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b'Today we\\u2019re joined by Auke Wiggers, an AI research scientist at Qualcomm. In our conversation with Auke, we discuss his team\\u2019s 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, \\u201cTransformer-based transform coding\\u201d, that proposes a vision transformer-based architecture for image and video coding, and some of his team\\u2019s other accepted works at the conference.\\xa0\\nThe complete show notes for this episode can be found at twimlai.com/go/570'