Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...

Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

The 2025 SANS SOC Survey shows AI use is rising, but many SOCs lack integration, customization, and clear validation ...

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...

Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using ...

Saurabh Misra work spans machine learning, large-scale systems, and software performance, with a consistent focus on building faster, more efficient, and more sustainable technology.

The motorcycle industry has a bit of a problem right now: a lack of new riders. Can the Honda CB650R bridge the gap with its ...

What will be the next blockbuster research to emerge from Princeton’s labs? No one can say for sure, but history tells us ...

We've all been there, protecting our ears—the school play in the gym or community hall, where sound is distorted due to ...

If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...

Moises Caicedo was a machine for Chelsea in their defeat to Aston Villa last night, particularly in the first 60 minutes, ...