Ovarian cancer has historically been called a “ silent killer ,” because clinicians thought its symptoms were undetectable. Patients were often diagnosed so late that doctors thought nothing could be ...

To this end, we develop a layering framework for joint video frame drop and object detection task offloading. In the lower layer, by invoking Lyapunov optimization, we devise an algorithm for ...

such that feature fusion can aim at the object detection task. Meanwhile, a dual-enhancement mechanism, including enhancements for two-modality fusion and single modality, is designed in both DECA and ...

In this blog, we will explore the top five deepfake detection tools and techniques available today. Reality Defender is a deepfake detection platform designed to combat AI-generated threats across ...

YOLO is a popular one-stage object detection model known for its speed and accuracy. It processes images in real-time, making it suitable for applications requiring quick detection. EfficientDet is ...

We tested a range of AI-detection services with text written by ChatGPT and text written by a human: These are the tools that performed best. My title is Senior Features Writer, which is a license ...

An artificial intelligence-powered weapon detection system failed to pick up the handgun a 17-year-old Nashville, Tennessee, student used in a school shooting Wednesday that killed a 16-year-old ...

“I love to dissect and understand things, and my works often feature objects—usually a chair—sliced open to expose an inner structure; to express an inner truth, so to speak,” Lin tells Colossal. She ...

For computer vision, one of the most challenging functions is camouflage object detection (COD), the ability ... the researchers reviewed was the novel-task setting strategy approach.

A complete and local NVR designed for Home Assistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras. Use of a Google Coral Accelerator ...