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EU research addresses air pollution

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Poor air quality is a major health risk, causing lung diseases, cardiovascular diseases, and cancer. Air pollution also impacts the environment, affecting the quality of fresh water, soil, and ecosystems. 

In Europe we are certainly feeling the effects of air pollution. In 2010, more than 400 000 people are estimated to have died prematurely from air pollution in the EU and almost two-thirds of the EU land area was exposed to excess nutrient above safe levels. 

Beyond our health and our environment, poor air quality affects our economy. It increases medical costs and damages materials and buildings. The economic cost of the health impacts alone is estimated at EUR 330-940 billion (3-9% of EU GDP). 

Air pollution is a serious and growing problem around the world, especially in major cities such as Beijing, Bangkok, Mexico City and Los Angeles. There is compelling evidence at international level that air pollution has a serious impact on health. The World Health Organisation (WHO) now classifies air pollution and particulate matter as carcinogenic. 

As a consequence of the scale and effects of the problem, the demand for low emission products and production methods is about to increase dramatically. Developing technologies and processes to better monitor, analyse and tackle air pollution will therefore not only benefit our health and environment but also boost innovation and enhance European competitiveness. 

European research efforts can help tackle air pollution by, for example, investigating ways to improve clean public transport and transport infrastructure and developing better building insulation; technologies for domestic heating appliances and IT applications that help protect us against peak pollution. 

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Why have neural networks won the Nobel Prizes in Physics and Chemistry?

This year, Artificial Intelligence played a leading role in the Nobel Prizes for Physics and Chemistry. More specifically, it would be better to say machine learning and neural networks, thanks to whose development we now have systems ranging from image recognition to generative AI like Chat-GPT. In this article, Chiara Sabelli tells the story of the research that led physicist and biologist John J. Hopfield and computer scientist and neuroscientist Geoffrey Hinton to lay the foundations of current machine learning.

Image modified from the article "Biohybrid and Bioinspired Magnetic Microswimmers" https://onlinelibrary.wiley.com/doi/epdf/10.1002/smll.201704374

The 2024 Nobel Prize in Physics was awarded to John J. Hopfield, an American physicist and biologist from Princeton University, and to Geoffrey Hinton, a British computer scientist and neuroscientist from the University of Toronto, for utilizing tools from statistical physics in the development of methods underlying today's powerful machine learning technologies.