However, conventional Graph Neural Networks (GNNs) often struggle with accuracy when "extra" or ... introduces three key mechanisms: Extra-node detection using a denormalized matching matrix ...

An AI-driven framework improves early credit risk detection in internet finance by integrating CNNs and knowledge graph theory. The system enhances prediction accuracy across structured and ...

I picked Originality.ai as the overall best AI detection tool. It ranked first for core features and ease of use and tied for content accuracy. Read to learn more about each tool’s use case ...

forensic scholars say the surge of detection start-ups — particularly those boasting near-perfect accuracy — risks throwing gasoline on the growing AI fire by providing a false sense of ...

But a new breakthrough in AI cancer detection is pushing accuracy levels to an unprecedented 99 percent, giving doctors a major new tool in the fight. This is a massive leap in accuracy from ...

It processes visual data, filters noise, and highlights potential cancer risks, enhancing detection speed and accuracy. It also shows high accuracy in detecting colorectal, breast, and oral cancers.

Patent describes how multiple devices could help A new patent application spotted by Patently Apple describes how Crash Detection accuracy could be improved by using multiple Apple devices ...

Liz González’s neighborhood in East San Jose can be loud. Some of her neighbors apparently want the whole block to hear their cars, others like to light fireworks for every occasion, and ...