Conversational AI doesn’t understand users — 'Intent First' architecture does

The sooner an organization realizes this as an architectural imperative, the sooner they will be able to capture the ...

If there's one thing I want from my next phone it's less AI in my camera

Smartphone cameras are leaning hard on AI, but is it helping or hurting image quality? I look at why hardware still matters ...
IEEE

AHCO-YOLO: An Algorithm–Hardware Co-Optimization Framework for Energy-Efficient and Real-Time Object Detection on Edge Devices

Abstract: Real-time object detection on edge devices operates under tight computational, memory, and power budgets. Prior work typically treats model compression and hardware acceleration ...
GitHub

Real-Time Object Detection Meets DINOv3

DEIMv2 is an evolution of the DEIM framework while leveraging the rich features from DINOv3. Our method is designed with various model sizes, from an ultra-light version up to S, M, L, and X, to be ...
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
GitHub

hongping-zh/circular-bias-detection

Stop deploying AI models with inflated performance scores. Sleuth detects hidden bias caused by tweaking hyperparameters, prompts, or datasets during evaluation—breaking circular reasoning in AI ...
IEEE

Algae Object Detection Algorithm Based on Improved YOLOv5

Abstract: Algae are sensitive to changes in water quality, and the substances produced by algae also have a direct impact on the aquatic environment, so the detection and analysis of algae can provide ...