On World Meditation Day, 21 December, All Here announced the launch of the Bio-Intelligence Initiative during an inaugural gathering of the All Here Quantified Meditation Society — a research program exploring how stable, measurable states of human attention, cultivated through advanced meditation, can inform the development of energy-efficient, biologically inspired intelligence systems.
As artificial intelligence systems continue to scale through increased computing power and energy consumption, All Here is advancing an alternative research pathway grounded in the principles of biological intelligence. The Bio-Intelligence Initiative investigates how coherent and low-noise neural states observed in the human brain can serve as reference models for training emerging biocomputing and bio-artificial intelligence systems, drawing in particular on the complex neural signatures observed in deep meditative states.
“Biological intelligence operates with extraordinary efficiency, coherence, and adaptability,” said Erkin Bek, Founder of All Here and the World Meditation League. “Through advanced meditation, the human brain can reliably enter stable yet complex states that modern neuroscience is now able to observe and characterize with high precision. Our initiative explores how these states may help create training models and guide the development of future intelligence systems that are not only more efficient, but also more adaptive.”
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Research Focus
The All Here Bio-Intelligence Initiative approaches meditation not as a philosophical practice, but as a scientifically supported and repeatable method for inducing identifiable neural signatures. These signatures—associated with sustained attention, self-regulation, neural coherence, and low-noise dynamics—are studied as potential blueprints for training models in biological computing systems composed of living human neurons and stem-cell-derived organoids.
Rather than relying on traditional brute-force computation, the initiative explores training frameworks inspired by how the human brain naturally self-organizes under conditions of disciplined attention.
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Collaboration and Interdisciplinary Research
The initiative is conducted in collaboration with leading neurobiologists, neuroscientists, and artificial intelligence experts in Switzerland and internationally. By bridging neuroscience, meditation research, and emerging biocomputing technologies, All Here aims to contribute foundational knowledge to the field of next-generation BioAI.
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Addressing the Limits of Silicon-Based AI
Despite rapid progress, silicon-based AI systems increasingly depend on large-scale data centers and escalating energy demands. These approaches lack the adaptive efficiency and self-organizing dynamics inherent to biological intelligence.
The Bio-Intelligence Initiative responds to this challenge by advancing biologically inspired models that emphasize coherence, adaptability, and energy efficiency, offering a research pathway toward more sustainable and adaptive intelligent systems.
Stay tuned for our official press release in January 2026, where we will share further details and research directions.
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