By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

North Korea-linked Lazarus campaign spreads malicious npm and PyPI packages via fake crypto job offers, deploying RATs and ...

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 ...

Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...

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 ...

This desktop app for hosting and running LLMs locally is rough in a few spots, but still useful right out of the box.

Here's how the JavaScript Registry evolves makes building, sharing, and using JavaScript packages simpler and more secure ...

Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...

To complete the above system, the author’s main research work includes: 1) Office document automation based on python-docx. 2) Use the Django framework to develop the website.

API frameworks reduce development time and improve reliability across connected software systemsChoosing the right framework ...

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...