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- The Moonshot Project is an advanced research initiative to develop brain co-processors—devices that interface with the human brain to decode neural signals, process them using AI, and stimulate the brain to restore lost functions.
- It combines neuromorphic computing, artificial intelligence, neuroscience, and bioelectronics to create closed-loop brain–machine systems.
Launched by:
- The project is led by the Indian Institute of Science.
- It is funded by the Pratiksha Trust, founded by Kris Gopalakrishnan and Sudha Gopalakrishnan.
Aim:
- To develop AI-driven brain co-processors that restore cognitive and motor functions, especially in patients affected by neurological disorders such as stroke.
- To build indigenous neurotechnology solutions suited for clinical use in India and other low-resource healthcare systems.
Key features:
- Neuromorphic hardware + AI algorithms – Devices mimic brain-like computing systems to process neural signals efficiently.
- Closed-loop brain interface – The system decodes brain signals, processes them using AI, and sends feedback via neural stimulation or neurofeedback.
- Implantable and non-invasive versions – Development of both external devices and minimally invasive implants.
- Stroke rehabilitation focus – Designed to restore sensorimotor functions such as reaching and grasping in stroke survivors.
- Creation of neural datasets – Development of India-specific stereo EEG and ECoG brain-signal databases.
- Open digital tools – AI tools, datasets, and visualization platforms will be developed as open digital public goods.
- Two-phase development plan
- Phase 1: Non-invasive neural co-processor for sensorimotor feedback.
- Phase 2: Minimally invasive embedded implant to restore coordination in chronic stroke patients.
Significance:
- Positions India at the frontier of AI-driven brain-machine interface research.
- Could transform stroke rehabilitation and treatment of neurological disorders.