7 articles tagged with #circular-economy. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.
Security Matters (SMX) stock surged 4.51% following the launch of its circular plastics platform, which features blockchain-based tracking of recycled materials, digital product passports, and certification tools. The platform addresses growing demand for supply chain transparency and sustainable material verification in the plastics industry.
Researchers developed a hybrid CNN-LSTM deep learning model for coffee supply chain demand forecasting, achieving 90% accuracy and outperforming benchmarks by 12-30%. This forecasting feeds a multi-objective optimization system that simultaneously minimizes costs and emissions while maximizing product freshness in circular supply chains, demonstrating that sustainability policies can reduce emissions by 22.4% with minimal cost overhead.
A family farm on Madeira Island has implemented an innovative sustainability model by using waste heat from Bitcoin mining operations to warm agricultural greenhouses, reducing energy costs. While this demonstrates practical applications for mining heat byproducts and environmental efficiency, the venture carries inherent financial risks tied to cryptocurrency volatility and mining profitability.
Researchers present a machine learning framework that predicts functional performance and material fatigue for remanufactured tools in circular economy settings, using LSTM neural networks combined with finite-element stress analysis to assess whether returned products can safely re-enter production.
Researchers have developed CEON (Circular Economy Ontology Network), a semantic framework designed to improve information sharing across industries to promote circular economy practices. The ontology addresses the challenge of enabling cross-sector communication along product life cycles in construction, electronics, and textiles, facilitating resource reuse and recycling strategies.
A grassroots movement centered on repair, sharing, and rejecting disposable consumer culture is gaining momentum through initiatives like Repair Cafes, the Buy Nothing Project, and tool libraries. These initiatives signal a fundamental shift in consumer behavior away from mass-produced goods, though advocates acknowledge systemic change requires policy intervention beyond community-level efforts.
Google has integrated AI-powered tools into its Search and Shopping platforms to help users discover second-hand and vintage items more effectively. The feature leverages machine learning to surface thrift store finds and vintage goods, making it easier for consumers to locate quality used products across online and physical retailers.
