Devdiscourse

Food industry turns to machine learning to boost efficiency, cut waste and improve quality

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
Purdue University

In Print: ‘An Introduction to Optimization: With Applications to Machine Learning’

Purdue faculty dedicate countless hours to exploring the frontiers of their respective fields, pushing the boundaries of knowledge and contributing to the ever-evolving landscape of academia. To ...
Devdiscourse

Smart manufacturing moves beyond Industry 4.0, forcing a rethink of industrial strategy

Manufacturing technologies have been the first domain to experience this transformation. The review documents how artificial ...
insideHPC

MLOps Brings Best Practices to Developing Machine Learning

In this special guest feature, Henrik Skogström, Head of Growth at Valohai, discusses how MLOps (machine learning operations) is becoming increasingly relevant as it is the next step in scaling and ...
YouTube on MSN

Adam M Root: How to use machine learning to reduce costs and boost output

Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using cross-functional pods that helped a client save $300M by accurately predicting demand.
Semiconductor Engineering

Shift Left Strategy For Semiconductor Production Testing

In the fast-paced world of semiconductor manufacturing, achieving higher yields and reducing costs are constant challenges. Ideally, yield should only be impacted by unavoidable defects when ...
InfoQ

Susan Shu Chang on Bridging Foundational Machine Learning and Generative AI

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...