Training-free framework that converts SAM3 into a real-time multi-class open-vocabulary detector. Achieves 55.8 AP on COCO val2017 (80 classes) at 15.8 FPS (4 classes, 1008px) on a single RTX 4080.

Studies by the National Institute of Standards and Technology (NIST) show that many commercial facial recognition algorithms have significantly higher error rates for ...

Abstract: Traditional attendance systems have struggled to maintain accuracy, security, and efficiency in this regard in recent years. This paper addresses these challenges by proposing using ...

Vienna, Austria, June 25, 2026 — digna, the European data quality and observability platform, today announced the release of digna 2026.06, introducing a new Python SDK and Docker deployment support ...

only. It is not possible to request both `text` and `audio` at the same time. parallel_tool_calls: Optional[bool] = None """Whether the model may call multiple tools in parallel. Only supported by ...

Abstract: This work introduces a new facial recognition sys-tem functioning only on conventional processor hardware and without the requirement of GPU acceleration. The proposed architecture ...

The code WIRED identified is gone from the latest version of Meta AI, the companion app for the company’s smart glasses. Meta won’t say why or whether it’s coming back. The most recent version of Meta ...

Code reviewed by WIRED uncovered an unreleased face-recognition system embedded in Meta’s smart glasses platform. It’s designed to identify people via biometric data stored on users’ phones. Code ...