Semiconductor Engineering

AI Transformer Models Enable Machine Vision Object Detection

The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...
Linux Journal

Robotic Vision in Debian: Mastering Image Processing and Object Recognition for Intelligent Robots

Robotic vision, a cornerstone of modern robotics, enables machines to interpret and respond to their surroundings effectively. This capability is achieved through image processing and object ...
JSTOR Daily

Using an AI-Based Object Detection Translation Application for English Vocabulary Learning

This study aimed to examine the effects of an AI-based object detection translation (AI-based ODT) application (app) on EFL students’vocabulary learning. We developed a system that utilized strategies ...
JSTOR Daily

Machine learning-based climate time series anomaly detection using convolutional neural networks

Data from New Zealand’s National Climate Network are operationally verified both during data ingest and post data ingestion into the National Climate Database. The quality control process in the ...
InfoWorld

What is deep learning? Algorithms that mimic the human brain

Deep learning is a form of machine learning that models patterns in data as complex, multi-layered networks. Because deep learning is the most general way to model a problem, it has the potential to ...
Yahoo Finance

Object Management Group Issues Request for Proposal for Portability and Interoperability of Neural Networks Specification

BOSTON, MA, July 10, 2025 (GLOBE NEWSWIRE) -- – Object Management Group® (OMG®) recently issued a request for proposal (RFP) for a Portability and Interoperability of Neural Networks (PINN) ...