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A trio of researchers at the University of KU Leuven in Belgium has found that it is possible to confuse an AI system by printing a certain picture and holding it against their body as the AI system tries to identify them as a human being. Simen Thys, Wiebe Van Ranst and Toon Goedemé have written a paper describing their efforts and have uploaded it to the arXiv preprint server. They have also posted a video on YouTube showing what they accomplished.

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Psychologists release results of survey of 'Maria generation' kids

Psychologists from the Medical University of South Carolina have just published one of the largest post-disaster screening projects in U.S. history. The report, available online through JAMA Network Open, measured the magnitude of Hurricane Maria's impact on the mental health of children in Puerto Rico.

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Squishy robots can drop from a helicopter and land safely

Sometimes the toughest among us come in shapes that are round and just a little bit squishy.

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Cable firm Altice USA scoops up streaming news site Cheddar

Cable-broadband operator Altice USA said Tuesday it was acquiring the youth-focused streaming news group Cheddar for $200 million.

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Improving security as artificial intelligence moves to smartphones

Smartphones, security cameras, and speakers are just a few of the devices that will soon be running more artificial intelligence software to speed up image- and speech-processing tasks. A compression technique known as quantization is smoothing the way by making deep learning models smaller to reduce computation and energy costs. But smaller models, it turns out, make it easier for malicious attackers to trick an AI system into misbehaving—a concern as more complex decision-making is handed off to machines.

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Destructive plant pest thwarted by two native fungi

Cornell University-led research reports that two local fungal pathogens could potentially curb an invasive insect that has New York vineyard owners on edge.

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No assembly required: Researchers automate microrobotic designs

Assembling a microrobot used to require a pair of needle-nosed tweezers, a microscope, steady hands and at least eight hours. But now University of Toronto Engineering researchers have developed a method that requires only a 3-D printer and 20 minutes.

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A third of type 1 diabetes is misdiagnosed in the over 30s

More than a third of people over the age of 30 who are initially diagnosed with type 2 diabetes actually have type 1, meaning they are not receiving the right treatment, new research has revealed.

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Fetal heart rate monitoring during labour in low-resource countries

Worldwide, there are over 3 million stillbirths and approximately 3 million newborn deaths each year, most in low-resource countries. About 2 million of these deaths are due to intrapartum hypoxia. There is a strong association between abnormal fetal heart rate and intrapartum-related deaths, therefore optimal fetal heart rate monitoring can help health workers identify at risk fetuses and take appropriate action to save lives.

* This article was originally published here

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New computational tool improves identification of genes of potential clinical significance

Like finding a needle in a haystack, identifying genes that are involved in particular diseases can be an arduous and time consuming process. Looking to improve this process, a team led by researchers at Baylor College of Medicine has developed a new bioinformatics tool that analyzes CRISPR pooled screen data and identifies candidates for potentially relevant genes with greater sensitivity and accuracy than other existing methods. The new analytical web-based tool also is quicker and more user friendly as it does not require bioinformatics training to use it. The study appears in the journal Genome Research.

source https://www.lifetechnology.com/blogs/life-technology-news-blog/new-computational-tool-improves-identification-of-genes-of-potential-clinical-significance