Eos

Taming the Seismicity Tsunami with a Scalable Bayesian Framework

These images show where earthquakes happened during the Noto Peninsula swarm in Japan. Maps (a) and (c) use a standard existing method (GrowClust), while maps (b) and (d) show the results from the new ...
VentureBeat

New ‘Test-Time Training’ method lets AI keep learning without exploding inference costs

A new study from researchers at Stanford University and Nvidia proposes a way for AI models to keep learning after deployment — without increasing inference costs. For enterprise agents that have to ...
GitHub

SmallML: Bayesian Transfer Learning for Small Data

Build production-grade machine learning models with just 50-200 observations per business entity. SmallML combines transfer learning, hierarchical Bayesian inference, and conformal prediction to ...
VentureBeat

Together AI's ATLAS adaptive speculator delivers 400% inference speedup by learning from workloads in real-time

Enterprises expanding AI deployments are hitting an invisible performance wall. The culprit? Static speculators that can't keep up with shifting workloads. Speculators are smaller AI models that work ...
Scientific Research Publishing

Estimating Heterogeneous Treatment Effects of Early Childhood Interventions on Fifth-Grade Math Achievement: A Machine Learning-Augmented Causal Analysis of ECLS-K:2011 ()

School of Economics, The University of Nottingham-Ningbo, Ningbo, China. The study focuses on identifying and distinguishing whether there are differences between those students receiving special ...
ascopubs.org

Bayesian Counterfactual Machine Learning Individualizes Radiation Modality Selection to Mitigate Immunosuppression

Tumor Site–Specific Radiation-Induced Lymphocyte Depletion Models After Fractionated Radiotherapy: Considerations of Model Structure From an Aggregate Data Meta-Analysis Lymphocytes play critical ...
Scientific Research Publishing

A Systems-Based Balanced Cost-Benefit Analysis of Corporate-Community Engagement in Resource Extraction: The CoSLIE Framework ()

This study develops and empirically calibrates the Community-Social Licence-Insurance Equilibrium (CoSLIE) Model, a dynamic, multi-theoretic framework that reconceptualises corporate-community ...
IEEE

Bayesian Inference for Transformer Degradation Prediction: A Comparative Analysis with Traditional and Machine Learning Models

Abstract: Predicting transformer degradation is essential for ensuring the reliability and efficiency of power systems. This study explores Bayesian inference as a robust alternative to traditional ...
CNN

Recovered Bayesian superyacht transferred to Sicilian port after being raised from seabed

A British-flagged luxury superyacht that sank off Sicily last year, killing UK tech magnate Mike Lynch and six others, completed its final trip to the Sicilian port of Termini Imerese Sunday, a day ...