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Politics - Computer Science - 09.12.2021 
The identification of political ads on Facebook often goes wrong
Researchers at KU Leuven (belonging to the imec-DistriNet research group) and New York University (Cybersecurity for Democracy) have demonstrated that on a global scale, Facebook misjudges up to 83 percent of ads that they or the researchers deemed political. In some cases, Facebook does not recognise them as political ads, while they often wrongfully label non-political ads as political.
Life Sciences - Computer Science - 13.09.2021
Computer Science - 12.05.2021 
Several vulnerabilities in Wi-Fi security
New research has identified various flaws in the security of Wi-Fi connections. Attackers could take advantages of these weaknesses to get access to private data. New security updates were announced yesterday. New research has identified various flaws in the security of Wi-Fi connections. Attackers could take advantages of these weaknesses to get access to private data.
Computer Science - Health - 05.03.2021
Computer Science
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Researchers at KU Leuven (belonging to the imec-DistriNet research group) and New York University (Cybersecurity for Democracy) have demonstrated that on a global scale, Facebook misjudges up to 83 percent of ads that they or the researchers deemed political. In some cases, Facebook does not recognise them as political ads, while they often wrongfully label non-political ads as political.
AI standards in biomedical research
Guidelines published , to ensure quality and reproducibility of predictive methods An international group of scientists, including the ELIXIR Machine Learning Focus Group , developed a set of guidelines for better reporting standards for AI methods aiming to classify biomedical data. Examples of such methods are machine learning predictors that try to identify, based on genetic and other data, whether someone suffers from a particular rare disease or predictive methods that aim to identify the drug to which a cancer patient would respond best.
Guidelines published , to ensure quality and reproducibility of predictive methods An international group of scientists, including the ELIXIR Machine Learning Focus Group , developed a set of guidelines for better reporting standards for AI methods aiming to classify biomedical data. Examples of such methods are machine learning predictors that try to identify, based on genetic and other data, whether someone suffers from a particular rare disease or predictive methods that aim to identify the drug to which a cancer patient would respond best.
New research has identified various flaws in the security of Wi-Fi connections. Attackers could take advantages of these weaknesses to get access to private data. New security updates were announced yesterday. New research has identified various flaws in the security of Wi-Fi connections. Attackers could take advantages of these weaknesses to get access to private data.
Cardiology prepared for the fourth dimension
What if heart specialists could simulate the fitting of a new heart valve in 4D before an operation? 4D CT scanners add the dimension of time to three-dimensional images and visualise the movement of the heart in detail.
What if heart specialists could simulate the fitting of a new heart valve in 4D before an operation? 4D CT scanners add the dimension of time to three-dimensional images and visualise the movement of the heart in detail.
