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 ...

U.S. food manufacturers face a lot of challenges today. They must produce high-quality food products while using fewer ...

Effective AI in manufacturing requires three essential elements: deep domain knowledge, reliable data and clear objectives.

Drug Substance manufacturing is a critical component of pharmaceutical production, requiring precise processes, rigorous quality control, and innovative solutions to overcome various challenges. From ...

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

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 ...

Recent advances in subcutaneous delivery methods now enable patient self-delivery of monoclonal antibody (mAb) therapies. Subcutaneous therapies often require concentrations around 100 to 200 mg/mL.