AI in engineering: Engineering teams are adopting AI tools to speed up design iteration, detect system issues earlier, and scale internal expertise without replacing core CAD and simulation systems.

Duncan Bain explains why predictive maintenance remains central to the AI agenda for the manufacturing sector. Despite the rapid rise of generative AI and an increasing interest in autonomous, agentic ...

Predictive maintenance using richer vehicle data helps fleets prevent breakdowns and reduce costly unplanned downtime. Software-defined vehicles enable remote diagnostics, over-the-air updates, and ...

Blake Moret, CEO, Rockwell Automation, opened the 2025 Automation Fair by stressing that manufacturers are using automation to move toward autonomy, machine learning and AI strategies. In essence, ...

As Bosch moves to acquire Uptake Technologies, AI-powered predictive maintenance takes center stage—helping fleets reduce downtime, cut costs, and maximize uptime through real-time vehicle health ...

Predictive maintenance reduces airline costs and delays, improving aircraft availability and operational efficiency. Digital twins provide a virtual view of aircraft health, enabling remote monitoring ...

Health Index (HI) construction and evaluation in production pipeline code. Sequence models (e.g., LSTM/TCN/Transformer variants) with controlled baseline comparison. Richer degradation trajectory ...

Abstract: Predictive maintenance is a crucial aspect of Industry 4.0, ensuring proactive identification and mitigation of equipment failure. The application of anomaly detection methods can ...

ABSTRACT: This paper explores the integration of Artificial Intelligence (AI) into renewable energy infrastructure, with a particular focus on AI-driven predictive maintenance techniques. As renewable ...

The world’s five largest companies lose $1.4 trillion annually to unplanned downtime, representing around 11% of total revenue. Every unplanned machinery stoppage translates into lost production, ...