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Google DeepMind opens its science AI models to 200 European researchers
Scientists will get tools such as AlphaFold 3 and WeatherNext, plus $3m in computing credits, through an EU scheme. Up to 200 European researchers will get direct access to Google's most advanced science AI models, plus $3 million in computing credits, Google said today. The offer comes from its
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We're powering European scientific discovery with advanced AI compute and frontier models.
Vice President, UK, Ireland and Sub-Saharan Africa, Google Cloud Google DeepMind and Google Cloud are providing up to 200 top European scientific researchers with direct access to our frontier models, together with $3 million in compute credits. Through this pledge, researchers will gain direct
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Google AI models: Google opens up latest AI models to 200 European researchers
Google has unveiled a groundbreaking initiative to provide 200 European researchers access to its cutting-edge AI models as part of the Resource for AI Science in Europe scheme. This access includes advanced tools like AlphaFold 3 and WeatherNext, aiming to boost scientific research capabilities.
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Google Gives 200 European Researchers Access to Advanced AI Models
Google DeepMind and Google Cloud will give up to 200 European researchers access to advanced AI tools and USD 3 million in computing credits to support scientific studies. Google DeepMind and Google Cloud are opening their advanced AI tools to up to 200 European researchers. The program also
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Google DeepMind and Google Cloud are granting up to 200 European researchers direct access to frontier AI models including AlphaFold 3 and WeatherNext, alongside $3 million in computing credits. The initiative, announced through the EU's RAISE program, aims to bridge the compute gap European scientists face and accelerate scientific innovation across the continent.

Google DeepMind and Google Cloud announced they will provide up to 200 European researchers with direct access to advanced AI models and $3 million in computing credits
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. The initiative was unveiled at an AI summit in Dublin and supports the European Union's Resource for AI Science in Europe (RAISE) program3
. This move aims to democratize AI access for scientists who often face significant compute gaps when conducting research2
.The frontier AI models available to European researchers include AlphaFold 3, which predicts protein structure prediction and other molecular structures, and WeatherNext, designed for weather forecasting
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. Researchers will also gain access to AlphaGenome for DNA analysis, AlphaEvolve for algorithm design, and AlphaEarth Foundations for mapping the planet from satellite data1
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. AlphaFold 3 was released in May 2024 through collaboration with Isomorphic Labs, Google DeepMind's sister company focused on drug discovery, and has been available for download by academics for non-commercial work since November 20241
.Maureen Costello, a Google Cloud vice president, stated that delivering vital compute power and state-of-the-art tools directly to research teams aims to accelerate scientific innovation and reinforce the continent's scientific competitiveness
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. The initiative specifically addresses the compute gap that European scientists sometimes face when conducting advanced AI compute research2
. Researchers will be equipped to tackle complex challenges faster, from predicting extreme weather patterns to mapping molecular structures2
.Related Stories
The European Commission launched the RAISE program in November 2025 as a virtual institute with €107 million in EU funding during its pilot phase, primarily allocated to train and attract AI researchers
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. The program also aims to secure computing time for scientists at the EU's planned AI gigafactories1
. In February 2025, the EU established a €20 billion fund to build up to five large AI computing centres1
. Researchers will be chosen by the European Commission under the RAISE scheme, though Google has not disclosed selection criteria, start dates, or how computing credits will be distributed among participants1
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.While the $3 million in computing credits could help smaller teams test ideas and start projects without upfront costs, questions remain about whether this funding will sustain long-term research needs
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. Advanced AI models require powerful computers, large datasets, and extended runtime, making research costly4
. The final benefit will depend on how credits are shared, their duration, and which services they cover—details Google has not yet disclosed4
. Once credits run out, teams may need additional grants or funding to continue their work, raising concerns about whether short-term access suffices for multi-year projects4
. The announcement comes amid rising demands for stricter AI regulation following recent security incidents3
.Summarized by
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