Accuracy is the make-or-break factor. If a detector flags too much code by mistake, it wastes time and frustrates developers. If it misses AI-generated sections, it cannot deliver the transparency ...

LLM-penned Medium post says NotebookLM’s source-bounded sandbox beats prompts, enabling reliable, auditable work.

An AI-powered penetration testing tool is automating offensive cybersecurity, accelerating vulnerability discovery and ...

The AI Annotation Market is growing rapidly as demand rises for high-quality labeled data across computer vision and NLP use cases, with the U.S. segment expanding from USD 0.66 billion in 2025E to ...

Over the last few years, systems and applications that help visually impaired people navigate their environment have undergone rapid development, but still have room to grow, according to a team of ...

Five leading medical image annotation tool stand out for research applications. iMerit delivers high-quality data annotation services tailored for healthcare AI projects. ITK-SNAP delivers powerful 3D ...

I am using CVAT to annotate a dataset for thermal animal detection. The animals appear as numerous, tiny specks in each image, so I would like to annotate each one with a single point at its center.

Abstract: Existing object detection methods is constrained by the high annotation costs, particularly in remote sensing due to the diversity of targets and the large scale of data. Visual-prompted ...

According to a statement emailed to The Debrief and a separate story on the organization’s website, when Dr. John Sandusky first joined Sandia almost 20 years ago, he was asked if the heliostats at ...

Marine scientists have been leveraging supervised machine learning algorithms to analyze image and video data for nearly two decades. There have been many advances, but the cost of generating expert ...