Automatic label checking: The missing step in making medical AI reliable

Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...

Why complex reasoning models could make misbehaving AI easier to catch

In a new paper from OpenAI, the company proposes a framework for analyzing AI systems' chain-of-thought reasoning to understand how, when, and why they misbehave.
The Hacker News

Purdue University's Real-World Deepfake Detection Benchmark Raises the Bar for Enterprise Models

Purdue’s PDID benchmark tests deepfake tools on real social media content, showing why false-acceptance rates matter for ...
News-Medical.Net on MSN

Automated system improves deep learning accuracy in chest radiography analysis

Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...
eLife

Human EEG and artificial neural networks reveal disentangled representations and processing timelines of object real-world size and depth in natural images

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
Morning Overview on MSN

China scammers use AI images to score refunds, report says

Fraudsters in China are quietly turning generative AI into a new kind of crowbar, prying open e-commerce refund systems that were built on trust and quick resolution. By fabricating hyper-realistic ...