These synthetic images could be used to augment a small dataset or even on their own to train a deep-learning algorithm, according to Hoo-Chang Shin, a senior research scientist at NVIDIA. Examples of ...

--WiMi Hologram Cloud Inc., a leading global Hologram Augmented Reality Technology provider, today announced the development of a convolutional neural network-based image fusion algorithm system.

Mind-reading algorithm uses EEG data to reconstruct images based on what we perceive. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2018 / 02 / 180222145037.htm ...

Computer scientists have designed a new algorithm that incorporates artificial neural networks to simultaneously apply a wide range of fixes to corrupted digital images. The researchers tested ...

Image transformation Brain scan slices acquired with a portable, low-field Hyperfine MRI scanner (top row) and corresponding slices output by the LF-SynthSR algorithm (bottom row). The Hyperfine scan ...

Breakthrough Brain Imaging: Experts use new microscope, AI algorithm, and voltage indicators to image electrical activity deep in the brain BU neuroscientist and collaborators have developed a ...

Every image shown was that of a new face, to prevent the GAN from continuously building upon its “vision” of a particular face. The fMRI/AI system’s existence isn’t for the sake of novelty.

A comparison of brain-image reconstruction techniques. The original images are shown in the top row, while the results of the new deep generative multivew model are shown in the bottom row.

Design and functional characterization of green, positive-going, two-photon-compatible GEVIs. Credit: Nature Methods (2023). DOI: 10.1038/s41592-023-01820-3 ...

Computer scientists at Google Brain have devised a technique that tricks neural networks into misidentifying images—a hack that works on humans as well. As Evan Ackerman reports at IEEE Spectrum ...