Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...

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, ...

Machine design engineers working in the medical device field might draw inspiration from AuraWell’s iterative, ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.

As artificial intelligence continues to reshape multiple industries, many globally recognised AI certifications are now available for professionals in 2026.

A robotics maker has showcased a functional laundry-folding robot prototype made in under 24 ...

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 ...

Professor James Rondinelli collaborated with IBM to help turn simulations into potential practical chip designs.

The funding will be used to scale computing, enhance enterprise deployments, and expand research, engineering, and marketing ...

Divyaraj Singh Jatav is a doctoral researcher and AI systems professional based in the United States. His work spans ...