Tokyo, Japan – Scientists from Tokyo Metropolitan University have used machine learning to automate the identification of defects in sister chromatid cohesion. They trained a convolutional neural network (CNN) with microscopy images of individu...
Robyn Pennacchia is a brilliant, fabulously talented and visually stunning angel of a human being, who shrugged off what she is pretty sure would have been a Tony Award-winning career in musical theater in order to write about stuff on the inte...
A new technique that generates a sharp image through the use of a low-cost, random scattering medium in real-time could offer a solution to the challenges posed by blurred images. “We have developed a strategy of calibration-free, reconstructio...
Over the next five years, working with a network of real estate operators, the two companies aim to open as many as 100 Embark transfer points nationwide. 'A fully developed transfer point has to include autonomous truck maintenance services an...
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This has led to a growing need for more efficient deep learning models that can be trained and deployed on resource-constrained devices such as smartphones, embedded systems, and Internet of Things (IoT) devices. Additionally, reducing computat...