By implementing an automated 3D cell segmentation process, researchers mapped neurons and muscle fibers at the single-cell ...
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Enhanced phase-shifting technique captures 3D shapes of moving objects with high precision
Researchers at the Institute of Science Tokyo have developed a neural-network-based 3D imaging technique that can precisely ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, has launched a groundbreaking technological achievement—a multi-class classification method based on ...
Weijian Yang, right and graduate student Feng Tian developed a camera that uses a thin microlens array and new image processing algorithms to capture 3D information about multiple objects in single ...
It's a novel idea, using light diffracted through numerous plates instead of electrons. And to some, it might seem a little like replacing a computer with an abacus, but researchers at UCLA have high ...
In the winter of 2011, Daniel Yamins, a postdoctoral researcher in computational neuroscience at the Massachusetts Institute of Technology, would at times toil past midnight on his machine vision ...
Dr. James McCaffrey of Microsoft Research details the "Hello World" of image classification: a convolutional neural network (CNN) applied to the MNIST digits dataset. The "Hello World" of image ...
You can 3D-print nearly anything: rockets, mouse ovaries, and for some reason, lamps made of orange peels. Now, scientists at Monash University in Melbourne, Australia, have printed living neural ...
Dr. Tam Nguyen receives funding from National Science Foundation. He works for University of Dayton. There are many applications of neural networks. One common example is your smartphone camera’s ...
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