Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...

Five students partnered with Dr. Ahmad Ghafarian, a UNG professor of computer science and cybersecurity, on the application ...

This Collection supports and amplifies research related to SDG 9 - Industry, Innovation & Infrastructure. Discovering new materials with customizable and optimized properties, driven either by ...

Google's June 2026 system updates introduce enhanced security, improved app management, and developer tools across Android ...

As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...

Every AI model depends on labeled data. Data annotation is the process of tagging images, text, audio, or video so that ...

Overview AI and big data posted the sharpest jump on WEF's 2025 skills ranking, up 17 percentage points in two years, while ...

CareNX Innovations combines medical-grade hardware with intelligent software to make fetal monitoring accessible, scalable, ...

Atharv Kolhar, a staff test automation engineer at Figure AI, says the robotics industry needs a testing philosophy that ...

Explore how AI phenotypic screening transforms image-based drug discovery through advanced phenotypic data analysis and ML-driven cell-based assays.