A type of artificial intelligence called fine-tuned large language models (LLMs) greatly enhances error detection in radiology reports, according to a new study ...

Abstract: This paper proposes a new receiver structure for linear-dispersion (LD) codes, subsuming orthogonal, quasiorthogonal and V-BLAST codes. We suggest to use ...

Our approach is powered by Random Linear Network Coding (RLNC), a technology developed in my MIT lab over nearly two decades. It’s a proven data coding method that maximizes throughput and ...

TL;DR: Spot coding errors more quickly with assistance from Microsoft Visual Studio Pro 2022, now $27.97 (reg. $499) for life. Any coder will understand the struggle of spending hours debugging ...

A new Visual Studio Code extension from Microchip Technology provides AI-assisted code development support for embedded systems programming. The MPLAB AI Coding Assistant integrates Continue ...

This project explores the application of error-correcting codes, focusing on cyclic codes, Hamming codes, and Golay codes. The project consists of five scripts, each demonstrating different aspects of ...

In the development phase, code reviews can be performed regularly to help discover errors in logic ... debugging needs to be devoted to early bug detection. Early bug detection will reduce ...

Code Llama is an AI model built on top of Llama 2, fine-tuned for generating and discussing code. It’s free for research and commercial use. Today, we’re releasing Code Llama, a large language model ...

Abstract: Guessing random additive noise decoding (GRAND) has been recently proposed as a code-agnostic decoding technique for linear block codes, which attempts to ...

James Bridges uses gpt-4 via the OpenAI Python API. He generates working code produced by GPT4 and feeds it error messages to get corrected code. This is a first look ...