Automation transforms packaging operations, but people still configure systems, interpret data, resolve faults, and drive improvement.

Smart packaging is often referred to in the context of Industry 4.0 as manufacturers take advantage of the new integration of digital capabilities with artificial intelligence, machine learning, ...

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 ...

The motion control market is expanding from $16 billion in 2024 to a projected $23 billion by 2031, driven by AI-powered adaptive systems and smart conveyance technology that automatically optimize ...

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 ...

The market opportunities in intralogistics automation are driven by increased demand for operational efficiency, especially in e-commerce and retail, due to fast order fulfillment needs and rising ...

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 ...