Researchers at TU Wien are developing a model that interprets opinions not as diametrically opposed poles, but as overlapping ...
Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
Our article is now published in Nature Methods. We developed a large-scale pretrained model scFoundation with 100M parameters. scFoundation was based on the xTrimoGene architecture and trained on over ...
Abstract: The cost function with weighting factor has been adopted in the conventional finite control-set model predictive control (FCS-MPC) methods to directly minimize the common-mode voltage (CMV) ...
This repository has been consolidated into model-runner. All future development, issues, and pull requests should be directed there. Please visit the new repository for the latest updates and to ...
Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...
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