Tech Xplore

Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
Tech Xplore

From brain scans to alloys: Teaching AI to make sense of complex research data

Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...
IEEE

Machine Learning in Intelligent Networks: Architectures, Techniques, and Use Cases

Abstract: Integrating machine learning (ML) into intelligent networks (INs) has redefined the capabilities of modern communication systems by enabling real-time decision-making, adaptive optimization, ...
SpaceNews

Intuitive Machines and Telespazio to collaborate on lunar satellite networks

WASHINGTON — Intuitive Machines will work with Telespazio on their planned lunar satellite networks to ensure interoperability and improve performance. The companies announced Dec. 11 a strategic ...
Frontiers

Integrating Complex Systems, Statistical Modeling, Machine Learning, and AI in Cancer Research and Survival Analysis

This Research Topic is currently accepting articles. Cancer research and survival analysis present profound challenges due to the intricate, multifactorial nature of cancer development, progression, ...
Cloud Computing

IBM launches cloud AI service to manage complex networks

IBM is rolling out a new AI-powered cloud service designed to help companies get a better grip on their increasingly messy networks. IT environments are becoming harder to manage, as networks comprise ...
Network World

IBM offers AI-based cloud service to manage complex networks

IBM Network Intelligence uses AI to gather network telemetry and agents to help with reasoning, root-cause analysis and remediation. IBM has rolled out a cloud-based AI service that can help ...
IEEE

Multimodal machine learning based equivalent modeling method for active distribution networks

Abstract: With high integration of distributed generators (DGs) and diverse topology reconfigurations, the dynamic states of active distribution networks (ADNs) become more complex, which poses great ...
Scientific Research Publishing

Explainable Machine Learning in Risk Management: Balancing Accuracy and Interpretability ()

1 School of Taxation and Public Administration, Shanghai Lixin University of Accounting and Finance, Shanghai, China. 2 School of Business, Computing and Social Sciences, University of Gloucestershire ...
CNET

'Machines Can't Think for You.' How Learning Is Changing in the Age of AI

Macy is a writer on the AI Team. She covers how AI is changing daily life and how to make the most of it. This includes writing about consumer AI products and their real-world impact, from ...
BMJ

Protocol of the pilot study to test and evaluate the iCARE tool: a machine learning-based e-platform tool to make health prognoses and support decision-making for the care of ...

Introduction The provision of optimal care for older adults with complex chronic conditions (CCCs) poses significant challenges due to the interplay of multiple medical, pharmacological, functional ...