Data centers are crucial for storing, processing, and distributing vast amounts of data in the modern era, as internet-based data-transfer services are essential in our daily work and personal lives.

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

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

The DNA foundation model Evo 2 has been published in the journal Nature. Trained on the DNA of over 100,000 species across the entire tree of life, Evo 2 can identify patterns in gene sequences across ...

The end goal of database design is to be able to transform a logical data model into an actual physical database. A logical data model is required before you can even begin to design a physical ...

Many engineering teams still rely on architecture optimized for transactional apps, not for AI systems that mix structured and unstructured data and live event streams. This legacy architecture has ...

People have always looked for patterns to explain the universe and to predict the future. “Red sky at night, sailor’s delight. Red sky in morning, sailor’s warning” is an adage predicting the weather.

Development and Validation of Data-Driven Estimates of Recurrence Risk and Treatment Benefit in Early Breast Cancer In the article that accompanies this editorial, Weber et al 7 use data from two ...

Stream Data Centers' Eric Closson explains the importance of grounding data center design and development in reality.