VAST Data Unveils a Platform for Secure, Trusted, and Self-Learning Agentic AI Systems

SALT LAKE CITY, UT, Feb. 25, 2026 (GLOBE NEWSWIRE) -- Today at VAST Forward 2026, VAST Data, the AI Operating System company, announced the VAST Data PolicyEngine and VAST Data TuningEngine, two new ...
Frontiers

From Biomarkers to Biological Insight: Explainable AI in Genetics and Genomics

High-throughput sequencing, single-cell technologies, and large-scale population studies have transformed genetics and genomics into data-intensive ...
IEEE

Explainable Machine Learning for Predicting Computational Thinking Proficiency in K-12 Students Using National-Level Data

Abstract: This study identified key factors that predict computational thinking (CT) attainment among Korean elementary- and middle-school students and provided educational implications for promoting ...
Unite.AI

Why Data Labeling Is Critical to Building Accurate Machine Learning Models

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...
Tech Xplore on MSN

We trust AI with life and death decisions, but humans still don't challenge the AI's choices

AI systems already decide how ambulances are routed, how supply chains operate and how autonomous drones plan their missions.
AlleyWatch

QuadSci Raises $8M to Predict SaaS Churn Before It Happens

Growth AI translates those insights into prescriptive recommendations through Q-Chat, enabling revenue and product teams to ...

AI captures particle accelerator behavior to optimize machine performance

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
IEEE

Explainable Machine Learning for Sleep Health Analysis Using XGBoost and SHAP Interpretability

With the integration of machine learning techniques into the medical field, there has been a sea change in the last couple of years, and a new era of innovation seems to usher in precision healthcare ...
Scientific Research Publishing

Bussmann, N., Giudici, P., Marinelli, D. and Papenbrock, J. (2020) Explainable Machine Learning in Credit Risk Management. Computational Economics, 57, 203-216.

ABSTRACT: The surge of digital data in tourism, finance and consumer markets demands predictive models capable of handling volatility, nonlinear dynamics, and long-term dependencies, where traditional ...
ascopubs.org

Comparative Evaluation of Explainable Machine Learning Versus Linear Regression for Predicting County-Level Lung Cancer Mortality Rate in the United States

Feasibility and Acceptability of Collecting Passive Smartphone Data for Potential Use in Digital Phenotyping Among Family Caregivers and Patients With Advanced Cancer This study applied three ...
ascopubs.org

Comparative Evaluation of Explainable Machine Learning Versus Linear Regression for Predicting County-Level Lung Cancer Mortality Rate in the United States

Lung cancer (LC) is a leading cause of cancer-related mortality in the United States. Accurate prediction of LC mortality rates is crucial for guiding targeted interventions and addressing health ...