The concept of hybrid AI in PM, highlighting the connections between the various components of hybrid AI tools for PSE (left), the four selected PM topics (middle), and examples of problems (right) ...

The process industry, characterized by continuous, large-scale production, is vital to modern manufacturing. In recent years, integrating big data and artificial intelligence (AI) into process ...

Continue reading to explore the role of automation in semiconductor manufacturing, as well as its challenges, advantages, and future directions. Like in many industries, automation came in ...

Over the past decades, machine learning (ML) and artificial intelligence (AI) have experienced unprecedented growth. Meanwhile, advancements in sensing capabilities and computation resources have ...

CAD for CAM, or computer-aided design for computer-aided manufacturing, is all about bridging the gap between the designer’s vision and the manufacturer’s process. But from working with diverse CAD ...

Working with macrophages, Resolution Therapeutics faces a “unique” manufacturing challenge. They progressively lose cells as they move towards their final product. Damian Marshall, PhD, VP, analytics, ...

The transition to the 2nm technology node introduces unprecedented challenges in Automated Test Equipment (ATE) bring-up and manufacturability. As semiconductor devices scale down, the complexity of ...

Cell and gene therapies have brought great advances to the treatment of severe diseases previously deemed untreatable. Despite commercial and clinical success of AAV-based gene therapies (seven ...