Neuromorphic computing may advance AI to new levels whilst crucially keeping down the computational costs. This results in a much lower energy consumption and hence carbon footprint for AI.
@deeplearn007
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Neuromorphic AI vs Transformers for AGI Development
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RL combined with Transformers and some form of symbolic logic may get us closer to AGI but it is an inefficient approach compared to going for neuromorphic AI to get closer to the human level brain.
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AI as objective screening tool for early child psychiatry diagnosis
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“The findings support using AI as an objective screening tool for early diagnosis, especially when access to a specialist child psychiatrist is limited.” @pierrepinna
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Biology inspired architecture for efficient AI scaling
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Biology inspired architecture is key for efficient scaling of AI. Biological networks self-assemble and create highly complex systems all grown from a single initial cell. “To put this into perspective, the human brain’s 100 trillion neural connections are encoded by merely
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AGI Energy Efficiency: Essential Benchmark for Human-Level AI
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AI research is constantly advancing, albeit an effective benchmark standard for human level AGI capabilities should also entail matching human brain energy efficiency so as to allow for cost effective scaling and low carbon footprint. @ylecun @pierrepinna @ahier @SpirosMargaris
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Evaluating DeepMind’s AI Breakthrough Claims and AGI Progress
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@Alan_Couzens thank you for your summary & thoughts. As you point out without further details it is hard to evaluate whether it is a genuinely new AI breakthrough and pathway towards AGI. And let’s recall there were many announcements from DeepMind a few years ago relating to
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Generative AI Development Must Prioritize Energy Efficiency
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Whilst Generative AI is an exciting and rapidly advancing field, one hopes that Generative AI model development will increasingly focus on resource and energy efficiency hence enabling the technology to efficiently scale.
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AGI Perspective: How Advanced AI Views Humanity and Animal Intelligence
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I agree with not eating either. One wonders what an advanced AI system such as an AGI would think about humans? Humans often ponder about intelligent life elsewhere in the universe whilst overlooking other intelligent creatures on our own planet.
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AI Model Development Energy Consumption Carbon Footprint Alignment
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AI model development, energy consumption and carbon footprint should align.
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Transitioning to Energy Efficient AI Systems
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This is why we should transition to energy efficient AI https://t.co/mU1H4ulTW8
— AI (@DeepLearn007) 19 novembre 2023This is why we should transition to energy efficient AI