Boosting the popularity of social media posts

Computer scientists created a new algorithm to recommend tags for social media posts which should boost the popularity of the post in question. This algorithm takes into account more kinds of information than previous algorithms with a similar goal. The result is a measurably improved view count for posts which use the tags recommended by this new algorithm. Such research could be useful commercially and for other researchers who study online behavior.

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Extending Wi-Fi range for smart-home devices

A group of researchers has created a protocol that significantly extends the distance a Wi-Fi enabled device can send and receive signals. The engineering innovation requires no new hardware to enhance the signal range for 'Internet of things' devices, like a door sensor or motion detector, but can extend the distance these devices can be installed from a Wi-Fi access point by more than 60 meters, according to test results.

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Study warns of security gaps in smart light bulbs

Smart bulbs are expected to be a popular purchase this holiday season. But could lighting your home open up your personal information to hackers? Now researchers have conducted a review of the security holes that exist in popular smart-light brands. According to the analysis, the next prime target could be that smart bulb that shoppers buy this coming holiday season.

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Land management practices to reduce nitrogen load may be affected by climate changes

Nitrogen from agricultural production is a major cause of pollution in the Mississippi River Basin and contributes to large dead zones in the Gulf of Mexico. Illinois and other Midwestern states have set goals to reduce nitrogen load through strategies that include different land management practices. A new study uses computer modeling to estimate how those practices may be affected by potential changes in the climate, such as increased rainfall.

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Bio-circuitry mimics synapses and neurons in a step toward sensory computing

Researchers have demonstrated bio-inspired devices that accelerate routes to neuromorphic, or brain-like, computing. Their discovery could support the emergence of computing networks modeled on biology for a sensory approach to machine learning.

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