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Cyprus Develops First AI-Powered Tree Carbon Inventory

Researchers at The Cyprus Institute have developed the country’s first nationwide tree-level inventory of biomass and carbon storage, providing a new tool to help monitor forests, assess wildfire damage and support climate adaptation.

Combining artificial intelligence with field data collected by the Cyprus Department of Forests, the project enables scientists to track changes in tree biomass and carbon stocks over time with far greater accuracy than previous methods. The inventory is expected to support evidence-based forest management, post-fire restoration and long-term environmental planning.

Looking Beyond Forests

One of the study’s key findings is that nearly one-third of Cyprus’ tree cover is located outside traditional forest areas. The inventory identified Athalassa National Forest Park in Aglantzia as an example of how urban green spaces can make a significant contribution to carbon storage and biodiversity.

The findings highlight the role of individual trees and urban vegetation in strengthening climate resilience, particularly in densely populated areas.

Measuring The Impact Of Wildfires

The research also illustrates the growing impact of climate-related pressures on Cyprus’ forests. Since 2014, wildfires have affected more than 360,000 trees, resulting in the loss of over 300,000 tonnes of biomass and around 140,000 tonnes of stored carbon.

According to the researchers, the new inventory captures losses that were previously difficult to quantify, particularly those caused by smaller or isolated wildfires.

Supporting Climate Policy

Beyond documenting current conditions, the inventory establishes a framework for continuously monitoring Cyprus’ forests and tree resources. The data can help evaluate restoration projects, measure the effects of drought and wildfires, and support future climate and environmental policies.

Anna Zenonos, a Graduate Research Fellow at the Climate and Atmosphere Research Centre (CARE-C) and the study’s lead author, said the new methodology makes it possible to monitor Cyprus’ trees with a level of detail that was previously unavailable. She added that reliable environmental data is becoming increasingly important as droughts and wildfires continue to intensify across the Eastern Mediterranean.

Apple Ties Its Mac Strategy To The AI Boom With New Mac Mini And Mac Studio Models

Apple has updated its Mac Mini and Mac Studio desktops with new processors and higher AI performance as developers increasingly use Macs for local AI workloads. The new models are scheduled to ship on Sept. 22, weeks before the company is expected to introduce its next iPhone generation.

Macs Target Local AI Development

Developers and researchers are increasingly using Apple computers to run AI models locally, reducing reliance on cloud infrastructure. Mac Mini systems can support AI agent software, while Mac Studio machines are designed for more demanding model training and deployment workloads.

Apple said its processors combine Neural Engines for machine learning with unified memory architecture designed to reduce performance bottlenecks. The company says the combination allows users to run and fine-tune larger AI models directly on their devices.

Mac Mini Gets First M6 Generation Chip

The updated Mac Mini can be configured with Apple’s M6 and M5 Pro processors, making it the company’s first computer with an M6-generation chip. The M6 is manufactured by Taiwan Semiconductor Manufacturing Co. (TSMC) using a 2-nanometer process.

The previous Mac Mini lineup offered M4, M4 Pro and M4 Max processors. Apple said the M5 Pro version of the new model can process large language model prompts 8.5 times faster than earlier Mac Mini Pro configurations.

Pricing has also increased. The new Mac Mini starts at $899, $100 more than the previous model, after Apple raised the price from $599 earlier this summer, citing higher memory costs.

Mac Studio Targets Larger AI Workloads

Mac Studio remains Apple’s highest-performance desktop without an integrated display, following the discontinuation of the Mac Pro earlier this year. New configurations include the M5 Max, which Apple says can run large language models nearly four times faster than the previous generation.

The M5 Ultra is available for users with heavier computing requirements. Apple says multiple Mac Studio systems using the Ultra chip can be connected to pool memory and run models with up to a trillion parameters.

Mac Studio with the M5 Max starts at $2,499, unchanged from the previous generation. The M5 Ultra configuration starts at $5,499, compared with at least $5,299 for the previous model using the M3 Ultra.

Apple Expands Its Local AI Hardware

The new desktops give developers and researchers more computing capacity for running AI models locally. Apple is also increasing the role of its custom processors and unified memory architecture in handling AI workloads without relying entirely on cloud-based computing.

Both Mac Mini and Mac Studio models are available for presale and are scheduled to begin shipping on Sept. 22.

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