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

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

Machine Learning Methods Used for Portfolio Optimization and Risk Management

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...
Oak Ridge National Lab

DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine ...

Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...
Frontiers

Spatial consistency assessment and landslide susceptibility prediction optimization

1 Nanjing Changtian Surveying and Mapping Technology Co., Ltd., Nanjing, China 2 School of Geography Science and Geomatics Engineering, Suzhou University of Science and Technology, Suzhou, China ...
IEEE

Tuning the Tuner: Introducing Hyperparameter Optimization for Auto-Tuning

Abstract: Automatic performance tuning (auto-tuning) is widely used to optimize performance-critical applications across many scientific domains by finding the best program variant among many choices.
Search Engine Land

AI search optimization tools: Geoptie’s all-in-one GEO dashboard is live

AI-powered search experiences from Google, Anthropic’s Claude, OpenAI’s ChatGPT, and Perplexity are reshaping how users find information online. Traditional SEO strategies are no longer enough. Brands ...
C&EN

Feature Selection and Hyperparameter Optimization for Machine Learned Classification of 3D ...

Department of Chemistry, University of Illinois at Urbana─Champaign, Urbana, Illinois 61801, United States Department of Chemistry, Rice University, Houston, Texas 77005, United States Department of ...