TensorFlow Compression (TFC) contains data compression tools for TensorFlow. You can use this library to build your own ML models with end-to-end optimized data compression built in. It's useful to ...

Abstract: The entropy of the codes usually serves as the rate loss in the recent learned lossy image compression methods. Precise estimation of the probabilistic distribution of the codes plays a ...

RDVQ is a VQ-based generative image compression framework for efficient and controllable ultra-low-bitrate image compression. Conventional VQ-VAE learns powerful discrete representations, but its ...

Abstract: Context-based adaptive binary arithmetic coding (CABAC) as a normative part of the new ITU-T/ISO/IEC standard H.264/AVC for video compression is presented. By combining an adaptive binary ...

If you have been trying to beat Wordle every day and failing more often than you would like to admit, science might finally ...

Artificial intelligence has advanced crystal design, yet unifying crystal structure prediction with thermodynamics-driven structure-property modelling remains challenging owing to divergent ...

What about ChatGPT and related large AI Systems? How will they impact us all? As a longtime researcher in AI, I'm excited about the ways in which these new AI systems can improve our healthcare, ...

Massive Funding Signals AI's Transformative Potential Three remarkable AI startups just secured significant investments, showcasing the incredible momentum in enterprise technology: 𝗪𝗵𝗮𝘁'𝘀 ...