Unverified50% confidenceBenchmarkExact time
The metrics of HydroSphere's prediction module are RMSE 0.1417, MAE 0.1047, and R² 0.3596.
1
Sources
50%
Confidence
Long-term
Relevance
10/8/2026
First Seen
Sources
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Related Claims
UnverifiedThe model has a core of 125B parameters, plus an n-gram lookup table with 51B parameters and a multi-token prediction (MTP) draft layer with 4B parameters, totaling approximately 180B.59% similarUnverifiedThe method achieves an MSE of 0.007 ± 0.005 on the BraTS 2026 validation set.54% similarUnverifiedWhen enabling multi-token prediction (MTP) with a draft depth of 2, the R9700 rose from 27.1 to 46.2 tokens/s (+70%) and the B70 rose from 21.4 to 28.4 tokens/s (+33%).54% similarUnverifiedOn probabilistic prediction metrics, the framework achieves a marginal negative log-likelihood (NLL) of 0.66380 and a continuous ranked probability score (CRPS) of 0.27301.54% similarUnverifiedIn the 12-week short-term prediction, Ridge regression performed best, with an RMSE of 5.186 and an R² of 0.474.54% similar
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