As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

The generation of synthetic data in healthcare has emerged as a promising solution to surmount longstanding challenges inherent in the use of real patient data. By replicating the underlying ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...

Artificial Intelligence (AI) has become a buzzword in today’s tech-driven world, promising new possibilities and reshaping industries. Despite its prevalence, ...

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...

With such increased predictive knowledge of solar systems, these anomaly detectors can significantly reduce costs of O&M, a major component of project economics in solar development. There is great ...

A new article published in the Journal of Dental Research explores the development of an integrated data-cleaning and subtype ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it.

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...