KAIST

Headlines · 2

1. Oct 22
   NetEase Cloud Music's CloudEar wins MIREX 2026 music-evaluation track at 73.9%

   NetEase Cloud Music's in-house CloudEar music-evaluation model took first place in the MIREX 2026 track "Music Evaluation via CMI-RewardBench" with 73.9% accuracy, according to PingWest. The track asks a model to judge which of two generated songs better matches human preference given the songs and a text prompt, scored mainly on judgement accuracy. The report says CloudEar beat the organisers' CMI-RM Baseline (65.9%) by 8 percentage points and the open SongEval baseline (72.7%) built by Northwestern Polytechnical University, Shanghai Conservatory of Music, the University of Surrey and Hong Kong University of Science and Technology. NetEase says the model, developed by its AI Music Lab, combines perception evaluation, audio-quality diagnosis and cross-modal alignment and is already used in its products; the report's framing that CloudEar is closest to human aesthetic judgement is presented as its own inference rather than an independently verified result.

   品玩 实时要闻 · 🔥 0
2. Oct 13
   Carnegie report: China overtakes US as top workplace for elite AI researchers

   A Carnegie China report released on September 23, "Who's Ahead in the Global AI Talent Race?", tracked the CVs of 10,280 authors from NeurIPS 2025 and found that 41% of top AI researchers worked in China in 2025 versus 34% in the US, compared with 27% and 46% three years earlier. The same report shows the US still had a net inflow of 2,145 researchers while China had a net outflow of 1,729, and that China's retention rate for researchers it trains rose from 57% to 69%. In the institutional ranking, Peking University took first place from Google, which led in 2022, followed by Tsinghua, Korea's KAIST and Shanghai Jiao Tong University; the report acknowledges its sample skews toward academia and undercounts industry.

   虎嗅 AI · 🔥 0

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