HackerNoon

Building a Production CI/CD Pipline for Machine Learning Models Across Distributed Industrial Plants

I ML deployment is different from cloud CI/CD. Learn how site-aware validation, versioned models, staged rollouts, and ...
techtarget

4 types of machine learning models explained

Artificial intelligence is built on the foundation of machine learning (ML) models. These models are software programs designed to classify data, identify data patterns, spot anomalies in data sets, ...
Ars Technica

Update to Google’s AI weather model improves forecast accuracy

Google is one of the major players in AI (meaning machine learning) weather forecast model space. The models it and others generate have their strengths and weaknesses, but the main advantage is that ...
BMJ

Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
techtarget

Interpretability vs. explainability in AI and machine learning

Imagine you're a doctor using a new AI tool that suggests an atypical treatment plan for a patient with a complex medical condition. How do you know whether the model's recommendation is trustworthy - ...
Stanford Daily

The Foundry Problem: World Models and the Missing Liability Framework for Self-Supervised Learning

AI data-based liability doctrine has converged on two planes of the machine learning pipeline: training data and model output. The phase between them, self-supervised learning (SSL), has yet to ...