How AI coding agents work—and what to remember if you use them

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
GitHub

Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching

This is the official repository of paper Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching. We propose Distilled Decoding (DD) to distill a pre-trained image ...
PC World

I started ‘vibe coding’ my own apps with AI and I’m utterly loving it

On February 2nd, 2025, computer scientist and OpenAI co-founder Andrej Karpathy made a flippant tweet that launched a new phrase into the internet’s collective consciousness. He posted that he’d ...
IEEE

An Optimal Two-Step Decoding for PSK-Modulated Noisy Index Coding

Abstract: This paper studies noisy index coding problems over broadcast channels. The codewords from a chosen binary index code of length N are mapped to a $2^{N}$ -PSK constellation before being ...
Wired

Professor Answers Coding Questions

UC Berkeley Computer Science Professor Sarah Chasins joins WIRED to answer the internet's burning questions about coding. How did programmers code the first ever code? What remnants of the early World ...
IEEE

Speech Imagery Decoding Using EEG Signals and Deep Learning: A Survey

Abstract: Speech imagery (SI)-based brain–computer interface (BCI) using electroencephalogram (EEG) signal is a promising area of research for individuals with severe speech production disorders.