Abstract: Control barrier functions (CBFs) are a popular approach to design feedback laws that achieve safety guarantees for nonlinear systems. The CBF-based controller design relies on the ...

While Microsoft Azure makes up ‘the bulk’ of Unilever’s underlying infrastructure, Google claims it is providing the ‘backbone’ as hyperscalers work with the all-cloud multinational on its agentic AI ...

A blue-and-gray 3D representation of a strand of DNA with other strands floating in the background. Google has officially released its AlphaGenome machine learning model, which can predict the ...

What if your AI agents truly understood your business—your data, your workflows, your goals—and IT could still govern them at scale? That’s the promise of Adaptive Intelligence, and it’s now within ...

Abstract: Decision tree boosting algorithms, such as XGBoost, have demonstrated superior predictive performance on tabular data for supervised learning compared to neural networks. However, recent ...