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 ...

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

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, ...

Abstract: Mixed-model multi-manned assembly lines with unpaced synchronous transfer are common in industrial practice, while they have been overlooked by existing research on assembly line balancing ...

Abstract: We present a set of tools for digital design, integration and verification of mixed-signal Application Specific Integrated Circuits (ASIC) developed within our design team. We have chosen ...

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...