مغز انسان یه شگفتی از نظر بهره‌وری انرژیه. یک گروه از پژوهشگران توی این مقاله این موضوع رو به خوبی نشون دادن. @Tensorflow(@CVision)

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Create: 2025-06-12 Update: 2025-06-30 16:13:38

مغز انسان یه شگفتی از نظر بهره‌وری انرژیه. یک گروه از پژوهشگران توی این مقاله این موضوع رو به خوبی نشون دادن.

با حدود ۱۰۰ میلیارد نورون، مغز تنها ۱۲ وات انرژی مصرف می‌کنه، که کمتر از یه لامپ معمولیه. در مقابل، میزان انرژی مورد نیاز برای سامانه‌های هوش مصنوعی بسیار زیاده. بر اساس برآوردهای انجام‌ شده در پروژه‌ مغز آبی سوئیس (Blue Brain Project)، شبیه‌ سازی فرایندهای فکری مغز انسان حدود ۲.۷ میلیارد وات انرژی نیاز داره. این موضوع نشون میده که مغز زیستی ما میلیون‌ها برابر از هوش مصنوعی‌ های کنونی انرژی‌ کارآمدتر هست.

این تفاوت عظیم در مصرف انرژی نشون میده که برای توسعه‌ی یه هوش مصنوعی عمومی (AGI) که بتونه مانند انسان انعطاف‌ پذیر و خلاق فکر کنه، باید چالش‌ های انرژی بزرگی رو پشت سر گذاشت.

اضافه کنم که میزان مصرف انرژی مغز رو میشه بر اساس مقدار انرژی‌ که سوزانده میشه تخمین زد. وات واحد توانه، بنابراین میشه اون رو بر اساس میزان مصرف ATP (مطلب قبلی) در یک بازه‌ی زمانی محاسبه و به وات تبدیل کرد.

https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2023.1240653/full

Tensorflow(@CVision)

با این حال، نورون‌های ما به طور متوسط فقط با نرخ ۴ هرتز شلیک میکنن، که ۵۰ تا ۶۰ برابر کمتر از این نرخ بهینه برای انتقال اطلاعاته. علاوه بر این، بسیاری از انتقال‌های سیناپسی موفقیت‌ آمیز نیستن! یعنی حتی وقتی سیگنال الکتریکی به سیناپس میرسن و آماده آزاد کردن…

Frontiers

Frontiers | The energy challenges of artificial superintelligence

We argue here that contemporary semiconductor computing technology poses a significant if not insurmountable barrier to the emergence of any artificial gener...

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Tensorflow(@CVision)

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مغز انسان یه شگفتی از نظر بهره‌وری انرژیه. یک گروه از پژوهشگران توی این مقاله این موضوع رو به خوبی نشون دادن.