TokaMark
PulseAugur coverage of TokaMark — every cluster mentioning TokaMark across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
-
Plasma diagnostic ML models struggle with sensor failures, study finds
A new study systematically evaluates the robustness of machine learning models used for plasma diagnostics in tokamak fusion devices. Researchers tested XGBoost, LSTM, and Transformer models against six failure scenario…
-
New benchmark reveals plasma diagnostic ML models struggle with sensor failures
A new research paper evaluates the robustness of machine learning models used in plasma diagnostic systems for tokamak fusion devices. The study, conducted on the TokaMark dataset, tested various architectures including…
-
TokaMark benchmark accelerates AI for fusion energy plasma modeling
Researchers have introduced TokaMark, a new benchmark designed to evaluate AI models for predicting plasma dynamics in fusion energy reactors. This benchmark utilizes real experimental data from the MAST tokamak and inc…
-
TokaMind model advances tokamak plasma dynamics research
Researchers have introduced TokaMind, an open-source foundation model designed for tokamak plasma dynamics. This model utilizes a Multi-Modal Transformer architecture and has been pre-trained on diverse data from the MA…