How companies are freeing themselves of legacy data systems to power AI agents that deliver trusted, autonomous action.

This interview explores how digitalization, regulation, hydrogen adoption, and evolving customer needs are shaping the future of industrial gas analysis.

Most US intelligence services suspect water attacks as work of Iranian affiliated hackers. Trump dismisses that analysis and ...

Artificial intelligence (AI)-based prediction models, including risk scoring systems and decision support systems, are being ...

This is why oxygen measurement appears in so many applications. In natural gas pipelines, oxygen can indicate air ingress or ...

Tracing how adversaries acquired yesterday’s technology should be the beginning, not the end, of technical exploitation.

InGaAs SWIR cameras support semiconductor manufacturing and failure analysis by detecting cracks and bonded interface defects ...

Validate AI data outputs using three essential checks to stop silent errors. Arithmetic and contextual accuracy tests ensure ...

This valuable study describes a simple and robust approach for estimating information-limiting noise by splitting neural populations and comparing estimator values. The authors report more accurate ...

Discover how marginal analysis helps businesses weigh incremental costs and benefits to achieve profit maximization in ...

Explore the fundamentals of technical analysis, utilizing historical market data to predict trends, along with the essential ...

Learn how Bloomberg's APIs connect pre-trade analytics, liquidity discovery and execution into a single decision-making process.