There's a fundamental shift in what's possible on the factory floor and it's being transformed by embedded AI, agentic ...

The partnership will see Purdue join the Rittal + Eplan Partner Network as a research partner with a focus on design of advancing smart manufacturing education and preparing students for the next ...

The data silos contained in disconnected manufacturing systems makes gaining an accurate understanding of day-to-day operations difficult. A Unified Namespace architecture is ...

Manufacturers must prioritize data foundations, workforce upskilling, and practical use cases for successful AI adoption.

While there has been significant support of digitization innovation, the manufacturing sector has been relatively slow to adopt digital technologies. This is problematic as digital ...

In today’s global economy, product research and development (R&D) has historically been concentrated in the U.S. and China. However, these efforts are beginning to decentralize and spread into new ...

Learning is a process much like manufacturing; initial mistakes can lead to new discoveries while an ability to adapt and change can lead to an improved end result. Miami University College of ...

Purdue University’s online smart manufacturing graduate certificate is aimed at men and women working full time in manufacturing, supply chain and information technology industries and businesses.

The dream of smart manufacturing is becoming a reality. For industry leaders, smart manufacturing is a path to accelerated production through close collaboration between designers and builders and a ...

Collaborative ecosystems play a crucial role in accelerating digital transformation initiatives and achieving better outcomes for manufacturers. In the context of smart manufacturing, organizations ...

The rise of artificial intelligence (AI) is accelerating the shift from conceptual smart manufacturing to real-world application, with Qisda chairman Peter Chen forecasting the debut of humanoid ...

In smart manufacturing, timely and accurate data flow is critical. Manufacturers seek to monitor every step in their process to ensure optimal results. However, significant challenges include ...