Traditionally, drug discovery relied heavily on trial and error, with long timelines and high costs. The introduction of ...

Companies that master basic data governance will be best positioned to extract true value from their information assets while minimizing costs and risks.

In today’s digital systems, vast volumes of information are produced daily. However, simply collecting large amounts of data is not enough. That data must be reliable and well-structured to serve any ...

Brain-inspired chips can slash AI energy use by as much as 100-fold, but the road to mainstream deployment is far from guaranteed.

The challenge lies not in the accumulation of data, but in the effective extraction of actionable intelligence. Artificial Intelligence (AI) serves as the transformative tool, capable of converting ...

Digital data that has been certified by a respected institution is valuable and can be saved or transmitted over the internet. However, the issues are ensuring the security and reliability of stored ...

We present the results of two controlled experiments to compare ER and UML class diagrams, in order to find out which of the models provides better support during the comprehension of data models. The ...