UMITRON provides technology solutions for sustainable aquaculture, with a focus on making fish farming more efficient. Its core component, UMITRON CELL, integrates an AI algorithm called FAI, or Fish Appetite Index. By monitoring fish activity, the system helps optimize feeding decisions, reducing unnecessary feed use, lowering costs, and cutting losses.
Japan’s Kura Sushi has established an aquaculture company in response to declining wild fish catches. The company is introducing AIoT technologies, including smart feeding and AI-based quality assessment, to make fish farming more predictable. The effort aims to secure stable seafood supply and costs while showing how restaurant operators can participate directly in more sustainable aquaculture.
Amazon says its global data center operations used about 2.5 billion gallons of water last year, reportedly its first such disclosure. The figure arrives just after Seattle enacted a one-year data center moratorium backed by some Amazon employees. The disclosure highlights how AI infrastructure growth is turning water use, cooling systems, and local resource strain into public and regulatory flashpoints.
Ars Technica examines how hyperscalers and data center operators are facing pressure over water use. The issue centers on local water availability and quality as AI infrastructure expands. The provided excerpt says some operators are trying to address the problem, but does not specify companies, methods, or measured results.
Google is responding to criticism of AI data center water use with a framework for replenishment, transparency, and site-specific cooling choices. Its commitments include returning more water than data centers consume by 2030, avoiding water-intensive cooling in stressed regions, funding local infrastructure, using alternatives like reclaimed wastewater, and annual disclosures. The core tension remains that saving water can increase electricity demand.