Transformer Weekly: New Claude Mythos model details leaked, Anthropic wins injunction against DoD blacklisting and ...

A latent class mixed model was used to identify distinct trajectories of internet usage time over the course of 10 years. Mixed-effect models were used to test the relationship between distinct ...

Is FMVA worth it in 2026? Explore an honest review of CFI’s top finance certification, covering course content, career ...

You don't need the newest GPUs to save money on AI; simple tweaks like "smoke tests" and fixing data bottlenecks can slash ...

Abstract: In this paper, we investigate the problem of spatial non-stationary channel estimation for near-field extremely large-scale multiple-input multiple-output (XL-MIMO) systems. Specifically, we ...

New capability delivers compliant, rich, analysis-ready SBOMs from a single folder-based workflow—even for mixed and ...

Abstract: This paper focuses on the optimization problem of layout decision making under the background of multiple factors, and constructs and solves a mixed integer nonlinear programming model. The ...

Timber takes a trained ML model — XGBoost, LightGBM, scikit-learn, CatBoost, ONNX (tree ensembles, linear models, SVMs), or a URDF robot description — runs it through a multi-pass optimizing compiler, ...

MMER is a Python package for multivariate mixed-effects regression featuring a modular fixed-effects component. It supports parametric and non-parametric machine learning regressors (neural networks, ...

Background/aims Posterior capsule opacification (PCO) is the most frequent long-term complication after cataract surgery, ...