Researchers have developed an assistive machine learning model that greatly improves the ability of medical professionals to read the electroencephalography (EEG) charts of intensive care patients.

This article explores how international tax laws and tariff shocks can together demotivate affiliates of a multinational enterprise (MNE) from pursuing operational excellence and continuous ...

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Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!

New research looks at EEG's role in real-time monitoring of workers' cognitive and emotional states and its potential in automating the detection of psychological hazards like stress and fatigue, ...

Ritwik is a passionate gamer who has a soft spot for JRPGs. He's been writing about all things gaming for six years and counting. No matter how great a title's gameplay may be, there's always the ...

What if you could create your very own personal AI assistant—one that could research, analyze, and even interact with tools—all from scratch? It might sound like a task reserved for seasoned ...

Imagine this: you’re in the middle of an important project, juggling deadlines, and collaborating with a team scattered across time zones. Suddenly, your computer crashes, and hours of work vanish in ...

Please provide your email address to receive an email when new articles are posted on . No serious device- or implant-related adverse events were reported. A high degree of seizures and related ...

I have developed an EEG MCP (Model Context Protocol) Server that integrates MNE-Python for EEG data processing and uses LLMs (Large Language Models) to enable intelligent EEG-based interactions. The ...