MSAA, a lightweight AI system that uses adaptive attention and sonar imaging to detect defects in flooded underground ...

Pune: AI-powered multi-agent framework research designed to make software testing more autonomous has received the Best Paper Award at the International IEEE Conference on Applied Intelligence and ...

This project focuses on automatically classifying the condition of solar panels using Deep Learning techniques. The model identifies six different panel conditions, including environmental ...

Because this is a multi-label problem, one image may contain more than one defect at the same time. The original dataset split was not used directly. A custom cleaning and splitting pipeline groups ...

Researchers in China have developed an unsupervised tensor decomposition algorithm that detects subtle, low-contrast fabric ...

A research team led by experts from IBM and Google has developed MAAT, an autonomous multi-agent framework that significantly improves software testing efficiency and accuracy, earning top honors at ...

Deep learning is the state-of-the-art approach for bioimage segmentation. However, it presents a paradox regarding image resolution: counterintuitively, deep learning segmentation performance can ...

Glimpse has launched Explore software to speed up industrial CT scan QC. Learn about this private tech firm's impact on ...

Industrial defect detection often struggles with small defects, weak boundaries, and distracting background textures. We present WMS-Net, a detector that combines ...

Forlinx, an NXP Gold Partner, is bringing higher AI performance to industrial edge applications with the FAI-ARA240-M, an M.2 ...

Machine learning operates as the silent engine behind modern digital infrastructure. It filters out malicious traffic, anticipates supply chain bottlenecks, and guides autonomous vehicles. However, ...

Logic and Design has become the first in the world to integrate its proprietary image sharpening algorithm, LISr, into a ...