EPFL researchers have developed a machine learning approach to compressing image data with greater accuracy than learning-free computation methods, with applications for retinal implants and other ...

We demonstrate the transportability of an image-based deep neural network for personalized radiotherapy dose recommendations in lung cancer.

The team successfully integrated miniaturized multilayer optical diffractive neural networks (DN2s) onto the distal end of MMFs, enabling full-optical image transmission.

Researchers at Soongsil University (Korea) published “A Survey on Efficient Convolutional Neural Networks and Hardware Acceleration.” Abstract: “Over the past decade, deep-learning-based ...

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech ...

RTXNTC works like this: The original textures are pre-converted into an array of weights for a small neural network. When the game's engine issues instructions to the GPU to apply these textures ...

Researchers at the University of Pennsylvania have developed a powerful new optical chip that can process almost 2 billion images per second. The device is made up of a neural network that processes ...