AI workloads are pushing traditional datacentre management to its limits. Modern DCIM is now essential, using predictive ...

Abstract: This article presents a distributed model predictive control algorithm for a scenario of spacecraft formation flying, namely, spacecraft platooning in a leader–follower formation. This ...

Abstract: This paper investigates the issue of event-triggered distributed model predictive control for coupled nonlinear systems with additive disturbances. Specifically, this paper proposes two ...

Explore how organoids are unlocking new possibilities in modern drug discovery by improving disease modelling within ...

Data center load shifting is an effective demand flexibility strategy to minimize peak demand for data centers through aggregate conservation. Last November, CNBC reported that data centers alone are ...

Buildings may be getting smarter, but too many control rooms are still anchored to yesterday’s technology, such as on‑site ...

Utilities and power generation companies are bolstering operational efficiency and plant reliability by implementing advanced analytics and artificial intelligence (AI)–driven predictive maintenance ...

Your data science teams want Kubeflow for its pipeline orchestration, metadata tracking, and training operators, so you build ...

Image courtesy by QUE.com In the current economic landscape, Business is no longer just about the exchange of goods and ...

Organizations that embrace adaptive risk management, quantum preparedness, AI governance, and resilience-by-design will be able to succeed in the Acceleration Era.

AI inference gateways offer key growth opportunities fueled by industrial automation, smart factory deployment, and real-time ...