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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Browser tool aims to help researchers ID malicious websites, code

Researchers have developed an open-source tool that allows users to track and record the behavior of JavaScript programs without alerting the websites that run those programs. The tool, called VisibleV8, runs in the Chrome browser and is designed to detect malicious programs that are capable of evading existing malware detection systems.

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Machine learning's next frontier: Epigenetic drug discovery

Scientists have developed a machine-learning algorithm that gleans information from microscope images — allowing for high-throughput epigenetic drug screens that could unlock new treatments for cancer, heart disease, mental illness and more.

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Giving robots a faster grasp

Engineers have found a way to significantly speed up the planning process required for a robot to adjust its grasp on an object by pushing that object against a stationary surface. Whereas traditional algorithms would require tens of minutes for planning out a sequence of motions, the new team's approach shaves this planning process down to less than a second.

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First demonstration of one petabit per second network node

Computer scientists have demonstrated the first large-scale optical switching testbed capable of handling 1 Petabit per second optical signals. This demonstration made use of state-of-the-art large-scale and low-loss optical switches based on MEMS technology, three types of next-generation spatial-division multiplexing fibers, and included data rates from 10 Terabit per second to 1 Petabit per second. This is a major step forward towards practical petabit-class backbone networks.

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Women have substantially less influence on Twitter than men in academic medicine

Women who are health policy or health services researchers face a significant disparity in social media influence compared to their male peers, according to a new study. Although the average number of tweets among all researchers tend to be consistent, women trail behind men in follower counts, regardless of how active they are on Twitter.

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