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This prototype VEGGIE hardware (photo courtesy of NASA/Gioia Massa).
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As a result, a handful of hardware photos and a pack of details have made their way out.
As a result, a handful of hardware photos and a whole slew of details have made their way out.
It's got to be a heady moment for everyone involved — this is the company's big shot at redemption and relevance — but until then the rest of us will just have to make do with another batch of leaked BB10 hardware photos.
This is followed by a discussion of the various technological advancements in hardware (scintillators, photo-sensors, electronics) and software (image reconstruction) that have led to the current widespread use of TOF PET technology, and future developments that have the potential for further improvements in the TOF imaging performance.
I poke fun at the OTTO because of its hipster design sensibilities, but with a 96×96 top-mounted OLED display for reviewing photos, and a 35mm f/2.0 lens plus the amazing tricks it can manage, it's actually a very impressive little piece of hackable photo hardware.
The IMPROVE project explicitly addresses design reviews for product design; its main focus lies with hardware and algorithms for photo-realistic rendering (Santos et al.,2007).
The photo-conversion hardware and geometry was optimized for quantification of subpopulations with extremely slow or no turnover, at the expense of introducing a multi-second dead time immediately following photo-conversion.
A schematic and photo of the hardware set-up are shown in Fig. 1.
But increasingly, it's software — not hardware — that's making our photos better.
Google is doubling down on photos from a hardware perspective.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com