IEEE

Hybrid ResNet-YOLOv5 Based Deep Learning Framework for Animal Monitoring in Ecosystem

Abstract: Precise and effective animal monitoring is essential for sustaining environmental equilibrium and wildlife preser-vation. This research introduces an innovative Hybrid ResNet-YOLOv5 deep ...
Tech Xplore

AI device with ion gel and graphene cuts machine learning power use 100-fold

In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...
Tech Xplore

AI models stumble on basic multiplication without special training methods, study finds

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...
IEEE

Demagnetization Fault Diagnosis of Permanent Magnet Synchronous Generator for Wind Turbine Based on ResNet-50 Transfer Learning Model

Abstract: This paper utilizes Convolutional Neural Networks (CNN) with Residual Networks (ResNet) to identify and classify demagnetization faults in images. Firstly, we collected current feature ...
Scientific Research Publishing

De-Risking Returns: How AI Can Reinvent Big Tech’s China-Tied Reverse Supply Chains ()

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...
Unite.AI

The Reinforcement Gap: Why AI Excels at Some Tasks but Stalls at Others

Artificial Intelligence (AI) has achieved remarkable successes in recent years. It can defeat human champions in games like Go, predict protein structures with high accuracy, and perform complex tasks ...