Code Metal Raises $125 Million to Rewrite the Defense Industry’s Code With AI

The Boston startup uses AI to translate and verify legacy software for defense contractors, arguing modernization can’t come at the cost of new bugs.
GitHub

Self-Learning-VAE-for-EEG-Artifact-Removal

This repository contains the implementation, benchmarks, and supporting tools for my MSc dissertation project: Self-learning Variational Autoencoder for EEG Artifact Removal (Key code only). Benchmark ...
IEEE

PAPR Reduction in OFDM System Using Iterative Clipping and Filtering Technique Along with Convolutional Code

Abstract: Orthogonal Frequency Division Multiplexing (OFDM) is widely used technique in high data rate wireless communication system. The major drawback of the OFDM system is large Peak to Average ...
Scientific Research Publishing

Sun, Y. and Xia, X. (2019) Multi-Task Convolutional Neural Network for Software Defect Prediction and Code Smell Detection. IEEE Transactions on Software Engineering, 47, 489-506.

ABSTRACT: Software defect prediction and cost estimation are critical challenges in software engineering, directly influencing software quality and project management efficiency. This study presents a ...
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 ...
IEEE

Performance analysis of convolutional code over different code rates and constraint length in wireless communication

Abstract: The Forward Error Correction (FEC) is appropriate technique used for controlling error in modern data transmission over noisy communication channels ...
Business Wire

New MathWorks Hardware Support Package Automates Code Generation From MATLAB and Simulink Models to Qualcomm Hexagon Neural Processing Unit Architecture

NATICK, Mass.--(BUSINESS WIRE)--MathWorks, the leading developer of mathematical computing software, today announced the availability of a hardware support package for the Qualcomm® Hexagon™ Neural ...
PNAS

HEDGES error-correcting code for DNA storage corrects indels and allows sequence constraints

Synthetic DNA is rapidly emerging as a durable, high-density information storage platform. A major challenge for DNA-based information encoding strategies is the high rate of errors that arise during ...