Schematic illustrating the concept of neural network-based image processing and reconstruction of compromised photonic data in terms of resolution, sampling density, and SNR. Deep learning ...

The “deep” in deep learning signifies the use of many layers of neural networks all stacked on top of each other. This data processing ... in image recognition, where it was put to work ...

And if recent work from Intel and the University of Illinois Urbana-Champaign is any proof, machine-learning can solve ... much of the traditional image processing pipeline, which tends to perform ...

This made it difficult to run these deep learning models without a connection to cloud servers. In their latest work, the scientists ... computer vision include image classification, object ...

It excels at tasks like image and audio recognition, natural language processing ... Even though deep learning models can work with data in varying formats, both unstructured and structured ...

Today, all that changes thanks to the work of Giovanni ... The only data processing required for the deep-learning machine is to ensure the consistency of the image orientation and the voxel ...

Samsung Electronics has launched a mid-tier mobile application processor (AP) with boosted deep learning and image processing capabilities. The Eyxnos 7 9610, aimed at mid-tier smartphones ...