Google Invests 1 billion Euros in Finnish Data Center to Drive AI Growth

The Google logo is seen on the Google house at CES 2024, an annual consumer electronics trade show, in Las Vegas, Nevada, US, January 10, 2024. (Reuters)
The Google logo is seen on the Google house at CES 2024, an annual consumer electronics trade show, in Las Vegas, Nevada, US, January 10, 2024. (Reuters)
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Google Invests 1 billion Euros in Finnish Data Center to Drive AI Growth

The Google logo is seen on the Google house at CES 2024, an annual consumer electronics trade show, in Las Vegas, Nevada, US, January 10, 2024. (Reuters)
The Google logo is seen on the Google house at CES 2024, an annual consumer electronics trade show, in Las Vegas, Nevada, US, January 10, 2024. (Reuters)

Alphabet-owned Google will invest a further 1 billion euros ($1.1 billion) into the expansion of its data center campus in Finland to drive its artificial intelligence (AI) business growth in Europe, it said in a statement on Monday.

In recent years, many data centers have been located in the Nordic countries because of the region's cooler climate, tax breaks and abundant availability of renewable power.

Finland's Nordic neighbours Sweden and Norway have recently grown increasingly critical of hosting them, with some industry experts arguing the Nordic countries should use their renewable power for products such as green steel that could leave higher surplus value in the countries.

But Finland's wind power capacity has increased so rapidly in recent years, by 75% to 5,677 megawatts in 2022 alone, that on windy days prices have plummeted to negative, industry statistics showed, Reuters reported.

Therefore there is still renewable capacity available for data centers such as Google's, which acquires wind power in Finland under long term contracts.

Analysts believe data centers' power consumption is set to massively increase due to the rapid growth in AI usage, which Google, too, cited for one of the reasons behind its investment decision, alongside its Hamina data center in Finland already operating with 97% carbon-free energy.

"Heat coming out of our Finnish data center will be re-routed to the district heating network in nearby Hamina, covering local households, schools and public service buildings," Google said in the statement. It added that it aimed to achieve net zero emissions across all of its operations and value chain by 2030.

In addition to its Finnish investment, the search and cloud giant announced last month it would build new data centers in the Netherlands and Belgium.



SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI
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SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

The Center of Excellence for Data Science and Artificial Intelligence at the Saudi Data and Artificial Intelligence Authority (SDAIA) and King Abdullah University of Science and Technology (KAUST) have introduced the MiniGPT-Med model.

The large multi-modal language model is designed to help doctors quickly and accurately diagnose medical radiology using artificial intelligence techniques.

Dr. Ahmed Alsinan, the Artificial Intelligence Advisor at the National Center for Artificial Intelligence and head of the scientific team at SDAIA, explained that the MiniGPT-Med model is capable of performing various tasks such as generating medical reports, answering medical visual questions, describing diseases, locating diseases, identifying diseases, and documenting medical descriptions based on entered medical images.

The model was trained on different medical images, including X-rays, CT scans, and MRIs.

The MiniGPT-Med model, derived from large-scale language models, is specifically tailored for medical applications and demonstrates significant versatility across different imaging methods, including X-rays, CT scans, and MRI. This enhances its utility in medical diagnosis.

Dr. Alsinan highlighted that the MiniGPT-Med model was developed collaboratively by artificial intelligence specialists from SDAIA and KAUST.

The model exhibits advanced performance in generating medical reports, achieving 19% higher efficiency than previous models. It serves as a general interface for radiology diagnosis, enhancing diagnostic efficiency across various medical imaging applications.