Artificial Analysis overhauls its AI Intelligence Index, replacing popular benchmarks with 'real-world' tests

Artificial Analysis overhauls its AI Intelligence Index, replacing saturated benchmarks with real-world tests measuring ...
IEEE

An Energy-Efficient Bayesian Neural Network Implementation Using Stochastic Computing Method

Abstract: The robustness of Bayesian neural networks (BNNs) to real-world uncertainties and incompleteness has led to their application in some safety-critical fields. However, evaluating uncertainty ...
InfoQ

Things Software Developers Think They Don’t Need to Care about, But Can Impact Their Job

Holly Cummins gave a keynote at Goto Copenhagen where she urged developers to care about overlooked issues that shape their ...
archive

Applications of Bayesian model selection to cosmological parameters

Ask the publishers to restore access to 500,000+ books. An icon used to represent a menu that can be toggled by interacting with this icon. A line drawing of the Internet Archive headquarters building ...
National Bureau of Economic Research

Unconditional Cash Transfers: A Bayesian Meta-Analysis of Randomized Evaluations in Low and Middle Income Countries

We use Bayesian meta-analysis methods to estimate the impact of unconditional cash transfers (UCTs). Aggregating evidence from 115 studies of 72 UCT programs in middle and low income countries, we ...
IEEE

Analysis of Gas Pipeline Failure Factors Based on the Novel Bayesian Network by Machine Learning Optimization

Abstract: Assessing the failure of urban gas pipelines is crucial for identifying risk factors and preventing gas accidents that result in economic losses and casualties. Most previous studies on gas ...