eLife

A differentiable model for optimizing the genetic drivers of synaptogenesis

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
Devdiscourse

Edge AI redefines how cities run transportation, energy, and healthcare

Urban systems rely on continuous data streams from heterogeneous sensors embedded in roads, vehicles, buildings, medical ...
IEEE

A Reconfigurable Voltage-Time Hybrid ADC With Quantization Threshold Shifting and Common-Mode Tracking

Abstract: This paper presents a reconfigurable 4-channel voltage-time-domain hybrid analog-to-digital converter (ADC) supporting reconfigurability in resolution and sampling speed. The ADC can be ...
GitHub

Neural Graphics Model Gym Examples

This repository contains Jupyter® notebook tutorials demonstrating how to use the Neural Graphics Model Gym Python® package. These examples walk through key workflows such as training, fine-tuning, ...
Investopedia

Sampling Distribution: Definition, How It's Used, and Example

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Thomas J. Brock is a CFA and CPA with more ...
IEEE

DL-AQUA: Deep-Learning-Based Automatic Quantization for MMSE MIMO Detection

Abstract: Directly affecting both error performance and complexity, quantization is critical for MMSE MIMO detection. However, naively pruning quantization levels is ...
GitHub

APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers

This repository contains the official PyTorch implementation for the CVPR 2025 paper "APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision ...