Data science and machine learning technologies have long been important for data analytics tasks and predictive analytical software. But with the wave of artificial intelligence and generative AI ...

Python might be the default for most AI and machine learning development, but what about other popular languages? Here’s what ...

Meta says it’s made improvements to its ad retrieval architecture, which could help businesses better reach their audiences.

Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy ...

Machine learning algorithms find patterns in human movement data collected by continuous monitoring, yielding insights that ...

One of the things that makes the main particle accelerator at the U.S. Department of Energy's Thomas Jefferson National Accelerator Facility unique is that it was the first linear accelerator to ...

The integration of AI, specifically machine learning, into physical security architecture shows promise in helping organizations better identify threats, improve response times and aid security ...

Today’s fast-paced online world is underlined by systems that allow it to move that fast. Whether it’s the latest advancements to transport systems, faster internet connections, or more real-time ...

In the mortgage industry, staying ahead of the curve is crucial to success—which can be a problem when the industry itself is filled with new daily twists and turns. Thankfully, the increasing use of ...

There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a ...

Data volumes continue to explode with the global “datasphere” – the total amount of data created, captured, replicated and consumed – growing at more than 20 percent a year to reach approximately 291 ...