No single standard addresses every security risk. The core challenge for AI data center operators is the lack of integration ...

Data is the foundation of every industry today, powering strategic decision-making, operational efficiency and customer engagement. However, as businesses accumulate vast amounts of data, managing it ...

The rapid rise of generative artificial intelligence like OpenAI’s GPT-4 has brought remarkable advancements, but it also presents significant risks. One of the most pressing issues is model collapse, ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Model-based systems engineering (MBSE) has been around for a while, but it continues to gain ground in engineering projects ...

Uptime Institute predicts the data center industry in 2025 will face pressure over resource consumption, grid integration challenges, and AI infrastructure requirements. Data centers this year will ...

Yusuf Roohani, PhD, machine learning group lead at the Arc Institute, is among a team of researchers training artificial intelligence (AI) models with transcriptome data to predict how cell gene ...

The Beeck Center for Social Impact + Innovation at Georgetown University identified six archetypes of chief data officer ...