Swap the label names on a typed decision model's definitions and it flips up to 77% of its answers with zero format errors.

On-device scam detection warns users of manipulative scams locally, preserving privacy and keeping messages off the cloud.

GitHub uses ModernBERT to improve secret detection, reduce false alerts and cut scanning time and model serving costs in ...

Anthropic on October 12, 2026, detailed expanded and strengthened defenses against distillation attacks targeting Claude, ...

GitHub says a ModernBERT-based secret classifier improved weighted acceptance 11.5% and cut median post-push scan time 86%.

Researchers have developed MAPLE, a black-box adversarial defense framework that jointly purifies adversarial images and ...

A new classifier called CABLE-kNN caches local neighborhood evidence during training and neutralizes class priors, beating ordinary kNN on imbalanced binary datasets while accelerating prediction by ...

AI agents can investigate abuse, but reliable detection requires smart routing, classifier feedback loops, audit trails, and ...

GitHub and Microsoft Applied Sciences launched ModernBERT to detect hidden passwords beyond known token patterns.

Anthropic on October 6, 2026 announced an expanded Cyber Verification Program that makes advanced cyber capabilities and reduced blocking classifiers available to qualifying security professionals ...

IntroductionRecently, the name "Jev" has been appearing in AI discussions. While it is sometimes confused with a new OpenAI ...

At first glance, marketing and big data might seem like an odd pair, but they’re actually very complementary. Marketing is all about effectively reaching different audiences, and data tells us what’s ...