Could AI Learn to Think Like a Brain—and Save the Planet?
What if the future of AI doesn’t just rely on more power, but on thinking more like us?
Chinese researchers have made a significant breakthrough by developing an AI model that mimics the behavior of human brain neurons, drastically reducing energy consumption compared to traditional silicon-based processors.
This "internal complexity model" leverages the efficient and complex dynamics of the brain, potentially shifting the AI paradigm from power-hungry systems to more sustainable, cognitively capable models.
The scientists, from the Chinese Academy of Sciences and Peking University, demonstrated that their model could perform as effectively as larger, energy-intensive networks while using a fraction of the power. This innovative approach could pave the way for AI that not only matches human cognitive abilities but also addresses the growing energy demands of AI systems.
As AI continues to evolve, could this brain-inspired model be the key to a more sustainable, smarter future?
Read the full article on Interesting Engineering.
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