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 ...
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 ...
EurekAlert!

MIT study shows AI-generated sensors open new paths for early cancer detection

A new AI model designs peptides (short proteins) that are targeted by enzymes called proteases, which are overactive in cancer cells. Nanoparticles coated with these peptides can act as sensors that ...
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 ...
IEEE

Evaluating Reinforcement learning for Error Detection in Model-Based Testing

Abstract: Software testing ensures systems meet requirements and identifies defects while minimizing manual effort, reducing costs, and enhancing automation. Model-Based Testing (MBT) leverages ...
Targeted Oncology

Breast Cancer Test Using Proteomic Profiling and AI Demonstrates High Performance

The blood-based test by Astrin Biosciences shows high sensitivity and specificity across cancer stages and subtypes, addressing mammography's limitations in dense breast tissue. The test achieved 92.3 ...