Spinal stimulation above and below injury restores leg movement and sensory feedback in clinical trial

The effects of spinal cord injuries are complex and multifaceted. People lose not only the ability to control the movement of ...

Mapping 3D-super-enhancers with machine learning to pinpoint regulators of cell identity

Scientists usually study the molecular machinery that controls gene expression from the perspective of a linear, two-dimensional genome—even though DNA and its bound proteins function in three ...

STMicroelectronics accelerates AI-enhanced motor control with machine-learning software pack

Pre-configured to identify normal, high-vibration, and unstable motor conditions STMicroelectronics (NYSE:STM)GENEVA, ...
IEEE

Machine Learning-Driven Model Predictive Control of Modular Multilevel Converters

Abstract: The Modular Multilevel Converter (MMC) has garnered significant interest recently due to its superior harmonic performance and improved efficiency in high-voltage direct current electrical ...
electronics360.globalspec

Wind turbine control systems: From PID to reinforcement learning

Wind turbine control systems have evolved significantly over the past decades, moving from simple classical controllers to sophisticated artificial intelligence-based strategies. Early utility-scale ...
Stars and Stripes

Army to ring in new year with new AI and machine learning career path for officers

A new career path for Army officers that focuses on artificial intelligence and machine learning further cements the service’s doctrinal shift toward cutting-edge technology and autonomous warfare.
Automation World

AI-Driven Motion Control: How Machine Learning Optimizes Motors, Reduces Downtime and Cuts Energy Costs

AI can be added to legacy motion control systems in three phases with minimal disruption: data collection via edge gateways, non-interfering anomaly detection and supervisory control integration.
C&EN

Accelerated Screening of Zeolites for Methanol-to-Propylene Conversion Using Machine Learning with Interpretable Selectivity Function

College of Chemistry, Chemical Engineering and Resource Utilization, Northeast Forestry University, Harbin 150040, P. R. China Center for Innovative Research in Synthetic Chemistry and Resource ...
ascopubs.org

Development, External Validation, and Deployment of RFAN-ML: A Machine Learning Model to Estimate Renal Function After Nephrectomy

Multimodal Artificial Intelligence Model From Baseline Histopathology Adds Prognostic Information for Distant Recurrence Assessment in Hormone Receptor–Positive/Human Epidermal Growth Factor Receptor ...
Frontiers

Integrated bioinformatic analysis and machine learning developed a prognostic model based on mitochondrial function for acute myeloid leukemia

We integrated mitochondrial gene expression data with bulk RNA sequencing to identify key mitochondrial genes associated with AML. A total of fourteen machine learning algorithms were employed, ...
Variety

Dwayne Johnson Speaks Out After ‘Smashing Machine’ Becomes His Worst Opening Ever: ‘You Can’t Control Box Office Results’

Dwayne Johnson experienced the worst box office opening of his career with “The Smashing Machine,” the A24 drama that debuted to a rough $5.9 million domestically. But the actor is taking the bad news ...