Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation.

The future of process automation and control combines the reliability of traditional DCS with the agility of cloud/IT ...

Machine learning is a subfield of artificial intelligence which gives computers an ability to learn from data in an iterative manner using different techniques. Our aim here being to learn and predict ...

Knowing the differences between machine vision systems and embedded vision systems can provide better understanding of when each should be used Understanding the different definitions and uses of ...

Somdip is the Chief Scientist of Nosh Technologies, an MIT Innovator Under 35 and a Professor of Practice (AI/ML) at the Woxsen University. As a leader in the artificial intelligence (AI) domain and a ...

How AI gave us ML, and, in turn, TinyML. How ML and TinyML are being used today. What may be on the horizon. Machine learning, a form of artificial intelligence, can trace its roots back to the late ...

In this motor-control demonstration, a Renesas engineer explains how machine learning can help the system detect unbalanced load conditions. In this motor-control demonstration, a Renesas engineer ...

Industrial computing is rapidly evolving, with new demands for platforms that balance performance, energy efficiency, and long-term reliability. AMD is meeting this challenge with the introduction of ...

Building on its growing momentum in the market for hybrid transactional/analytical database management systems, Oracle Corp. today added machine learning capabilities ...

Intel wrote a white paper in collaboration with Daedalean, a startup working on machine-learned solutions in the aviation space. Published this week, the report features a reference design for an AI ...