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Ultra-sensitive light detector gives self-driving tech a jolt

 E-Mail IMAGE: Electrons multiply as they roll down the staircase as part of the avalanche photodiode. view more  Credit: The University of Texas at Austin Realizing the potential of self-driving cars hinges on technology that can quickly sense and react to obstacles and other vehicles in real time. Engineers from The University of Texas at Austin and the University of Virginia created a new first-of-its-kind light detecting device that can more accurately amplify weak signals bouncing off of faraway objects than current technology allows, giving autonomous vehicles a fuller picture of what s happening on the road. The new device is more sensitive than other light detectors in that it also eliminates inconsistency, or noise, associated with the detection process. Such noise can cause systems to miss signals and put autonomous vehicle passengers at risk.

Does correcting online falsehoods make matters worse?

 E-Mail So, you thought the problem of false information on social media could not be any worse? Allow us to respectfully offer evidence to the contrary. Not only is misinformation increasing online, but attempting to correct it politely on Twitter can have negative consequences, leading to even less-accurate tweets and more toxicity from the people being corrected, according to a new study co-authored by a group of MIT scholars. The study was centered around a Twitter field experiment in which a research team offered polite corrections, complete with links to solid evidence, in replies to flagrantly false tweets about politics.

Opening up possibilities with open-top optofluidic device

 E-Mail IMAGE: Schematic of the co-planar light-actuated optoelectrowetting microfluidic device that features an integrated metal mesh grid. A droplet on the device surface is actuated and moved around the two-dimensional plane under. view more  Credit: Jodi Loo et al. doi: 10.1117/1.JOM.1.3.034001. Microfluidic technologies have seen great advances over the past few decades in addressing applications such as biochemical analysis, pharmaceutical development, and point-of-care diagnostics. Miniaturization of biochemical operations performed on lab-on-a-chip microfluidic platforms benefit from reduced sample, reagent, and waste volumes, as well as increased parallelization and automation. This allows for more cost-effective operations along with higher throughput and sensitivity for faster and more efficient sample analysis and detection.

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