AI captures particle accelerator behavior to optimize machine performance

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
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 ...
North Penn Now

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
IEEE

In-Network Machine Learning Using Programmable Network Devices: A Survey

Abstract: Machine learning is widely used to solve networking challenges, ranging from traffic classification and anomaly detection to network configuration. However, machine learning also requires ...
IEEE

Machine Learning to Solve Vehicle Routing Problems: A Survey

Abstract: This paper provides a systematic overview of machine learning methods applied to solve NP-hard Vehicle Routing Problems (VRPs). Recently, there has been great interest from both the machine ...
GitHub

SLT - A Common Lisp Language Plugin for Jetbrains IDE lineup

THIS PLUGIN IS EXPERIMENTAL and can crash at any time! Please report all bugs! This plugin is providing support for Common Lisp for JetBrains IDEs. Using modified ...
GitHub

A JIT Compiler and Runtime for Java in Common Lisp

OpenLDK is a Just-In-Time (JIT) compiler and runtime environment for Java, implemented entirely in Common Lisp. It bridges the gap between Java and Common Lisp by incrementally translating Java ...