Artificial Intelligence Articles

Andreas Rekdal

Updated on February 24, 2025

Spatial computing is an umbrella term for experiences that combine elements of digital and physical environments. Here’s how spatial computing works, examples, applications, a brief history of the field and how it could progress in the future.

Ronn Torossian

Updated on February 24, 2025

Generative AI boasts capabilities that make it ideally suited to shaping marketing messages. Our expert explains how to harness its power.

JB Baker

Updated on February 24, 2025

The Stargate Project has the potential to revolutionize AI infrastructure in the US, but its mission must be built sustainably.

Yukai Tu

Updated on February 21, 2025

AI agents are poised to be the next big thing in tech. First, though, we need to make sure the ecosystem is ready for them.

Ellen Glover

Updated on February 19, 2025

Distillation condenses large AI models into smaller, more efficient ones — cutting down costs and complexity while preserving all the advanced capabilities.

Joe Procopio

Updated on February 19, 2025

In the post-AI world, either integrate with artificial intelligence or skip it altogether.

Thulasi Rangan Jayakumar

Updated on February 19, 2025

Anomaly detection involves finding deviations from expected patterns in order to proactively safeguard systems. Our expert explains how it works.

Ellen Glover

Updated on February 18, 2025

Foundation models are large language models pre-trained on massive volumes of data that can be tailored to fit various tasks. Here’s how they work, applications, use cases, examples, how they differ from traditional models and lingering challenges.

Denver Naidoo

Updated on February 18, 2025

Here are five ways our expert predicts agentic AI to shape our professional lives in the coming year.

Jenny Lyons-Cunha

Updated on February 10, 2025

AI washing is a marketing tactic where companies misrepresent their AI capabilities to gain attention, customers and funding. By misleading users and inflating expectations, this practice undermines trust in AI, hindering true innovation.