Advances in Neural Compression with Auke Wiggers - #570

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

内容由TWIML and Sam Charrington提供。所有播客内容（包括剧集、图形和播客描述）均由 TWIML and Sam Charrington 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.player.fm/legal。

2y ago 37:39

MP3•单集首页

Today we’re joined by Auke Wiggers, an AI research scientist at Qualcomm. In our conversation with Auke, we discuss his team’s recent research on data compression using generative models. We discuss the relationship between historical compression research and the current trend of neural compression, and the benefit of neural codecs, which learn to compress data from examples. We also explore the performance evaluation process and the recent developments that show that these models can operate in real-time on a mobile device. Finally, we discuss another ICLR paper, “Transformer-based transform coding”, that proposes a vision transformer-based architecture for image and video coding, and some of his team’s other accepted works at the conference.

The complete show notes for this episode can be found at twimlai.com/go/570

699集单集