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The race is on to create one neural network that can process multiple kinds of data -- a more-general artificial intelligence that doesn't discriminate about types of data but instead can crunch ...
Use the previously obtained knowledge to train the smaller network, called the student model. To visualize the process, you can think of the following. Knowledge distillation (Image by the author) ...
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Tech Xplore on MSNSustainable AI: Physical neural networks exploit light to train more efficiently
Artificial intelligence is now part of our daily lives, with the subsequent pressing need for larger, more complex models.
A powerful new optical chip can process almost two billion images per second. The device is made up of a neural network that processes information as light without needing components that slow ...
Dr. James McCaffrey of Microsoft Research details the 'Hello World' of image classification: a convolutional neural network (CNN) applied to the MNIST digits dataset.
5don MSN
Knowing where to look: Researchers create AI to examine medical images like a trained radiologist
Input and expertise from radiologists can help develop better and more trustworthy artificial intelligence (AI) tools, new ...
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