Meta’s Brain2Qwerty v2 turns thoughts into text, and it doesn’t need brain implants

Meta has unveiled Brain2Qwerty v2, an AI system that converts brain activity into text without surgery, bringing assistive ...
The Chosun Ilbo on MSN

Universities bridge AI education gap for regional students

Recently, in a lecture room at the Daegu Startup Hub in Dong-gu, Daegu, Kim Soo-pil, a senior researcher at the Daegu ...
IEEE

Tail-Biting Convolutional Codes for URLLC: Low-Complexity List Decoding and Rate-Compatible Construction

Abstract: Cyclic redundancy check-aided tail-biting convolutional code (CRC-TBCC) is considered as a competitive candidate for ultra-reliable and low-latency communications (URLLC) in short-length ...
The New York Times

With ‘Vibecoding,’ A.I. Can Help Anyone Build an App

Bringing on artificial intelligence as a collaborator can make coding feel more accessible to those with little training in it, but there are trade-offs. By Lora Kelley What is a vibe? Many know it ...
Scientific Research Publishing

Convolutional Homeomorphic Error-Correcting Codes Utilizing Nano Controlled-Selector Architectural Effectuation ()

1 Department of Computer Engineering, School of Engineering, The University of Jordan, Amman, Jordan. 2 Department of Data Science and Artificial Intelligence, Faculty of Information Technology, ...
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 ...
EurekAlert!

Quasi-convolution coding empowers streamlined reservoir computer

A new publication from Opto-Electronic Sciences; DOI 10.29026/oea.2025.240135, discusses how quasi-convolution coding empowers a streamlined reservoir computer. As the pace of digitalization ...
IEEE

Efficient Convolutional Sparse Coding Based on Penalized Weighted Least Squares for Seismic Data Denoising

Abstract: Recently, convolutional sparse coding (CSC) has been successfully applied to seismic data denoising. CSC differs from traditional dictionary learning methods based on patching schemes in ...