National Academies of Sciences%2c Engineering%2c and Medicine

Using Machine Learning in Safety-Critical Applications: Setting a Research Agenda

Machine learning components are enabling advances in self-driving cars, the power grid, and robotic medicine, but what are the implications for safety? Decades of research and practice in safety ...
Forbes

Predicting The Future Of Demand: How Amazon Is Reinventing Forecasting With Machine Learning

Automating through machine learning (ML) allowed Amazon.com to predict future demand for millions of products globally in seconds. Leaders at the multinational tech giant successfully reinvented their ...
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 ...
Visual Studio Magazine

Machine Learning for .NET Developers Starts with ML.NET and AutoML

There's no more important topic than machine learning in the developer space right now as advanced AI constructs like ChatGPT and Microsoft's "Copilot" assistants are transforming the industry. With ...
Linux Journal

Linux Meets AI: Top Machine Learning Frameworks You Need to Know

Linux has long been the backbone of modern computing, serving as the foundation for servers, cloud infrastructures, embedded systems, and supercomputers. As artificial intelligence (AI) and machine ...
mccormick.northwestern.edu

Artificial Intelligence and Machine Learning

Artificial intelligence (AI) is broadly defined as the capability of a machine to imitate intelligent human behavior and cognitive functions, such as learning, problem-solving, and performing complex ...