A retrospective cohort study of 64,382 adult emergency department patients in Brazil found that adding natural language ...

Relational foundation model NVIDIA Kumo Relational beats XGBoost and AutoGluon across 41 benchmark tasks on enterprise ...

A comparative machine-learning study found that meditation, behavioral and lifestyle survey data can predict self-reported ...

The current MA risk adjustment model has shortcomings, both in predictive accuracy and payment equity across the Medicare program, which could be mitigated using lessons from machine learning. MA ...

Dissolved oxygen (DO), as a vital material sustaining aquatic ecosystems, has declined markedly in oceans, lakes, and coastal waters, yet unbiased understandings of changing DO concentrations in each ...

Sivakumar is an enterprise architect with 20+ years delivering secure cloud and AI/ML systems in retail and fintech. Stablecoins were created to solve one of crypto’s biggest problems: volatility. A ...

In addition, Demand planning provides a best fit model algorithm, which automatically selects the best of the available algorithms for each product and dimension combination. Demand planning also lets ...

The deep learning revolution has a curious blind spot: the spreadsheet. While Large Language Models (LLMs) have mastered the nuances of human prose and image generators have conquered the digital ...

As climate change produces ever more heat waves, how many homes in the U.S. lack adequate cooling? Who's most vulnerable to lethal temperatures, and exactly where do they live? A researcher at the ...

Abstract: Energy demand prediction is essential in ensuring national energy security, promoting high-quality economic development, advancing sustainable development, optimizing the energy structure, ...

In the competitive landscape of CRM (Customer Relationship Management), the effectiveness of communications like emails and push notifications is pivotal. Optimizing these communications can ...