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Record-High in Cyprus Real Estate Market Reaches €5.71bn: A Look into Quality and Market Dynamics

In an impressive stride, the Cyprus real estate market reached a new high of €5.71 billion in 2024, as highlighted in a comprehensive report by PwC Cyprus. This achievement marks a 1% uptick from the previous year, signaling intriguing shifts in market dynamics.

A notable observation from the report is a slight decline in transaction numbers, down 3% to 23,900 transactions. Yet, stability remains a hallmark of Cyprus’s market amidst global challenges.

Nicosia stands out with a 4% increase in transaction volume, while Limassol retains supremacy in transaction value, contributing to 44% of the market share.

The market’s backbone continues to be residential properties, accumulating €3.8 billion or 67% of the market’s value, a sector further emphasized in Cyprus Business Clubs Guide.

Commercial real estate is also on the rise, notably in Limassol and Nicosia, counterbalancing declines elsewhere.

Still, the demand from international buyers sees a 10% dip, though areas like Nicosia, Famagusta, and Larnaca show growth in foreign interest.

The luxury segment with properties over €1.5 million contributes €500 million, showing that exclusivity still finds a place with 188 high-end property transactions.

Meanwhile, a 2% reduction in building permits juxtaposed with a rise in project value suggests a pivot towards quality enhancements.

As Philippos Soseilos, CEO of PwC Cyprus, states, “Strategic reform under the Vision 2035 framework is pivotal for navigating future advancements.”

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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The Future Forbes Realty Global Properties
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Aretilaw firm

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