The Surprising Idea That Generative AI Might Be Better Off Using Visual Images Of Text Rather Than Pure Text As Tokens

Using AI, you enter text. The text gets converted into numbers that are tokens. What if we used images of text instead of pure text. A clever idea. An AI Insider scoop.

MicroCloud Hologram Inc. Releases Hybrid Quantum-Classical Convolutional Neural Network, Achieving New Breakthrough in MNIST Multi-Class Classification

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a Quantum Convolutional Neural Network (QCNN) based on hybrid quantum-classical learning and ...
IEEE

Revisiting Large Kernel Convolution for Light Field Image Angular Super-Resolution

Abstract: Light field (LF) image angular super-resolution (LFASR) aims to reconstruct densely-sampled LF images from a sparsely-sampled sub-aperture image array. However, mainstream LFASR methods ...
GitHub

image tokens as input

If the input consists of a class label together with partial image tokens, can the pretrained model directly generate the complete image, or would it require retraining or fine-tuning? Sign up for ...
IEEE

Hyper-LKCNet: Exploring the Utilization of Large Kernel Convolution for Hyperspectral Image Classification

Abstract: Recently, transformers have garnered significant attention due to their exceptional capability to capture long-range dependencies in data. A critical factor contributing to their superior ...