On-site AI platforms combining rugged IPCs with purpose-built machine learning acceleration are giving machines the ability ...

A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale.

Recent experiments placing large language models in simulated nuclear crises have produced alarming headlines. “Bloodthirsty” ...

Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.

A new study published in the Journal of Neurology1 detailed the development of 2 machine learning–based tools that were able ...

This article examines the work of data scientist Sai Prashanth Pathi in AI for credit risk, focusing on explainable machine ...

An artificial intelligence (AI) model developed by researchers at The University of Texas MD Anderson Cancer Center ...

Tungsten's superior performance in extreme environments makes it a leading candidate for plasma-facing components (PFCs) in ...

A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types ...

CertiK has explained that blockchain technology has long relied on smart contracts as its backbone, automating agreements ...

Today’s enterprises store valuable business intelligence in documents, including Word files, PDFs, spreadsheets, and physical records. By extracting valuable insights from documents, enterprise ...

Letting probabilistic AI models autonomously operate inside production networks creates real safety and auditability issues, and that core security validation still needs deterministic guardrails. And ...