Machine learning algorithm fully reconstructs LHC particle collisions

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

Machine learning model predicts serious transplant complications months before symptoms appear

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...
American Institute of Physics

Peering inside the machine learning black box for fusion experiments

Statistical insights into machine learning analysis can help researchers evaluate model performance and may even provide new physical understanding.
The Connecticut Mirror

CT’s model for connecting research and lawmaking

A moment at one of the Moving Beyond Implications conferences., Connecticut has a reputation for thoughtful and practical governance, as well as rebuking the toxic partisanship of Washington, D.C. But ...
Frontiers

Data-Driven Approaches for Sustainable Geoscience: Machine Learning in Mineral Resources, Water Management, and Environmental Resilience

Machine learning has rapidly become integral to the advancement of geoscience, a field inundated with complex and multivariate data from myriad sources such ...
Automation World

How to Build an MES Business Case That Actually Survives Reality

Identify concrete losses like micro-stops and scrap patterns, then show how MES makes them visible and actionable across multiple sites. Structure implementation in phases with specific KPIs for each ...