WiMi Releases Resource-Efficient Quantum Convolutional Neural Network Based on QRAM, Accelerating the Practical Implementation of Large-Scale Image Classificatio…

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) (WiMi or the Company), a leading global Hologram Augmented Reality (AR) Technology ...
GitHub

Progressive Deep Feature Learning Network Based on Fault-Aware Deformable Convolution and Its Application in Railway Defect Visual Inspection

Visual inspection has become popular for railway track fault identification. However, the current vision models still have limitations in identifying defects in complex backgrounds due to the ...
GEN

Drug Discovery Innovation: Target Deconvolution and Tractability Assessment

Zhongyao Ma, PhD, holds a bachelor’s degree in biology from Shanghai Jiao Tong University and a PhD in genetics and developmental biology from the University of Georgia, U.S. His research focused on ...
C&EN

Disordered Convolution Region of P(VDF-TrFE) Piezoelectric Nanoparticles: The Core of Sono–Piezo Dynamic Therapy

Department of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for ...
Europe PMC

DIY Your EasyNAS for Vision: Convolution Operation Merging, Map Channel Reducing, and Search Space to Supernet Conversion Tooling.

Despite its popularity as a one-shot Neural Architecture Search (NAS) approach, the applicability of differentiable architecture search (DARTS) on complex vision tasks is still limited by the high ...
C&EN

Convolution Neural Networks for Motion Detection with Electrospun Reversibly-Cross-linkable Polymers and Encapsulated Ag Nanowires

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Embedded

Understanding convolutional neural networks

The world of artificial intelligence (AI) is rapidly evolving, and AI is increasingly enabling applications that were previously unattainable or very difficult to implement. A subsequent article, ...
ahajournals.org

Convolution Neural Network Algorithm for Shockable Arrhythmia Classification Within a Digitally Connected Automated External Defibrillator

Diagnosis of shockable rhythms leading to defibrillation remains integral to improving out‐of‐hospital cardiac arrest outcomes. New machine learning techniques have emerged to diagnose arrhythmias on ...
IEEE

Streaming Dilated Convolution Engine

Abstract: Convolution is one of the most critical operations in various application domains and its computation should combine high performance with energy efficiency. This requirement is critical ...