Communications of the ACM

From Block-Based Programming to Vibe Coding

The path from block-based programming to vibe coding represents a shift from mastering the mechanics of implementation to ...
IEEE

Construction of Partial-Unit-Memory MDS Convolutional Codes

Abstract: Maximum-distance separable (MDS) convolutional codes form an optimal family of convolutional codes, the study of which is of great importance. There are very few general algebraic ...
IEEE

Duality of Quantum and Classical Error Correction Codes: Design Principles and Examples

Abstract: Quantum error correction codes (QECCs) can be constructed from the known classical coding paradigm by exploiting the inherent isomorphism between the ...
Nature

Domain wall motion-driven magnetic convolutional accelerator

Modern computing underpins transformative advances in artificial intelligence, data analytics, and signal processing. However, it now faces critical challenges. The continued scaling of CMOS ...
Nature

Training convolutional neural networks with the Forward–Forward Algorithm

Machine learning using deep neural networks (DNN) continues to transform human life in areas as different as art (DALL-E, stable diffusion), medicine (Alpha-Fold), transport, or natural language ...
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, ...
Frontiers

Convolutional Neural Networks for Very Low-Dimensional LPV Approximations of Incompressible Navier-Stokes Equations

The control of general nonlinear systems is a challenging task in particular for large-scale models as they occur in the semi-discretization of partial differential equations (PDEs) of, say, fluid ...
Frontiers

Multi-Dimensional Enhanced Seizure Prediction Framework Based on Graph Convolutional Network

In terms of seizure prediction, how to fully mine relational data information among multiple channels of epileptic EEG? This is a scientific research subject worthy of further exploration. Recently, ...
eLife

Interpreting wide-band neural activity using convolutional neural networks

Rapid progress in technologies such as calcium imaging and electrophysiology has seen a dramatic increase in the size and extent of neural recordings. Even so, interpretation of this data requires ...
Scientific Research Publishing

Generation of DDoS Attack Dataset for Effective IDS Development and Evaluation ()

Distributed Denial of Service (DDoS) attacks are performed from multiple agents towards a single victim. Essentially, all attacking agents generate multiple packets towards the victim to overwhelm it ...
GitHub

Convolutional neural network based metal artifact reduction (CNN-MAR) in x-ray computed tomography

This code was written in Matlab. It was tested on a PC with a Windows 10 operation system, Matlab R2016a, Microsoft Visual C++ 2012, and a GeForce GTX 970 GPU card. Because the code used the ...