AI Doesn’t Have A Data Problem; It Has A Context Problem

Many AI initiatives fail not because of poor technology but because organizations lack shared definitions, context and ...
IEEE

Learn From Examples: In-Context Learning for Camouflaged Object Detection

Abstract: Recently, new paradigms of camouflaged object detection (COD), such as referring COD (Ref-COD) and collaborative COD (Co-COD), have been proposed to enhance task performance. However, there ...
CNA

Low engagement among workers is a persistent problem in Singapore. These companies found the fix

As Singapore grapples with talent shortages, an ageing workforce and rapid AI disruption, its persistently low employee ...
IEEE

A Deep Reinforcement Learning-Based Adaptive Large Neighborhood Search for Capacitated Electric Vehicle Routing Problems

The Capacitated Electric Vehicle Routing Problem (CEVRP) poses a novel challenge within the field of vehicle routing optimization, as it requires consideration of both customer service requirements ...