The degradation is subtle but cumulative. Tools that release frequent updates while training on datasets polluted with ...
A research team led by Professor Wang Hongzhi from the Hefei Institute of Physical Science of the Chinese Academy of Sciences has developed a multi-stage, dual-domain, progressive network with ...
The big question is whether LLM control becomes a standard “software upgrade” for MEX, or whether it stays a clever lab demo ...
Microsoft develops a lightweight scanner that detects backdoors in open-weight LLMs using three behavioral signals, improving ...
Learn how Microsoft research uncovers backdoor risks in language models and introduces a practical scanner to detect tampering and strengthen AI security.
Abstract: Agriculture is a crucial sector that supports the global economy. With the increase of demands in agriculture, technology that supports this field keep on advancing. This research paper ...
From Chicago to Minneapolis, federal immigration agents deployed on Trump administration crackdowns have relied on an unlikely tool in the heat of tense operations — cellphone cameras. That practice ...
Abstract: Defect detection in mass production lines is often challenged by small and imbalanced datasets, making few-shot learning approaches particularly suitable. Traditional deep learning methods ...
CNN’s Harry Enten breaks down the numbers. Republican signals support for Trump impeachment 17 college basketball players charged in point-shaving scheme: Indictment I asked 3 restaurant pros to name ...
This project implements and compares two YOLOv12 object-detection pipelines for printed-circuit-board (PCB) defect identification. The objective is to detect four major defect types: ...
The In-Sight 3800 can inspect up to 1,200 parts per minute, leveraging multi-torch illumination for enhanced surface contrast. Built on hybrid AI, it merges AI-based edge learning with rule-based ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results