Search results for: 'pull dc ai'

Disruptive AI models are increasingly challenging traditional assumptions about “classic” cloud data centers. As training clusters scale up to thousands of accelerators and consume tens of megawatts of power, the conventional CPU-centric, air-cooled, monolithic server model is no longer sustainable. This research study explores the megatrend of AI ...

The circular economy approach involves initiatives across material and product life cycles, supporting sustainable resource consumption and waste prevention by assimilating high-tech solutions. The global resource management sector is transitioning toward greater digital technology adoption using disruptive smart technologies and platform-based sol...

The impact of economic growth, rapid industrialization, and urbanization is directly related to the rise in emissions of toxic and harmful pollutants, often related to human activity. Air pollution can affect both human and environmental health, causing diseases and atmospheric phenomena such as smog and acid rain. Pollutants (solid particles, liqu...

This edition of the Industrial Bioprocessing TOE features information on synthesis of cellulosic ethanol via integrated enzyme technology, AI-driven insect farming with automated vertical stacks, enhanced selectivity and permeability through osmosis for water filtration, lithium-ion battery recycling using ultrasonic oil-water emulsions, among othe...