Amidst the whirlwind of spring events, a few persistent AI vendors got my attention. How? By returning my email volleys with savvy responses and fresh data. The latest in enterprise AI? Context ...

In today's digital-first world, data is growing at a staggering rate. Every click, transaction, and interaction adds to the ...

In the sophisticated world of cybersecurity threats, fileless malware has emerged as one of the most elusive and dangerous forms of malicious software. This adv ...

Fortinet® (NASDAQ: FTNT), the global cybersecurity leader driving the convergence of networking and security, today announced ...

The term dementia is used to describe various debilitating neurological disorders characterized by a progressive loss of ...

What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

We're a long way from having extensive powers of crime prediction, but that's not to say that it makes no sense to consider ...

SEE: How to Measure Data Quality (TechRepublic) Popular predictive analytics tools Tools can range from no-code platforms and data lakes to machine learning algorithm libraries.

Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms.

From your laptop to a loud GPU cluster, AI prompts are a mysterious energy drain. Our columnist attempted to trace their journey—and their impact.

Utilities are cautiously embracing AI for predictive maintenance and fieldwork support as data centers and climate change strain the energy grid.