I4S 2/2025: The Future of Production with AI, Cobots and Virtual Worlds

Artificial intelligence, collaborative robotics, and virtual worlds, such as the metaverse, are fueling visions for new forms of industrial value creation. However, innovation alone is not enough—given that these technologies only develop their full potential through intelligent business models. How can companies efficiently integrate AI-supported automation, cobots and digital twins into their processes? What strategies can be used to wrest sustainable competitive advantages from the new technologies? In this issue, we shed light on how smart concepts transform innovations into real added value for companies and make them successful in the long term—whether in the development of recyclable products, the optimization of logistics with AI, or improved small-batch production thanks to collaborative robotics.

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I4S 1/2026: Applied AI Ethics in the Workplace A shared responsibility — from radiology and speech therapy to assembly

AI ethics in the workplace is everyone’s responsibility. It requires accountability from companies as a whole and conscious action from individuals—whether developers or users, managers or employees. Key issues revolve around ethical AI skills and questions of governance and employee representation. How will the world of work change, from radiology and speech therapy to assembly and quality control?

I4S 6/2025: Manufacturing in Space Infinite possibilities for industrial production?

Manufacturing is leaving Earth: what was once science fiction is becoming a strategic field for the future. Falling launch costs and new space industry players are enabling production and services under conditions that are impossible on Earth—from in-orbit maintenance to novel manufacturing processes in microgravity. This issue highlights opportunities, business models, and technological hurdles on the path to value chains in space.

I4S 5/2025: Artificial Intelligence and Digital Assistance How we can better support work

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I4S 3/2025: Digital Twin Innovative concepts for manufacturing, logistics, and learning environments

In the connected world, digital twins open up completely new possibilities: they virtually replicate physical systems, processes, or products. However, key challenges remain, including the collection of current product data. This issue of Industry 4.0 Science covers a wide range of topics, from the basic concept of the digital twin to its benefits in procurement and its use in supply chain management.