Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...

World models are the building blocks to the next era of physical AI -- and a future in which AI is more firmly rooted in our reality.

At CES 2026, the big maker of mobile chips teased details—and some benchmarks—for its new mainstream Snapdragon processor ...

The dual-track analysis confirms that the Jordanian Paradox is influenced by deeply rooted, intersecting institutional ...

Advanced computer models can quantify the impacts of climate change and other environmental challenges, providing deep ...

🔥 FAR leverages clean visual context without additional image-to-video fine-tuning: Unconditional pretraining on UCF-101 achieves state-of-the-art results in both video generation (context frame = 0) ...

Duffy has unveiled the design details for the first-of-its-kind advanced female crash test dummy, known as THOR-05F. This has been a long time in the making, as test dummies used for rating by ...

Abstract: This article presents a data-driven modeling methodology applied to a battery-based power system comprising a power converter and an electric machine. The proposed method captures the ...

Abstract: Big data applications such as Artificial Intelligence (AI) and Internet of Things (IoT) have in recent years been leading to many technological breakthroughs in system modeling. However, ...