Airborne AI spots underwater munitions in shallow seas with high precision

A new airborne imaging approach can reliably detect unexploded weapons that lie in shallow coastal waters and remain an ...
Tech Xplore

Drone-mounted camera can detect plastic landmines without an internet connection

Today's antipersonnel land mines are small and often have plastic casings that standard metal detectors cannot register.

What are plastic landmines, and can AI help detect it? Researchers develop AI method to identify hidden explosives using drones

A new study explains how researchers developed a machine-learning system that uses drones and AI to detect plastic landmines ...
Tech Xplore

LiDAR approach could change factory inspections for tiny hard-to-reach parts

Researchers have developed a new LiDAR approach that makes it possible to image small objects with much greater precision and ...

Turning student ideas into real-world impact at Samsung Solve for Tomorrow

At the Samsung Solve for Tomorrow reunion, young innovators showcased solutions like Tushar Shaw's AI glasses for the ...
GitHub

Deep learned, NVIDIA-accelerated 3D object pose estimation

Those packages use GPU acceleration for DNN inference to estimate the pose of an object. The output prediction can be used by perception functions when fusing with the corresponding depth to provide ...
IEEE

Hyperparameters Tuning of Faster R-CNN Deep Learning Transfer for Persistent Object Detection in Radar Images

Abstract: In previous work, a methodology was proposed to obtain a sea surface object detection model based on the FasterR-CNN architecture using Sperry Marine commercial navigation radar images.

AI Humanizers Promise More ‘Human’ Writing—But Authenticity Is Hard To Capture

AI humanizers promise to make AI-generated text sound more natural. Learn how they work, why they're popular, and whether ...

Q.ANT Runs Generative AI on Photonic Hardware

Q.ANT, the pioneer in commercial photonic computing, today demonstrated the first complex, production-relevant AI workloads on its photonic hardware. Q.ANT successfully demonstrated a diffusion model ...
IEEE

A Comparative Study of State-of-the-Art Deep Learning Algorithms for Vehicle Detection

Abstract: In recent years, the deep learning object detection algorithms using 2D images have become the powerful tools for road object detection in autonomous driving. In fact, the deep learning ...
GitHub

WSVM: Weakly Supervised Object Detection for Automatic Tooth-marked Tongue Recognition

WSVM is a fully automated method using Vision Transformer (ViT) and Multiple Instance Learning (MIL) for tongue extraction and tooth-marked tongue recognition. It accurately detects the tongue region ...