Brain-inspired M2I reshapes AI with human-like memory and reasoning powers.

Inspired by the mysteries of human memory, this next-gen AI architecture is poised to leap beyond the limitations of current large models like ChatGPT. Dive into a future where AI doesn't just compute - it remembers, adapts, and truly thinks (1✔ ✔Trusted Source
Machine and cognitive intelligence for human health: systematic review
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‘Did You Know?
Just 20 watts to run the human brain — M2I aims to make AI just as smart and efficient.#medindia #aiinnovation’

Just 20 watts to run the human brain — M2I aims to make AI just as smart and efficient.#medindia #aiinnovation’





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Today’s AI Needs a Brain Upgrade
Researchers propose the machine memory intelligence (M2I) framework to address limitations in AI models like ChatGPT, such as excessive data consumption, forgetting, and logical reasoning. M2I aims to liberate machine intelligence from data-centric neural networks, breaking through limitations in existing models. The framework enhances adaptability and interpretability.Advertisements
Blueprint of Machine Memory Intelligence (M2I)
Inspired by how our brains store and recall memories, M2I introduces a revolutionary AI framework structured around memory — not just data. It features three key modules: representation, learning, and reasoning, all working in dynamic feedback loops. This system can abstract, associate, and update knowledge just like ourAdvertisements
Building a Brain in a Machine
M2I taps into decades of brain research to simulate how we remember, learn, and reason. From the hippocampus to synaptic plasticity, neuroscience offers a goldmine of strategies for encoding and retrieving memories.M2I adopts these mechanisms - like associative representation, replay-based learning, and fuzzy hash retrieval - to build machine memory that evolves, self-corrects, and even dreams like us. It's not just AI anymore — it's artificial intelligence with memory.
Reference:
- Machine and cognitive intelligence for human health: systematic review - (https://pubmed.ncbi.nlm.nih.gov/35150379/)
Source-Higher Education Press