From Text To Tables: Why Structured Data Is AI’s Next $600B Frontier

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...
Devdiscourse

AI-driven rainfall forecasting shows major gains in predicting flood-triggering storms

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...
EurekAlert!

Bayesian neural network evaluation method on the neutron-induced fission product yields of Thorium-232

Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...
Caterpillar

Caterpillar Teams With NVIDIA to Revolutionize Heavy Industry with Physical AI and Robotics

Driving Industrial Innovation Forward In collaboration with NVIDIA, Caterpillar is creating an AI-driven ecosystem that ...
Game Rant

Valve Confirms The Steam Machine Won't Have a Subsidized Price

James Ratcliff joined Game Rant in 2022 as a Gaming News Writer. In 2023, James was offered a chance to become an occasional feature writer for different games and then a Senior Author in 2025. He is ...
Scientific Research Publishing

Snoek, J., Larochelle, H. and Adams, R.P. (2012) Practical Bayesian Optimization of Machine Learning Algorithms. Advances in Neural Information Processing Systems, Vol. 5, 2951 ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
Frontiers

Deep transfer learning with Bayesian optimization for evolutionary-stage prediction of step-like landslides

1 State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, China 2 State Key Laboratory of Mountain Bridge and Tunnel Engineering, ...
GitHub

An AutoML framework for classical machine learning algorithms, automating model selection and hyperparameter tuning through Bayesian optimization, portfolio-based meta-learning ...

Start a Ray head node Connect and start Ray worker nodes via SSH Activate virtual environments and configure PYTHONPATH on all nodes 📌 Before running the script, ensure passwordless SSH access from ...
Frontiers

Enhancing disaster prediction with Bayesian deep learning: a robust approach for uncertainty estimation

Accurate disaster prediction combined with reliable uncertainty quantification is crucial for timely and effective decision-making in emergency management. However, traditional deep learning methods ...
Yale Environment 360

SoFiE Financial Machine Learning Summer School

The Society for Financial Econometrics (SoFiE) Summer School is an annual week-long research-based course for PhD students, new faculty, and professionals in financial econometrics. For the first two ...