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 ...

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

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, ...

Sidetrade, the Order-to-Cash AI company, today released new global payment data showing that late payments now account for 37% of the payment cycle. The findings come from the latest analysis of the ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

As ADAS move rapidly from premium add-ons to mainstream safety features, a critical question is gaining urgency. How reliable ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Anthropic's Super Bowl ad makes fun of ads on ChatGPT and OpenAI CEO Sam Altman is not amused. The post The latest AI-powered ...

Wulandari, Rastafael, and Hwihanus (2024) conducted a meta-analysis of international studies and found that implementing ...

Scientists have released the DinoTracker app to help paleontologists and amateur enthusiasts identify fossilized dinosaur ...

This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...

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