BPU-Net: a precise grain image segmentation method based on bidirectional skip connections and continuous VI loss

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庞若鸣在Meta负责的是超级智能实验室,这是一个旨在构建比人类更强大系统的先锋团队。他在Scale AI联合创始人兼前首席执行官汪滔(Alexandr Wang)以及GitHub前首席执行官奈特·弗里德曼(Nat Friedman)领导下工作。

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I'm publishing this to start a conversation. What did I get right? What did I miss? Are there use cases that don't fit this model? What would a migration path for this approach look like? The goal is to gather feedback from developers who've felt the pain of Web streams and have opinions about what a better API should look like.

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南方周末:你提到录音室和现场的区别,在录制这套即兴曲时,是一次性完整录完,还是录了多次之后再进行选择和剪辑?