accurate with data changes.

New techniques enhance plant disease detection for farmers using drones and AI.