How Mixed-Precision Quantization Could Break AI’s Power Addiction

Data originates at the edge, and processing it locally unlocks powerful real-time efficiencies that open very rich product ...
eLife

Rhythmic sampling and competition of target and distractor in a motion detection task

Spatially and temporally overlapping target and distractor are both rhythmically sampled at ~1 Hz, and the phase relationship between target sampling and distractor sampling predicts behavior.
InfoQ

DeepSeek AI Unveils DeepSeek-OCR: Vision-Based Context Compression Redefines Long-Text Processing

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This article dives into the happens-before ...
Hackaday

Making The Smallest And Dumbest LLM With Extreme Quantization

The reason why large language models are called ‘large’ is not because of how smart they are, but as a factor of their sheer ...
IEEE

SQ-GAN: Semantic Image Communications Using Masked Vector Quantization

Abstract: This work introduces Semantically Masked Vector Quantized Generative Adversarial Network (SQ-GAN), a novel approach integrating semantically driven image coding and vector quantization to ...
Nature

Image processing articles from across Nature Portfolio

Image processing is manipulation of an image that has been digitised and uploaded into a computer. Software programs modify the image to make it more useful, and can for example be used to enable ...
IEEE

JOANet: An Integrated Joint Optimization Architecture Making Medical Image Segmentation Really Helped by Super-resolution Pre-processing

Abstract: Conventional computer vision pipelines typically treat low-level enhancement and high-level semantic tasks as isolated processes, focusing on optimizing enhancement for perceptual quality ...
GitHub

Training-Free Reward-Guided Image Editing via Trajectory Optimal Control

Official GitHub repository for Training-Free Reward-Guided Image Editing via Trajectory Optimal Control(2025). Please refer to the paper if you want more details. Recent advancements in diffusion and ...
GitHub

Image Classification for Common Objects

Image Classification for Common Objects A production-ready image classification system that can classify common everyday objects using state-of-the-art deep learning models. This project supports ...