Key Highlights
- Breakthrough AI-Neurotech Integration: IBM and Inclusive Brains launch a joint study leveraging quantum and AI to enhance real-time brain activity classification and adaptive multimodal brain-machine interfaces.
- Pioneering Personalized Accessibility: The study enables “mental command” control of digital environments, targeting better autonomy and inclusivity for people with physical or speech limitations.
- Responsible AI & Neuroethics: Built with IBM’s ethical AI principles, the initiative ensures secure neural data use, aligning with cutting-edge neurotechnology policy recommendations.
Advancing Accessibility Through Multimodal AI and Brain-Machine Interfaces
The collaboration aims to improve the classification accuracy of brain activity patterns by integrating IBM’s AI and quantum tools with Inclusive Brains’ non-invasive multimodal neurotech. These adaptive interfaces analyze brainwaves, facial expressions, eye movements, and physiological signals to infer user intent, enabling “mental command” operations for those with motor or speech disabilities. This breakthrough shifts brain-computer interaction from generic to personalized, accessible interfaces—improving autonomy in professional and personal environments.
Harnessing Quantum AI for Enhanced Brain Signal Interpretation
The joint research uses IBM Granite foundation models and quantum machine learning to generate and validate code, simulating vast combinations of machine learning algorithms. The goal is to automate and personalize algorithm selection for each user, optimizing “mental commands” to control devices and environments with improved accuracy and speed. Benchmarking at scale supports advanced interpretation of neurophysiological signals, helping create more intuitive and responsive brain-machine interfaces.
Empowering Social Inclusion and Mental Health Monitoring
The partnership highlights Inclusive Brains’ mission to offer cognitive agents capable of tracking stress, attention, and fatigue levels in real time. By enhancing signal classification and adapting AI in real time, the technology contributes to better mental health management and greater inclusion in education and employment for people with disabilities. These solutions aim to extend benefits beyond assistive technologies, enabling mental wellness monitoring at scale.
Open Science and Ethical Framework for Neuro-AI Integration
The study will generate open-access publications to advance the scientific understanding of neuro-AI and guide ethical neurotech development. It reinforces IBM’s and Inclusive Brains’ commitment to responsible AI deployment, aligned with prior whitepapers on neuroprivacy and ethical innovation. The project stands as a model for applying frontier technologies like quantum and AI within a strong governance framework, emphasizing both performance and privacy.
Visit www.inclusive-brains.com and ibm.com for more details.
By