Inclusive Brains
Combining AI, Quantum, and Neurotechnologies, IBM and Inclusive Brains Advance Knowledge of Brain-Machine Interfaces
In order to further enhance the functionality of multi-modal brain-machine interfaces (BMIs), IBM and Inclusive Brains have signed a joint study agreement to investigate cutting-edge artificial intelligence (AI) and quantum machine learning approaches. This partnership, which was announced on June 3, 2025, aims to improve the categorisation of patterns of brain activity.
This collaborative study’s main goal is innovation that has a good societal impact. BMIs have a great deal of promise to help people with impairments regain function, especially those who are unable to use their hands or voice. BMIs can assist users in regaining control over their environment by allowing them to operate linked gadgets and digital settings without the need for physical contact or voice commands. With the knowledge gained from this study, Inclusive Brains specifically seeks to increase access to educational and career opportunities. In addition to helping those who are paralysed, the partnership hopes to increase the general public’s ability to prevent physical and mental health problems by better classifying and comprehending patterns of brain activity.
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The collaborative project will improve Inclusive Brains‘ multimodal AI systems by utilising IBM AI and quantum technologies and experience. In order to promote greater autonomy and agency, these systems are being developed to enable real-time personalised modification of BMIs to each user’s particular needs and talents.
Evaluating the accuracy of brain activity classification in comparison to current models is one of the study’s key phases. In order to find the most effective machine learning algorithmic combinations for brain activity classification and interpretation, this entails using IBM Granite foundation models to produce, review, and establish benchmarks for code. The automatic selection of the best algorithms for specific users and their usage in “mental commands” to control workstations will also be the subject of the study.
The words “mental commands,” “mind-controlled,” and “mind-written” are simplified for the purposes of this study. They don’t mean that words or commands are directly read from brainwaves. These words refer to a multimodal AI system educated by brainwaves, eye movements, facial expressions, and other physiological information. The system uses these mixed signals to determine the user’s intent and act without touch or speech.
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To help the scientific community and the general public, the partnership also intends a number of open science research publications. Additionally, the project will look into quantum machine learning methods for classifying brain activity. Both organisations are dedicated to making sure the study complies with responsible technology guidelines, which include ethical considerations and suggestions for the responsible use of neurological data and neurotechnology.
The president of IBM France, Béatrice Kosowski, said she is proud to work with cutting-edge companies like Inclusive Brains and to responsibly provide access to IBM’s AI and quantum technologies in order to assist the advancement of healthcare.
According to Professor Olivier Oullier, CEO and co-founder of Inclusive Brains, the collaborative study will help create highly customised machine-user interactions, signalling a move towards custom solutions that accommodate each person’s demands, physique, and cognitive variety. In the past, Inclusive Brains has showcased their multimodal interface, Prometheus BCI, through public “mind-controlled” actions like tweeting, authoring a parliamentary amendment, and operating an arm exoskeleton.
BMIs provide a direct link between the brain and a computer, mostly for controlling external devices, and have become increasingly common in the last ten years. In addition to regaining function, they are effective instruments for examining basic issues of brain physiology, such as learning and neuronal behaviour. The capabilities and accessibility of these exciting technologies will be further enhanced by this collaborative study.
In conclusion
The advancement of brain-machine interface (BMI) technology was the focus of IBM and Inclusive Brains. Through the use of cutting-edge AI and quantum machine learning techniques, the cooperation seeks to improve the classification of patterns of brain activity. By enabling “mental commands” based on deciphered physiological signals, one of the main objectives is to increase accessibility and inclusion for people with disabilities. The study also highlights how crucial ethical and responsible technology use is when using neurotechnology.
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