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

Abstract: Deep learning (DL)-based defect detection provides various robust automated solutions for maintaining the daily operations of electric multiple units (EMUs). However, a sophisticated ...

A beginner-friendly hackathon project that detects anomalies in industrial images, estimates the likely root cause, and displays results in a simple Streamlit dashboard. Upload industrial images ...

Meta’s new AI detection tool isn’t working entirely as advertised, according to a new report. Meta debuted its first image ...

Light Emitting Diodes (LEDs) are used in everything from household lighting and mobile phones to large display screens.

Neutron sources can be directly identified from measured spectra rather than proxies using inference tools adapted from ...

By Hardik Vyas and Seana Davis July 10 (Reuters) - A new AI detection tool from Meta, which the tech company previewed this week alongside the launch of its image-generation model, Muse Image, failed ...

A hybrid artificial intelligence model that combines two well-established deep learning techniques has improved the accuracy ...

With the ability to take control of distributed devices at scale, HalluSquatting has the potential to achieve various ...

Neural networks, a fascinating technology inspired by the human brain, form the basis of artificial intelligence. These ...

AI detectors are struggling against increasingly realistic deepfakes. Researchers say people can dramatically improve their ...

Portable screen-printed carbon electrode (SPCE) biosensors offer a rapid and low-cost way to detect microcystin-lysine-arginine (MC-LR), an extremely potent toxin produced by cyanobacteria during ...