IEEE

Image Classification using Quantum Convolutional Neural Network (QCNN)

Abstract: Convolutional Neural Networks (CNNs) are extensively utilized for image classification due to their ability to exploit data correlations effectively. However, traditional CNNs encounter ...
Quanta Magazine

Distinct AI Models Seem To Converge On How They Encode Reality

Is the inside of a vision model at all like a language model? Researchers argue that as the models grow more powerful, they ...
IEEE

Spatial-Spectral Contrastive Graph Neural Network for Few-Shot Hyperspectral Image Classification

Abstract: Graph Neural Networks (GNNs) have emerged as a promising solution for few-shot hyperspectral image (HSI) classification. However, existing GNN-based approaches face critical limitations in ...
TV Insider

CNN’s Scott Jennings Set for Big New Job Away From Network

Scott Jennings, a conservative pundit on CNN, is adding a new job to his resume. The political commentator will host a two-hour weekday slot on Salem Radio Network. The slot was previously held by ...
Frontiers

Breaking the memory wall: next-generation artificial intelligence hardware

The relentless advancement of artificial intelligence (AI) across sectors such as healthcare, the automotive industry, and social media necessitates the development of more efficient hardware ...