Pangram Labs raises $9M to launch more accurate AI detection for text and images

Pangram Labs Inc., an artificial intelligence research lab that develops AI detection software, today announced it raised $9 ...
Tech Xplore

Game-engine forests train drone AI to count trees with far less labeling

A drone swoops low over an alpine forest. It climbs suddenly to follow the contours of the sharply rising landscape. Pulses ...

As AI content floods the internet, Pangram raises $9M to detect it

Pangram has raised $9 million to scale its AI detection software. The startup has also released a new AI text detection model ...
Medical Device and Diagnostic Industry (MD+DI)

How Anatomically Informed AI Is Solving Medical Imaging's Data Scarcity Crisis

For life sciences executives evaluating digital health portfolios, anatomically informed architectures represent a defensible ...
Law Web

From Algorithms to Justice: Foundations of AI and Automated Decision‑Making for AI Governance

AI is the big umbrella; ML is how it learns; deep learning is powerful learning with neural networks; generative AI is AI that creates ...
marktechpost

Meta AI Releases Segment Anything Model 3 (SAM 3) for Promptable Concept Segmentation in Images and Videos

How do you reliably find, segment and track every instance of any concept across large image and video collections using simple prompts? Meta AI Team has just released Meta Segment Anything Model 3, ...
IEEE

Dense Segmentation Techniques Using Deep Learning for Urban Scene Parsing: A Review

Abstract: Dense segmentation tasks, including semantic, instance, and panoptic segmentation, are essential for improving our comprehension of urban landscapes. This paper examines various deep ...
Science Daily

Artificial intelligence: Algorithms improve medical image analysis

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...
Frontiers

A deep learning-based cascade algorithm for pancreatic tumor segmentation

Pancreatic tumors are small in size, diverse in shape, and have low contrast and high texture similarity with surrounding tissue. As a result, the segmentation model is easily confused by complex and ...
marktechpost

Meet CutLER (Cut-and-LEaRn): A Simple AI Approach For Training Object Detection And Instance Segmentation Models Without Human Annotations

Object detection and image segmentation are crucial tasks in computer vision and artificial intelligence. They are critical in numerous applications, such as autonomous vehicles, medical imaging, and ...
GitHub

Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis

This thesis aims to delineate agricultural field parcels from satellite images via deep learning instance segmentation. Manual delineation is accurate but time consuming, and many automated approaches ...