CNET

I Tried Vibe Coding With Different Gemini Models. Here's What I Learned

A slower "reasoning" model might do more of the work for you -- and keep vibe coding from becoming a chore.

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 ...
IEEE

UCVC: A Unified Contextual Video Compression Framework with Joint P-frame and B-frame Coding

Abstract: This paper presents a learned video compression method in response to video compression track of the 6th Challenge on Learned Image Compression (CLIC), at DCC 2024. Specifically, we propose ...
IEEE

Learning-Based Video Compression with Continuously Variable Bitrate Coding

Abstract: In this paper, we propose a learning-based video compression which can perform continuously variable bitrate coding. The proposed method generates feature transformation parameters through a ...
GitHub

Compression Is All You Need

A wicked project aims at compressing most of the code & resource in a Fabric Mod efficiently. Using the forked small project ExtraPlayerRenderer as an example, the size is reduced from 79.2KiB to ...
GitHub

A neural codec for speech compression using contextual features and adversarial training. This project implements a high-quality, low-latency speech compression system based on ...

Input Audio (16kHz) ↓ [CC Encoder] ├─→ Short-context stream (10ms stride) → 64-D features (Cs) └─→ Long-context stream (40ms stride) → 64-D features (Cl) ↓ [Quantization] (1-bit delta modulation) ↓ ...