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Apple Watch Series 2 — Live Bright — Apple

Built-in GPS. Water resistance to 50 meters. A lightning-fast dual‑core processor. And a display that’s two times brighter than before. Full of features that help you stay active, motivated, and connected, Apple Watch Series 2 is the perfect partner for a healthy life. Learn more: Song: “Freedom (feat. Kendrick Lamar)” …

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Apple — Home App — Welcome Home

With the new Home App, you can control all of your HomeKit-enabled accessories from your iPhone, iPad, Apple Watch, or Apple TV. Set the scene with a single tap or Siri command. Quite simply, the Home App is an easy and secure way to automate your house. Learn more about …

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Academic and University News

Prof. Shen Guozhen’s Group in Institute of Semiconductors, Chinese Academy of Sciences, with their collaborators in Hong Kong University of Science and Technology developed a flexible UV image sensor based on ZnO quantum dots (QDs) decorated ZTO nanowires (NWs). The device was fabricated on the flexible polyethylene terephthalate (PET) substrate, which displayed outstanding flexibility, electrical stability and folding endurance.

Duo to the rational band engineering at the QD/NW interface which results in effective separation of electron-hole pairs, the device showed ultrahigh specific detectivity (up to 9.0 × 1017 Jones), photoconductive gain (up to 1.1 × 107) and high response speed (47 ms).


EETimes: Non-uniform spatial image sampling has been a popular idea over many decades. University of Glasgow, Scotland, UK, gives it another try in arxiv.org open-acess paper "Adaptive foveated single-pixel imaging with dynamic super-sampling" by David B. Phillips, Ming-Jie Sun, Jonathan M. Taylor, Matthew P. Edgar, Stephen M. Barnett, Graham G. Gibson, and Miles J. Padgett.

"In this work we take a different approach and adopt a strategy inspired by the foveated vision systems found in the animal kingdom - a framework that exploits the spatio-temporal redundancy present in many dynamic scenes. In our single-pixel imaging system a high-resolution foveal region follows motion within the scene, but unlike a simple zoom, every frame delivers new spatial information from across the entire field-of-view. Using this approach we demonstrate a four-fold reduction in the time taken to record the detail of rapidly evolving features, whilst simultaneously accumulating detail of more slowly evolving regions over several consecutive frames."

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