Researchers Propose AI With Human-Like Life Cycle

New model aims to create AI that develops personality, sleeps, and eventually dies.

Apr. 15, 2026 at 9:24pm by

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A highly structured abstract painting featuring sweeping geometric arcs, concentric circles, and precise botanical spirals in earthy tones of green, brown, and blue, conceptually representing the complex interplay of AI systems and human brain structures.An abstract visualization of the proposed AI system that mimics the human brain's structure and learning processes, blending technology and biology into an ever-evolving, personalized assistant.Portland Today

Researchers from the LNM Institute of Information Technology and the Indian Institute of Information Technology have proposed a new model for AI that mimics the human brain and life cycle. The model pairs different AI systems with their functional equivalents in the human brain, allowing the AI to develop a personality, sleep, dream, and eventually 'die' when the system is stopped. The goal is to create an AI assistant that progressively adapts to the user over time, rather than a rigid input-output machine.

Why it matters

This research represents a shift in the approach to artificial general intelligence (AGI), moving away from the idea of AI eventually surpassing human intelligence. Instead, the researchers believe that by replicating the human brain's structure and learning processes, AI can become a more organic, ever-evolving assistant that better suits individual users' needs. This could lead to more personalized and adaptive AI systems in the future.

The details

The researchers drew parallels between AI models and nearly two dozen brain structures, processes, hormones, and neurotransmitters. For example, the visual cortex could be paired with Google DeepMind's vision-language model (VLM), PaliGemma. 'REM sleep' would play out via synthetic generation, where the AI generates text, images, and videos similar to how our brains create dream scenes. The researchers also focused on global workspace theory (GWT), a leading theoretical framework in consciousness research, to help explain how the AI's 'consciousness' and memory would function.

  • The research paper was published earlier this year in the International Journal of Transdisciplinary Research and Perspectives.

The players

Krrish Choudhary

A computer scientist at the LNM Institute of Information Technology in Jaipur, India, and the co-author of the research paper.

Tanvi Kandoi

A co-author of the research paper, from the Indian Institute of Information Technology.

Versace AGI

A company founded by Krrish Choudhary to scale up the ideas proposed in the research paper into a working system.

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What they’re saying

“The architecture described in the paper… organizes intelligence into specialized subsystems, closely mirroring the functional layout of the brain. This differs sharply from neuromorphic computing… instead, our approach focuses on functional equivalence, using existing AI components to reconstruct the organizational logic of the brain.”

— Krrish Choudhary, Computer scientist, LNM Institute of Information Technology

What’s next

The researchers are working to scale up their ideas into a working AI system through Choudhary's company, Versace AGI. Other research institutions, such as the Netherlands Institute for Neuroscience and Johns Hopkins University, are also exploring ways to leverage the human brain's learning abilities to develop more adaptive and personalized AI.

The takeaway

This research represents a shift in the approach to artificial general intelligence, moving away from the idea of AI eventually surpassing human intelligence. By replicating the human brain's structure and learning processes, the researchers aim to create AI assistants that are more organic, adaptive, and personalized to individual users' needs, rather than rigid input-output machines.