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Fero Labs Redefines Trust in AI for Industrial Live Predictions

Gary Mintchell

I wrote about the company last August— A Better Way to Control Process Quality. This advanced feature for cross-functional teams increases trust in AI predictions by disclosing real-time text explanations about abnormal factors influencing their live production. Worst of all was the concept of “trust in AI predictions.”

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How artificial intelligence and machine learning are changing process manufacturing

Control Engineering

Artificial intelligence and machine learning (AI/ML) insights Process optimization is key: The foremost challenge in process manufacturing is optimizing production, cost and efficiency. The post How artificial intelligence and machine learning are changing process manufacturing appeared first on Control Engineering.

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Beyond ChatGPT

Gary Mintchell

I listened to Episode 5 today with AI computer scientist Yejin Choi. She’s a computer science professor at the University of Washington, senior research director at the Allen Institute for AI, and the recipient of a MacArthur Fellowship. Try thinking making AI useful. But this makes the science of the query very important.

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Leveraging AI For Enhanced Quality Control In Manufacturing

Metrology

With advancements in artificial intelligence (AI) and machine learning (ML), manufacturers are now embracing innovative solutions to enhance quality control processes. AI is revolutionizing quality control in manufacturing, improving efficiency, accuracy, and overall product quality.

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How AI, ML and neural networks differ and work together

Control Engineering

Artificial intelligence (AI) and machine learning (ML) can make decision in place of a human at a higher level. Using AI/ML can provide new insights and give companies the tools to help facilities run more efficiently. AI and Machine Learning Insights. Artificial intelligence (AI) definition.

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Edge Orchestration Leader ZEDEDA Secures $72M in Growth Capital

Gary Mintchell

I see that it is using some Gartner data to tie its fortunes to AI in the form of ML (machine learning). Simultaneously, the demand for AI and machine learning is also exploding. One of those specialty niche areas of modern compute architecture is technology to handle special needs of edge computing.

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Control Engineering research: Edge computing, AI

Control Engineering

Learning Objectives Understand Control Engineering research on use of edge controllers, artificial intelligence and machine learning for automation, controls and instrumentation. Computing power, networking capabilities and reliability are the leading reasons respondents are using AI with edge computing.