Artificial Intelligence

Blockchain technology is driving greater transparency, efficiency, and sustainability in the future of plastic waste management.

An open data-sharing platform provides information on PFAS alternatives for use in manufacturing.

AI is unlocking the secrets of sustainable bioplastics, paving the way for a greener future without sacrificing performance.

Matmerize revolutionizes polymer R&D with PolymRize, an AI-driven software enabling faster, sustainable material innovation and optimization.

IBM’s innovative polymer optical waveguide (PWG) technology replaces traditional electrical interconnects with optical connections, offering faster, energy-efficient performance.

Plastics Engineering has conducted interviews throughout 2024 to obtain experts’ points of view on different topics related to the plastics industry.

Machine learning (ML) is revolutionizing quality control in manufacturing, enabling faster, smarter, and more efficient processes. By addressing the limitations of traditional methods, ML enhances defect detection, waste reduction, and overall reliability.

Artificial Intelligence (AI) offers significant opportunities for small and medium-sized enterprises (SMEs). However, many SMEs face challenges, including limited resources, that slow AI adoption. This includes not only the plastics industry, but is a bottle neck across all fields.

Industry 6.0 represents the next evolution in manufacturing, driven by artificial intelligence (AI) and autonomous decision-making robots, known as infobots. The progression of injection molding technology and its integration with advanced robotics offer greater efficiency and sustainability.

For tooling digitalization, we already spoke about the basics and application milestones here the final chapter closing loop checking the role of knowledge management across the supply chain.