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Limassol Begins €9.2 Million Water Network Upgrade

Limassol has launched a €9.2 million project to replace around 100 kilometres of ageing water pipelines, to improve water quality, reduce leaks and lower maintenance costs.

Funded through the EU-co-financed THALIA 2021-2027 Cohesion Programme, the project will modernise the city’s water infrastructure and serve around 40,000 residents across central Limassol.

Two-Year Infrastructure Upgrade

Speaking at the launch ceremony, Limassol District Local Government Organisation (EOA) President Yiannis Tsouloftas said the investment represents an important step in upgrading essential public infrastructure.

“This project modernises and strengthens our water supply network. It will improve residents’ daily lives while supporting Limassol’s continued development,” he said.

Construction is expected to take 24 months, with completion scheduled for summer 2028.

Coverage Across Central Limassol

The new network will extend for approximately 100 kilometres, covering 220 streets across an area of about 2.6 square kilometres.

Works include the installation of new pipelines using modern materials, excavation and backfilling, as well as the restoration of roads and pavements once construction is complete.

The upgrade will cover the Enaerios area, Makarios III Avenue, the Garillis river corridor, the Tessera Fanaria neighbourhood, Pentadromos and Anexartisias Street before reaching the seafront.

Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.

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