carbon capture
6 articles about carbon capture in AI news
Living Architecture: AI-Designed Cyanobacteria Concrete That Repairs Itself and Captures Carbon
Researchers have developed a revolutionary living building material using cyanobacteria that captures atmospheric CO₂ and self-reinforces over time. This bio-concrete, validated by 400+ days of laboratory data, represents a paradigm shift toward regenerative construction.
China's Mountain-Scale Solar Farms Redefine Renewable Energy Ambition
Massive solar installations covering entire hillsides in rural Guizhou demonstrate China's unprecedented scale in renewable energy infrastructure, transforming barren landscapes into terawatt-hour electricity generators.
Amazon's $11 Billion AI Power Play: Inside the Indiana Data Center That's Reshaping Tech Infrastructure
Amazon is building an $11 billion AI data center campus in Indiana that will draw 2.2 gigawatts of power—enough for 1.7 million homes. This massive investment highlights the escalating infrastructure demands of artificial intelligence and the growing geographic shift in tech's physical footprint.
The Two-Year AI Leap: How Model Efficiency Is Accelerating Beyond Moore's Law
A viral comparison reveals AI models achieving dramatically better results with identical parameter counts in just two years, suggesting efficiency improvements are outpacing hardware scaling. This development challenges assumptions about AI progress and has significant implications for deployment costs and capabilities.
From Megafactories to Micro-Ateliers: How Embodied AI Will Redefine Luxury Manufacturing
Embodied AI reaching critical capability thresholds will trigger a phase transition in manufacturing geography. For luxury, this enables demand-proximal micro-manufacturing, hyper-personalization, and resilient, sustainable supply chains, fundamentally restructuring production logic.
Alibaba's Qwen 3.5 Series Redefines AI Efficiency: Smaller Models, Smarter Performance
Alibaba's new Qwen 3.5 model series challenges Western AI dominance with four specialized models that deliver superior performance at dramatically lower computational costs. The series targets OpenAI's GPT-5 mini and Anthropic's Claude Sonnet 4.5 while proving smaller architectures can outperform larger predecessors.