Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
AI data trainers who ensure the accuracy and viability of training data going into AI models are well-compensated, in-demand professionals. Two new studies projected potential annual incomes ranging ...
The paper comes at a time when most AI start-ups have been focusing on turning AI capabilities in LLMs into agents and other ...
CT Insider looked at how four specific school districts - New Haven, Torrington, Meriden and Westport - are approaching AI in ...
Abstract: In this study, we present a multistage learning pipeline that utilizes the ResNet-50 architecture as a static feature extractor for multiclass image classification problems. This methodology ...
Abstract: Accurate classification of cancer subtypes from mi croarray gene expression data remains challenging due to high dimensionality, class imbalance, and limited sample sizes. To address these ...