The NFL And Detection Theory Can Improve The College Football Playoff

How detection theory and NFL analytics, reveal why College Football Playoff rankings struggle at scale—and why AI should ...

Reimagining Autonomous Network: The Convergence Of Quantum Computing And AI

We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine ...
GitHub

[ICCV 2025] D³QE: Learning Discrete Distribution Discrepancy-aware Quantization Error for Autoregressive-Generated Image Detection

Integrates dynamic codebook frequency statistics into a transformer attention module. Fuses semantic image features with latent representations of quantization ...
IEEE

SDS-Net: Shallow–Deep Synergism-Detection Network for Infrared Small Target Detection

Abstract: Current convolutional neural network (CNN)-based infrared small target detection (IRSTD) methods generally overlook the heterogeneity between shallow and deep features, leading to ...
IEEE

Complexity Reduction in AMP Iterative Detection: A New Approach With Error Function-Aided Mechanism and Convergence-Based Termination

Abstract: Approximate message passing (AMP) iterative detection is recognized as a reliable and practical approach for multiple-input multiple-output (MIMO) systems. However, existing AMP detection ...