By Nir Eisikovits and Jacob Burley The Conversation Public debate about artificial intelligence in higher education has ...

The SMU Resilient Workforces Institute, currently helmed by SMU Professor Archan Misra, seeks to address adult learning and ...

A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...

New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...

Report from wireless connectivity trade body outlines frameworks and priorities needed to scale intelligent Wi-Fi through artificial intelligence and machine learning without industry fragmentation.

Based on these challenges, a comprehensive reassessment of how AI should be deployed in electrocatalysis has become urgently needed. Addressing this need, a review published (DOI: 10.1016/j.esci.2025.

Researchers used 16S rRNA sequencing and machine learning to identify gut microbiome patterns associated with insulin resistance severity in people with type 2 diabetes. XGBoost models showed that ...

Below is a curated list of machine learning development providers that stand out in 2026 for their ability to build enterprise-grade ML solutions tailored to complex business environments.

AI is transforming cognitive work across all areas of human activity. It is poised to bifurcate humanity into superhumans who are amplified by it and those who become disempowered. Individuals will be ...

Harvard researchers have developed OpenMetabolics, an open-source, smartphone-based activity monitor that uses machine ...

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...