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There’s More to AI Bias Than Biased Data, NIST Reports

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Image: Andrew Shiva/Wikipedia/CC BY-SA 4.0
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As a step toward improving our ability to identify and manage the harmful effects of bias in artificial intelligence (AI) systems, researchers at the National Institute of Standards and Technology (NIST) recommend widening the scope of where we look for the source of

Data Science Paves the Way for Road Safety

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As municipalities clamor for a slice of President Biden’s $1.2 trillion infrastructure spending bill, one Johns Hopkins scientist is re-examining one of the basic elements of road-building: Determining the width of road lanes.

On-Fiber Printed Sensor for Label-Free Detection of Bacteria

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According to the World Health Organization (WHO), antibiotic resistance is now one of the greatest threats to global health, food safety, and development.

Safely Studying Dangerous Infections Just Got a Lot Easier

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To combat a pandemic, science needs to move quickly.

E-commerce Innovations Online Businesses Can Capitalize on in 2022

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The e-commerce industry is forecast to see substantial growth in 2022.

A Security Technique to Fool Would-Be Cyber Attackers

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Multiple programs running on the same computer may not be able to directly access each other’s hidden information. But because they share the same memory hardware, their secrets could be stolen by a malicious program through a “memory timing side-channel attack.”

Ninety Percent of Drugs Fail Clinical Trials

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It takes 10 to 15 years and around $1 billion to develop one successful drug.

More Sensitive X-ray Imaging for Medicine and Industry

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Researchers at MIT have shown how one could improve the efficiency of scintillators by at least tenfold by changing the material’s surface. This image shows a TEM grid on Scotch tape, with the right side showing the scene after it is corrected. Credit: Courtesy of the researchers, edited by MIT News.

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Scintillators are materials that emit light when bombarded with high-energy particles or X-rays. In medical or dental X-ray systems, they convert incoming X-ray radiation into visible light that can then be captured using film or photosensors.

The Answer to Manufacturing’s Waste Problem is Hidden in Data

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As the world moves toward a new, post-pandemic normal, industries must leverage digital transformation at an accelerated pace. This is already happening.

OK, Computer: Building Trust to Make Machine Learning More Effective

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Machine learning has the potential to drastically improve efficiency and the quality of care in hospitals by tackling hard-to-predict problems like ICU occupancy or which patients are likely to be readmitted.

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