Million Minds
Million Minds aims to deliver AI that learns more like the brain, using neuroscience principles to improve efficiency and adaptability. It achieves this through a biologically inspired framework built from sensorimotor, analog processing with repeating cortical structures and sparse encoding, incorporating mechanisms like homeostasis, co-firing, predictive state, oscillation, and layering. As a SaaS platform, it targets AI development teams and enterprise research groups looking to build world models with low data, energy, and memory usage. The approach is modality agnostic and scalable toward continuous learning, multi-modal inputs, and future hardware integration.
Million Minds
Million Minds aims to deliver AI that learns more like the brain, using neuroscience principles to improve efficiency and adaptability. It achieves this through a biologically inspired framework built from sensorimotor, analog processing with repeating cortical structures and sparse encoding, incorporating mechanisms like homeostasis, co-firing, predictive state, oscillation, and layering. As a SaaS platform, it targets AI development teams and enterprise research groups looking to build world models with low data, energy, and memory usage. The approach is modality agnostic and scalable toward continuous learning, multi-modal inputs, and future hardware integration.