Train-to-Test scaling explained: How to optimize your end-to-end AI compute budget for inference

AI reasoning does not necessarily require spending huge amounts on frontier models. Instead, smaller models can yield ...
Managing Intellectual Property

Chinese patent litigation and procedural issues: evidentiary requirements to obtain high damages

Ji Liu and Shaohui Yuan of CCPIT Patent and Trademark Law Office analyse evidentiary strategy in recent high-award Chinese ...
Morning Overview on MSN

Physics-trained AI models speed up engineering simulations and design work

Running a single physics simulation can take hours or days, depending on the complexity of the geometry and the equations ...
BMJ Open

Trends in ethnic disparities in reproductive, maternal, neonatal and child health interventions and the role of social investment and inclusive policies: a mixed-meth…

Introduction Ethnic disparities in reproductive, maternal, neonatal and child health (RMNCH) persist in Latin America, rooted ...
GitHub

Be Bayesian my Friend 2.0.

The course is structured in four main parts, covering the full Bayesian workflow: from probabilistic reasoning to advanced modeling. BAYESIANLEARNING/ │ ├── PART-I/ │ ├── theory/ │ │ └── ...
BMJ

Causal inference in physical activity epidemiology research: an opportunity for better evidence

Decades of research have established a significant link between physical activity and health, influencing agenda setting, policy making and community awareness.1–4 However, the field continues to ...
eLife

Virtual Brain Inference (VBI): A flexible and integrative toolkit for efficient probabilistic inference on virtual brain models

Not revised: This Reviewed Preprint includes the authors’ original preprint (without revision), an eLife assessment, public reviews, and a provisional response from the authors. This work provides a ...
Scientific Research Publishing

Varian, H.R. (2016) Causal Inference in Economics and Marketing. Proceedings of the National Academy of Sciences of the United States of America, 113, 7310-7315.

ABSTRACT: The study focuses on identifying and distinguishing whether there are differences between those students receiving special education services later compared to their general-education peers ...
Frontiers

Causal inference study of PRRSV-MLV vaccine dosing effects on wean-to-finish performance during outbreaks

Porcine Reproductive and Respiratory Syndrome Virus (PRRSV) greatly impacts swine production, and vaccination is the main method for reducing its economic effects on grow-finish populations. To cut ...
Frontiers

Pruning Bayesian networks for computationally tractable multi-model calibration

Anomaly response in aerospace systems increasingly relies on multi-model analysis in digital twins to replicate the system’s behaviors and inform decisions. However, computer model calibration methods ...
Scientific Research Publishing

Marin, J., Pudlo, P., Robert, C.P. and Ryder, R.J. (2011) Approximate Bayesian Computational Methods. Statistics and Computing, 22, 1167-1180.

ABSTRACT: Regression models with intractable normalizing constants are valuable tools for analyzing complex data structures, yet parameter inference for such models remains highly ...