How Bayesian testing lets Google measure incrementality with $5,000

What’s often misunderstood about Google’s incrementality testing and how Bayesian models use probability to guide better decisions.
AZoCleantech

New Framework for Predicting TAIs in Hydrogen Combustion

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...
IEEE

Bayesian Deep Learning for Fault Diagnosis of Induction Motors With Reduced Data Reliance and Improved Interpretability

Abstract: Fault diagnosis holds significant practical importance for high performance and reliable control of induction motors. However, existing deep learning-based fault diagnosis methods demand a ...
Devdiscourse

Why AI must embrace uncertainty to stay aligned with humans

The paper addresses the AI shutdown problem, a long-standing challenge in AI safety. The shutdown problem asks how to design AI systems that will shut down when instructed, will not try to prevent ...
eLife

Perceptual predictions track subjective, over objective, statistical structure

This important study reports three experiments examining how the subjective experience of task regularities influences perceptual decision-making. Although the evidence linking subjective ratings to ...
EurekAlert!

Large language models: a new frontier in reliability systems engineering

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...
Technology Networks

AI and ML in the Modern Laboratory: High-Throughput Experimentation and Beyond

This article explores how AI-augmented laboratories optimize high-throughput experimentation and improve efficiency in ...
CNET

How AI Could Help Your Grocery Shopping Experience With Nutrition Information

WiseCode uses AI-driven data analysis to reveal ingredient and nutrient information, helping you make more informed shopping ...
IEEE

Sparse Bayesian Learning for Switching Network Identification

Abstract: Learning dynamical networks based on time series of nodal states is of significant interest in systems science, computer science, and control engineering. Despite recent progress in network ...
eLife

Retrosplenial cortex enables context-dependent goal-directed sensorimotor transformation

This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
BMJ Global Health

Intimate partner violence trajectories over a 1-year period in a population-based cohort of women in Kenya: associations with individual and community normative factors

Introduction The global evidence base on intimate partner violence (IPV) prevalence and risk factors is predominantly cross-sectional, limiting clarity in changes over time. Prospective cohort data ...