IEEE

Model-Free Predictive Control for PMSM Drives Using Ultra-Local With Poincaré Mapping Causality

Abstract: Model-free predictive control (MFPC) has become a popular choice for addressing the robustness limitations of model-based predictive control (MBPC), by replacing physical models with ...

Python scales host microstructures that block bacterial biofilms—revealing potential for antimicrobial materials

Materials inspired by nature, or biomimetic materials, are nothing new. Scientists have designed water-resistant materials ...
The American Journal of Managed Care

Predicting Severe Diabetes Complications Using Administrative Claims Data in Maryland

Predictive risk scores created using administrative claims and publicly available social determinants of health data strongly predicted severe diabetes complications for Maryland Medicare ...
The Lancet

A predictive atlas of disease onset from retinal fundus photographs: a modelling study using data from population-based cohorts

We present one of the first comprehensive evaluations of predictive information derived from retinal fundus photographs, illustrating the potential and limitations of readily accessible and low-cost ...
IEEE

ANN-Assisted Model Predictive Control Method for IPMSM Drive Using Torque-Deviations Mapping

Abstract: The high performance of conventional model predictive control (CMPC) for electric drives depends on the fidelity of the machine’s parametric model. However, the parameters of the interior ...

'Scarily accurate': Open-source AI engine predicts markets and public opinion using thousands of digital agents

The project is described by its creators as a universal swarm-intelligence engine designed to run large-scale simulations in order to explore possible future scenarios. Instead of relying on a single ...
Devdiscourse

Stacked AI model improves credit default forecasting

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...
CNET

Anthropic Says Its Newest AI Model Is Getting Pretty Good at Using a Computer

Jon covers artificial intelligence. He previously led CNET's home energy and utilities category, with a focus on energy-saving advice, thermostats, and heating and cooling. Jon has more than a decade ...
Automation World

Use of Predictive AI in the Oil & Gas Industry Offers Lessons for Manufacturers

Honeywell’s HALO machine learning system predicted pressure disturbances and cycle delays with 12-minute notice, enabling operators to take preventive action before shutdowns occurred. The ...
Frontiers

Machine learning–guided feature selection and predictive model construction for attention-deficit/hyperactivity disorder

A total of 8,598 children were enrolled and classified into three groups: ADHD (n=3,678), subthreshold ADHD (s-ADHD) (n=1,495), and healthy controls (HC) (n=3,425). Data collection covered 40 ...
Wired

This AI Model Can Intuit How the Physical World Works

The original version of this story appeared in Quanta Magazine. Here’s a test for infants: Show them a glass of water on a desk. Hide it behind a wooden board. Now move the board toward the glass. If ...