Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

AI-powered document processing automates data extraction, classification, and validation with 95-99% accuracyMarket projected ...

High school students gain PhD-led mentorship, publish original research, and build real-world AI models through ...

In machine learning, privacy risks often emerge from inference-based attacks. Model inversion techniques can reconstruct sensitive training data from model outputs. Membership inference attacks allow ...

By Hugo Francisco de Souza A new study shows that gut microbiome signatures, analyzed through advanced machine learning, can help identify individuals with more severe insulin resistance, offering ...

Read more about Privacy-by-design AI targets mind wandering and disengagement in digital classrooms on Devdiscourse ...

Discover the best AI smartphones in 2026 with an objective smartphone performance comparison, highlighting AI speed, ...

A biomimetic synapse built from water droplets and biological ion channels achieves synaptic plasticity and performs machine learning tasks.

Have you ever seen a hibiscus flower? Although its petals have a range of colors, what makes the trumpet-shaped flower more ...

Project Silica introduces new techniques for encoding data in borosilicate glass, as described in the journal Nature. These ...