PiEEG
News & Updates
Product launches, research breakthroughs, and community highlights from the world of open-source brain-computer interfaces.
Featured Stories
Hello Octopus 16: 60-Second BCI Hackathon Starter & AI-Ready Workbench
Launch a 60 fps 16-channel EEG workbench in 30 seconds and build complete BCI apps with ready-to-paste AI prompts for GitHub Copilot, Claude Code, and Cursor.
OctoKin (MIT): Open-Source Human Biosignal Feedback for NVIDIA Isaac and ROS 2
OctoKin bridges the coin-sized 16-channel Octopus-16 sensor directly to ROS 2, NVIDIA Isaac Sim, and Isaac Lab—enabling ~50 ms physiological safety halts, shared-autonomy velocity scaling, and biometric RLHF.
PiEEG XR Launches on Kickstarter November 23 Following Field Trials and Factory Production
After months of real-world VR trials in Tokyo and Madrid, new BodyMove motion-sync software, and compact factory-molded enclosures, PiEEG XR officially launches on Kickstarter on November 23.
All News
New Software for PiEEG Devices
Latest software updates bring enhanced signal processing, real-time analysis capabilities, and improved user interface for all PiEEG devices.
OpenClaw Connected to Brain via PiEEG
Researchers successfully demonstrate direct brain control of the OpenClaw robotic gripper using PiEEG's brain-computer interface technology.
3D Printable EEG Headset Design Released
Free, open-source 3D-printable EEG headset design now available. Print your own professional-grade electrode holder at home.
MicroBCI: STM32-Based Portable BCI Shield
Ultra-portable BCI development platform powered by STM32 microcontroller. Perfect for mobile and embedded BCI applications.
Deep Learning with Keras for EEG Signal Processing
Learn how to apply deep learning techniques to EEG data using Keras and TensorFlow. Complete tutorial with code examples and trained models.
IronBCI - Low-Cost Brain-Computer Interface Now Available
Introducing IronBCI: An affordable, powerful brain-computer interface system designed for researchers, students, and BCI enthusiasts.
32-Channel IronBCI for Professional Research
Professional-grade 32-channel IronBCI system designed for advanced neuroscience research and clinical applications.
Machine Learning for EEG: Complete Python Course
Free comprehensive course teaching machine learning techniques for EEG analysis using Python, scikit-learn, and TensorFlow.
PiEEG Discord Community Reaches 5,000 Members
Our Discord community has grown to 5,000 members worldwide. Join researchers, students, and makers building the future of BCI technology.
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