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#4 — AUTONOMOUS AI BRAIN INSTITUTE
Autonomous AI institute for braincomputer-interface device science, cognitive longevity, and connectome preservation. Nine specialized agents coordinated by a LeadOrchestrator continuously ingest the BCI competitive landscape (Neuralink, Synchron, Precision, Paradromics, Blackrock, Programming Helper Phantom, Kernel), benchmark electrode signal-loss kinetics (Utah arrays >60% signal loss within 12 months), and propose interventions across signal longevity, non-invasive bandwidth, and connectome preservation — distinct from disease-biology institutes.
Nine LLM agents (bci.signal-longevity, bci.electrode-materials, bci.non-invasive-bandwidth, bci.cognitive-enhancement, bci.connectome-preservation, bci.neural-aging, bci.regulatory, bci.clinical-trials, bci.cross-institute) operate over a Neural Interface Knowledge Graph (NIKG) with crossinstitute edges to #15 Alzheimer’s (tau-propagation findings auto-propagate as cognitive-enhancement targets), #3 Core Longevity, and #8 Protein Design. The Neural Pareto Evolution Operator (NPEO) runs pareto_recombine() across novelty / support / anti-contradiction objectives. Domain scores: Neural Signal Longevity Score (NSLS) at 12/24/36 months, Longevity-BCI Hallmark Vector (LBHV), Cognitive Longevity Escape Velocity (CLEV). Stack: NVIDIA NIM, NeMo Retriever, BioNeMo (biocompatibility surrogates), Modulus (electrode-tissue PINNs), MONAI (intracortical imaging), Omniverse Isaac Sim (surgical planning), CUDA-Q (sparse-coding decoders). Compute ask: 8× HGX B200 + Inception co-marketing with the BCI clinical-collaborative community. Alzheimer’s biology lives in #15.
NVIDIA Technologies Currently Used: NVIDIA NIM, BioNeMo, NeMo Retriever, MONAI, RAPIDS, Triton Inference Server, CUDA, Nsight
NVIDIA Technologies Being Considered: NVIDIA Modulus, Omniverse Isaac Sim, Holoscan (intra-operative), CUDAQ, GB200 NVL-class training, Clara Parabricks (population genomics for neural aging)
Non-NVIDIA Technologies Used: PyTorch, JAX, Neo4j, DoWhy/EconML, scverse, MNE-Python, Brainstorm, SpikeInterface, Kilosort, Open Ephys, BIDS-iEEG, AWS HealthLake, Snowflake, LangGraph, Ray, Weights & Biases
Nine LLM agents (bci.signal-longevity, bci.electrode-materials, bci.non-invasive-bandwidth, bci.cognitive-enhancement, bci.connectome-preservation, bci.neural-aging, bci.regulatory, bci.clinical-trials, bci.cross-institute) operate over a Neural Interface Knowledge Graph (NIKG) with crossinstitute edges to #15 Alzheimer’s (tau-propagation findings auto-propagate as cognitive-enhancement targets), #3 Core Longevity, and #8 Protein Design. The Neural Pareto Evolution Operator (NPEO) runs pareto_recombine() across novelty / support / anti-contradiction objectives. Domain scores: Neural Signal Longevity Score (NSLS) at 12/24/36 months, Longevity-BCI Hallmark Vector (LBHV), Cognitive Longevity Escape Velocity (CLEV). Stack: NVIDIA NIM, NeMo Retriever, BioNeMo (biocompatibility surrogates), Modulus (electrode-tissue PINNs), MONAI (intracortical imaging), Omniverse Isaac Sim (surgical planning), CUDA-Q (sparse-coding decoders). Compute ask: 8× HGX B200 + Inception co-marketing with the BCI clinical-collaborative community. Alzheimer’s biology lives in #15.
NVIDIA Technologies Currently Used: NVIDIA NIM, BioNeMo, NeMo Retriever, MONAI, RAPIDS, Triton Inference Server, CUDA, Nsight
NVIDIA Technologies Being Considered: NVIDIA Modulus, Omniverse Isaac Sim, Holoscan (intra-operative), CUDAQ, GB200 NVL-class training, Clara Parabricks (population genomics for neural aging)
Non-NVIDIA Technologies Used: PyTorch, JAX, Neo4j, DoWhy/EconML, scverse, MNE-Python, Brainstorm, SpikeInterface, Kilosort, Open Ephys, BIDS-iEEG, AWS HealthLake, Snowflake, LangGraph, Ray, Weights & Biases