IEEE

Convex Optimization for Trajectory Generation: A Tutorial on Generating Dynamically Feasible Trajectories Reliably and Efficiently

Abstract: Reliable and efficient trajectory generation methods are a fundamental need for autonomous dynamical systems. The goal of this article is to provide a comprehensive tutorial of three major ...
IEEE

A Survey on Intelligent Predictive Maintenance (IPdM) in the Era of Fully Connected Intelligence

Abstract: Predictive Maintenance (PdM) refers to a maintenance paradigm that performs maintenance only after the analytical models predict certain failures or degradations. While traditional PdM has ...

British Police Built a Sprawling Crime-Prediction Machine. Some Results Couldn’t Be Trusted

As UK police embrace the AI revolution, a WIRED investigation reveals the messy inside story of one region’s experiment with ...
Frontiers

AI & Machine Learning for Injury Prediction: From Data to Preventive Strategies

The integration of AI and Machine Learning into injury prediction is transforming how researchers, clinicians, and sports ...
Global Investigative Journalism Network

AI Accountability Reporting Guide

This reporting guide helps investigative journalists understand some of the nitty-gritty of the technology underlying AI and ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
GitHub

Covariance Data Frames for Predictive M/EEG Pipelines

For this purpose, coffeine uses DataFrames to handle multiple covariance matrices alongside scalar features. Vectorization and model composition functions are provided that handle composition of valid ...