AI in the Core: Balancing Efficiency, Explainability and Compliance in Banking Platforms

The reason for this shift is simple: data gravity. The core holds the most complete, consistent and authoritative dataset available to the institution. Moving AI decisioning closer to this data ...
InfoWorld

16 open source projects transforming AI and machine learning

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
GitHub

Imprecise Probabilistic Machine Learning

“There are known knowns. There are known unknowns. But there are also unknown unknowns—things we do not yet realize we do not know.”—Donald Rumsfeld (2002) While modern machine learning (ML) ...
Hosted on MSN

Linear regression cost function explained simply

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...
Frontiers

Ensemble machine learning for predicting renal function decline in chronic kidney disease: development and external validation

1 Department of Nephrology, the 95th Hospital of Putian in China RongTong Medical Health Corporation, Putian, China 2 Department of Rheumatology and Immunology, the 95th Hospital of Putian in China ...
EurekAlert!

National study finds public Montessori programs strengthens early learning outcomes -- at sharply lower costs compared to traditional preschool

The first national randomized trial of public Montessori preschool students showed stronger long-term outcomes by kindergarten, including elevated reading, memory, and executive function as compared ...
IEEE

Online Parameter Identification of Cost Functions in Generalized Nash Games

Abstract: This work studies the online parameter identification of cost functions in a generalized Nash game, where each player's cost function is influenced by an observable signal and some unknown ...
Frontiers

A risk prediction model for poor joint function recovery after ankle fracture surgery based on interpretable machine learning

Objective: Currently, there is no individualized prediction model for joint function recovery after ankle fracture surgery. This study aims to develop a prediction model for poor recovery following ...
News Medical

Machine learning identifies key lifestyle factors for healthy brain function

A new study offers insight into the health and lifestyle indicators - including diet, physical activity and weight - that align most closely with healthy brain function across the lifespan. The study ...
marktechpost

High-Entropy Token Selection in Reinforcement Learning with Verifiable Rewards (RLVR) Improves Accuracy and Reduces Training Cost for LLMs

Large Language Models (LLMs) generate step-by-step responses known as Chain-of-Thoughts (CoTs), where each token contributes to a coherent and logical narrative. To improve the quality of reasoning, ...
AOL

Inflation rate rose by 2.3% in April, CPI report shows. Here's what it means.

The Consumer Price Index in April rose 2.3% on an annual basis, rising less than economists had expected yet still reflecting price hikes that remain above the Federal Reserve's goal of bringing down ...