Internet of Brains develops advanced Brain-Machine Interface (BMI) technologies to enhance human capabilities and overcome physical limitations. Their systems enable seamless control of cybernetic avatars through thought, allowing individuals to participate in social and industrial activities unbound by physical constraints.
Funding
Funding not disclosed
Founders
Product
Problem
Individuals with physical limitations or those seeking to augment their capabilities face challenges in seamlessly interacting with the digital and physical worlds. Current brain-machine interface (BMI) technologies often lack the necessary performance for widespread social and industrial applications, hindering the creation of new paradigms for human interaction and participation.
Solution
Internet of Brains (IoB) develops advanced Brain-Machine Interface (BMI) technologies to enhance human capabilities and overcome physical limitations. The core focus is on improving BMI performance for social utilization and establishing a new industrial foundation. By enabling the seamless control of cybernetic avatars through thought, IoB aims to allow individuals to participate in creative social activities, unbound by physical constraints. This initiative seeks to create a future where human potential is amplified through direct neural interfacing with digital and robotic systems.
Target Audience
The primary audience includes researchers, developers, and organizations in fields such as neuroscience, robotics, artificial intelligence, and human-computer interaction, as well as individuals and institutions interested in assistive technologies and human augmentation.
Features
- Development of invasive and non-invasive BMI technologies for bidirectional brain-device communication.
- Advanced AI algorithms for decoding neural signals related to thought, intention, and sensory perception.
- Creation of cybernetic avatar (CA) control systems that translate neural commands into physical or virtual actions.
- Research into low-impact BMI systems that balance high-fidelity data acquisition with user safety and comfort.
- Development of middleware for translating neural data across different systems and facilitating inter-brain communication.
- Exploration of novel sensor technologies for capturing neural and physiological signals with minimal invasiveness.
- Focus on ethical considerations and societal acceptance through public dialogue and guideline development.