A “Focused Research Organization” for Superconducting Optoelectronic Intelligence
Artificial intelligence places strenuous demands on current computing hardware, but the integration of semiconductors, superconductors, and optical hardware will create revolutionary new tools for AI.
Problem Statement
数字计算机非常适合数字处理，但是它们的操作和架构与支持情报的操作形成对比。当用于AI时，需要大量的能量，数据和时间才能培训新型号。同时，计算神经科学领域依靠这些数字计算机来模拟认知。由于基本的计算硬件与突触，树突和神经元的操作匹配很差，因此随着时间和能量的出现同样的问题。我们可以通过计算机硬件的进步来满足这两个需求。
Project Concept
我们可以通过计算机硬件的进步来满足这两个需求。Our approach builds upon the silicon transistors of digital computing, adding superconducting circuitry to accomplish neural computations, and optical components to realize extensive communication across human-brain-scale systems. We have already made substantial progress in demonstrating key components and are ready to scale to a multiyear effort to integrate into a chip-scale cortex (see slides).
您可以了解有关超导光电网络的更多信息在这个幻灯片甲板上。
什么是专注的研究组织？
Focused Research Organizations (FROs) are time-limited mission-focused research teams organized like a startup to tackle a specific mid-scale science or technology challenge. FRO projects seek to produce transformative new tools, technologies, processes, or datasets that serve as public goods, creating new capabilities for the research community with the goal of accelerating scientific and technological progress more broadly. Crucially, FRO projects are those that often fall between the cracks left by existing research funding sources due to conflicting incentives, processes, mission, or culture. There are likely a large range of possible project concepts for which agencies could leverage FRO-style entities to achieve their mission and advance scientific progress.
This project is suited for a FRO-style approachbecause the integration of semiconductors, superconductors, and optical hardware is beyond the scope of a single academic or government research group, and this endeavor will require appreciable investment in awell-orchestrated, focused team, more akin to a startup. However, given the complexity of the technology, five years will be required to bring a competitive product to market, which isstill too early for venture capitalists. Because AI hardware is well-established and continuously improving, gaining market traction will require not only superior hardware, but also streamlined software and user interfaces. An FRO is the ideal context to pursue a complete system meeting the needs of a large and diverse pool of users.
How This Project Will Benefit Scientific Progress
通过实现超导反向光电网络，我们将实现具有比当今最大的超级计算簇相比，具有更大的计算能力的认知AI，而仅消耗了其功能的一小部分。我们技术的持续扩展不会以环境伤害为代价。全国各地的科学家，工程师和企业家将可以使用一种革命性的新工具来解释和分析复杂的多模式数据集。这种先进的AI形式将改变我们提供医疗保健，利用能源，模型地球气候等的方式。超导光电硬件将自硅以来最大的计算过渡，为计算功能提供强大的工具，并进行了实验性测试台，以阐明我们自己思维的机制。
Key Contacts
Author
- Dr. Jeffrey Shainline, NIST,jeffrey.shainline@nist.gov
Referrers
- Matt Hourihan, Federation of American Scientists,mhourihan@www.tumejico.com
- Alice Wu, Federation of American Scientists,awu@www.tumejico.com
Learn more about FROs, and see our full library of FRO project proposals here.
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