Deep learning detects foodborne bacteria within three hours by eliminating debris misclassifications

Researchers have significantly enhanced an artificial intelligence tool used to rapidly detect bacterial contamination in ...
TMCnet

RTX BBN Technologies leads multi-team effort to demonstrate secure, real-time spectrum coexistence for 5G, defense radar

Purdue University will deliver advanced signal processing and machine learning (ML) models for faster interference ...
Semiconductor Engineering

Catching Critical Defects In TSVs And Stacked Chips

The small and complicated features of TSVs give rise to different defect types. Defects can form during any of the TSV process steps, which include lithography patterning followed by deep reactive ion ...
The Southern Maryland Chronicle on MSN

How are QA teams using machine learning to predict test failures in real time?

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...
IEEE

Deep Transfer Learning Based Multi-Classification of Dental Diseases X-Ray Images

Abstract: This research work proposes a deep transfer learning model for multi-classification purposes within dental diseases classed by their X-ray images. The paper elaborates typical challenges ...
IEEE

A Multi-Criteria Framework for Selecting Machine Learning Techniques for Industrial Fault Prognosis

Abstract: Selecting appropriate Machine Learning (ML) techniques for fault prognosis remains a critical yet often understructured step in developing predictive maintenance strategies for industrial ...

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...