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.
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 ...
IEEE

Mixed Time-/Event-triggered Sampling Strategies for Linear Systems under Denial-of-Service Attacks

Abstract: This paper investigates the design of sampling strategies for linear networked control systems (NCSs) under dual-channel denial-of-service (DoS) attacks. We focus on enhancing system ...
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 ...