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 ...

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 ...

JPEG reversible data hiding (RDH) refers to covert communication technology to accurately extract secret data while also perfectly recovering the original JPEG image. With the development of cloud ...

A federal judge ruled Friday that the Department of Government Efficiency (DOGE) can continue to access sensitive data on millions of Americans at certain agencies, handing at least a temporary def… ...

The Department of Government Efficiency will retain access to computer systems and data at the Labor and Health and Human Services departments after a federal judge rejected a challenge from unions ...

With the rapid development of wind farm worldwide, monitoring the status of numerous wind turbines becomes the essential work. Abnormal data in wind power curve (WPC) are quite important for wind farm ...

Clean as you go, focusing on the data that matters for your specific AI applications. The Swiss Cheese Principle AI systems don't need perfect data—they need appropriate safeguards.

The block-length distribution (BLD) of polyamide and polyurethane copolymers was determined from mass spectrometry (MS) data. While nuclear magnetic resonance (NMR) traditionally determines the number ...