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Rising Prison Numbers and Overcrowding Challenges Across the EU

by News Editor

As we delve into the daunting statistics regarding prison populations in Europe, it’s clear that the issue is both significant and complex. In 2023, the European Union witnessed an increase in its prison population by 3.2%, with the total reaching approximately 499,000 inmates. This brings the rate to 111 prisoners per 100,000 inhabitants, marking a slight escalation from the previous year.

Historically, the year 2012 recorded the highest number of prisoners at 553,000. Between 2017 and 2019, there was stability, followed by a notable decrease in 2020. However, the trend has reversed, with a cumulative increase of 7.7% from 2021 to 2023.

Number of prisioners, 2022-2023 (per 100 000 inhabitants). Bar chart. Link to full dataset below.

Notably, Poland, Hungary, and Czechia top the list with the highest prisoner rates, while Finland, the Netherlands, and Slovenia showcase the lowest rates, reflecting diverse penal policies and social dynamics across the continent.

Cyprus faces a unique challenge with a staggering prison occupancy rate of 226.2%. This is significantly higher than countries like France and Italy, which also experience overcrowding issues. On a brighter note, Estonia, Luxembourg, and Bulgaria maintain the lowest occupancy rates, ensuring better living conditions for inmates.

These figures highlight critical issues that demand immediate attention and innovative solutions to ease the strain on Europe’s prison systems.

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

by News Editor

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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