VantageScore® Launches All-New 5.0 Credit Score Model, Delivering Industry-Leading Predictive Performance Based on Post-Pandemic Consumer Data and Novel Attributes

VantageScore today announced the availability of its newest tri-bureau credit score model, VantageScore 5.0. Building on VantageScore’s history of credit score innovation, VantageScore 5.0 utilizes ...

Study compares machine learning models of raindrop formation

Raindrops form inside clouds when tiny particles of water collide and stick together, forming larger droplets that eventually ...
Crypto Briefing

OpenAI’s GPT-Live-1 challenges Google in AI model race

OpenAI's GPT-Live-1 shows strong performance against Google's AI. Google having the best AI model by July 2026 at 10.4% YES.

First AI agent and risk prediction model for precision diabetes management

A research team at The Hong Kong Polytechnic University (PolyU) has developed Hong Kong's first "AI Agent for Precision ...

Hackers can use 9 of the most popular AI tools to assemble massive botnets

In the brief history of AI security, the prompt injection has quickly become the top threat. Large language models are ...
Journal of Medical Internet Research

Predicting Mortality in Intensive Care Unit Patients With Heart Failure Using an Interpretable Machine Learning Model: Retrospective Cohort Study

Comparatively, the XGBoost model had the highest predictive performance among four models with an area under the curve (AUC) of 0.824 (95% CI 0.7766-0.8708), whereas support vector machine had the ...
Tech Xplore

Blame the model, not the machine—better data helps 3D-printed metamaterials match predictions

Additive manufacturing, such as 3D printing, provides an excellent opportunity to design metamaterials: materials with an ...
Journal of Medical Internet Research

Digital Phenotyping Data to Predict Symptom Improvement and Mental Health App Personalization in College Students: Prospective Validation of a Predictive Model

The area under the curve values for the symptom prediction model ranged from 0.58 for the UCLA Loneliness Scale to 0.71 for the Patient Health Questionnaire-9. Engagement with the scheduled app ...
IEEE

Hybrid Model Predictive Control of DC–DC Boost Converters With Constant Power Load

Abstract: This article presents a hybrid model predictive controller to ensure dc microgrid stability and enhance the performance of dc-dc boost converters interfaced with constant power loads (CPLs) ...

The Opportunities And Challenges In Modeling Human Embodied Intelligence

If human sensorimotor intelligence can be recovered as a learned model, systems can be trained that map perception into ...

Alibaba's model never trained as an agent — and improved agent performance across seven benchmarks

Real environments can't inject edge cases on demand. Alibaba's Qwen-AgentWorld simulates them — and outperformed ...
IEEE

Linear Reduced-Order Model Predictive Control

Abstract: Model predictive controllers use dynamics models to solve constrained optimal control problems. However, computational requirements for real-time control have limited their use to systems ...