Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

New Wireless Broadband Alliance report lays out the frameworks and priorities needed to scale intelligent Wi-Fi without ...

Khaberni - Early cancer detection technologies are undergoing a radical transformation with the emergence of multicancer blood tests (MCED), which rely on the analysis of free DNA ...

Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.

Mark Zuckerberg’s court testimony that companies should build “useful” products has reignited debate on morality of algorithms ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

AI-powered malware in 2026 has evolved far beyond traditional viruses. Instead of static code, ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

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, ...

Advances in ultrasound—the same imaging technology that uses sound waves to allow doctors to monitor babies in utero—are being applied by engineers at the University of California San Diego to make ...