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Frontier research (ERC)

A green digital currency built on trust

From their colossal carbon footprint to their expensive and complex application, cryptocurrencies like bitcoin are marred by numerous problems. The EU-funded AT2 project is taking a new, minimalist approach to decentralised payments. The result is a new class of blockchain algorithms that could offer citizens a cleaner, simpler payment system.

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Where our senses meet technology

We interact with technology on a daily basis, but almost entirely through our eyes and ears. The EU-funded SenseX project has unveiled a multisensory experience design. This new approach offers citizens technology that incorporates all their senses.

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Getting the health benefits of fasting without the diet

Our modern high-calorie, low-activity lifestyle is wreaking havoc on our bodies, provoking deadly diseases. The EU-funded NutrientSensingVivo project provides a better understanding of how the availability of food changes our metabolism. This knowledge offers new ways to prevent cancer, improve health and extend citizens’ life expectancy.

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The supercool origins of water’s strange behaviour

At low temperatures and high pressures, water behaves strangely, becoming two distinct liquids. With a pioneering use of X-ray lasers, the EU-funded WATER project explored the behaviour of water in this liminal realm. The findings have potential to improve fuel cells and desalination technology, and may even aid the search for life on other planets.

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Seafloor study hints at hidden reservoir below a water-starved EU Member State

With land resources overstretched or polluted, humans are increasingly exploring offshore solutions to onshore problems such as a lack of clean drinking water. The EU-funded MARCAN project has created tools to better understand the characteristics of offshore groundwater which are not well understood. The work will help sustainably develop maritime resources for the benefit of European citizens.

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Artificial intelligence accelerates the hunt for cancer drivers

Identifying the specific genetic mutations that cause cancer has always been a challenge. The EU-funded NONCODRIVERS project offers a solution with a pioneering approach that applies machine learning based modelling to tumour data. This could lead to more personalised therapies that save the lives of thousands of citizens every year.

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