Cutting-edge robotics, AI-driven vision systems and modular tooling are helping cannabis packaging automation to meet unique regulatory, product and operational challenges in the rapidly evolving ...
Research conducted at the University of Vaasa paves the way for smart packaging that indicates product condition through color-changing printing inks. Doctoral researcher Jari Isohanni investigated ...
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Human factors in automated packaging lines

Automation transforms packaging operations, but people still configure systems, interpret data, resolve faults, and drive improvement.
Automated machine learning promises to speed up the process of developing AI models and make the technology more accessible. Machine-learning researchers make many decisions when designing new models.
Machine learning is a rapidly growing field with endless potential applications. In the next few years, we will see machine learning transform many industries, including manufacturing, retail and ...
The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...