Incrementality testing in Google Ads is suddenly within reach for far more advertisers than before. Google has lowered the barriers to running these tests, making lift measurement possible even ...

Probabilistic reasoning is central to many theories of human cognition, yet its foundations are often presented through abstract mathematical formalisms disconnected from the logic of belief and ...

Abstract: Physics-informed neural networks (PINNs) enable unsupervised inversion by integrating seismic forward modeling equations directly into neural network loss functions, operating on ...

For centuries, humans have assumed that our thinking errors set us apart from the rest of the animal kingdom. From misjudging risks to seeing patterns that aren’t there, we like to imagine that our ...

When OpenAI’s GPT-4 and other large language models (LLMs) first awed the public with fluent text generation, skeptics were quick to point out that producing convincing sentences isn’t the same as ...

This innovative framework accounts for both parameter uncertainty and discrepancy, key issues that affect prediction accuracy of digital twins of automated material handling systems in semiconductor ...

Sudden, hurricane-force winds toppled the luxury Bayesian superyacht that sank off the coast of Sicily last August, according to an interim report into the disaster, which found the boat had ...

An official report into last year’s yacht tragedy, which killed seven, found that the boat could easily capsize in high winds. Its towering mast made it more vulnerable. By Jeffrey Gettleman and James ...

Logic and probability provide two distinct frameworks for modeling how rational agents ought to draw inferences and learn from the available data in the face of uncertainty. The aim of this conference ...