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Bayesian thinking is reshaping AI decision-making

From smarter hypothesis testing with e-values to AI systems that model emotions, Bayesian methods and probabilistic reasoning are transforming how machines—and humans—make decisions under uncertainty.
IEEE

Probabilistic Fusion Framework Based on Fully Convolutional Networks and Graphical Models for Burnt Area Detection from Multiresolution Satellite and UAV Imagery

Abstract: Mapping areas affected by wildfires is an important task for fire disaster management. When dealing with these applications, it is common to have access to images of the same scene collected ...
InfoQ

Google Researchers Propose Bayesian Teaching Method for Large Language Models

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...
Reuters

OpenAI reaches deal to deploy AI models on U.S. Department of War classified network

Feb 27 (Reuters) - OpenAI CEO Sam Altman said on Friday it has reached an agreement with the U.S. Department of War to deploy its AI models on classified cloud networks. "In all of our interactions, ...
CoinDesk

'You are not scaling Ethereum': Vitalik Buterin issues a blunt reality check to the biggest crypto networks

Ethereum co-founder Vitalik Buterin said the role of layer-2 networks needs to be reconsidered as Ethereum’s main network continues to scale and transaction costs remain low. In a post on X, Buterin ...
Bleeping Computer

New Apple privacy feature limits location tracking on iPhones, iPads

Apple is introducing a new privacy feature that lets users limit the precision of location data shared with cellular networks on some iPhone and iPad models. The "Limit Precise Location" setting will ...
IEEE

Correctness of Belief Propagation in Gaussian Graphical Models of Arbitrary Topology

Abstract: Graphical models, such as Bayesian networks and Markov random fields, represent statistical dependencies of variables by a graph. Local “belief propagation” rules of the sort proposed by ...
VentureBeat

OpenAI experiment finds that sparse models could give AI builders the tools to debug neural networks

OpenAI researchers are experimenting with a new approach to designing neural networks, with the aim of making AI models easier to understand, debug, and govern. Sparse models can provide enterprises ...
Ars Technica

Researchers isolate memorization from problem-solving in AI neural networks

When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or ...
Scientific Research Publishing

Gelman, A., Goodrich, B., Gabry, J. and Vehtari, A. (2019) R-Squared for Bayesian Regression Models. The American Statistician, 73, 307-309.

ABSTRACT: This research evaluates the effect of monetary policy rate and exchange rate on inflation across continents using both Frequentist and Bayesian Generalized Additive Mixed Models (GAMMs).
BizTech

What Is Cisco’s Deep Network Model, and What Does It Mean for Business Workflows?

Doug Bonderud is an award-winning writer capable of bridging the gap between complex and conversational across technology, innovation and the human condition. As artificial intelligence becomes ...
GitHub

SandyGCabanes/Anonymized-Survey-Data-Modeling-with-Bayesian-Networks-in-Python

Synthetic dataset outputs for public analysis without privacy risk. Part of my current workflow as survey leader of the Data Engineering Pilipinas group. Comparable distributions per column: based on ...