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Computing brains: learning algorithms and neurocomputation in the smart city

机译:计算大脑:智慧城市中的学习算法和神经计算

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This article examines IBM's 'Smarter Education' program, part of its wider 'Smarter Cities' agenda, focusing specifically on its learning analytics applications (based on machine learning algorithms) and cognitive computing developments for education (which take inspiration from neuroscience for the design of brain-like neural networks algorithms and neurocomputational devices). The article conceptualizes the relationship between learning algorithms, neuroscience, and the new learning spaces of the city by combining the notion of programmable 'code/space' with ideas about the 'social life of the brain' to suggest that new kinds of 'brain/code/spaces' are being developed where the environment itself is imagined to possess brain-like functions of learning and 'human qualities' of cognition performed by algorithmic processes. IBM's ambitions for education constitute a sociotechnical imaginary of a 'cognitive classroom' where the practices associated with data analytics and cognitive computing in the smart city are being translated into the neuropedagogic brain/code/spaces of the school, with significant consequences for how learners are to be addressed and acted upon. The IBM imaginary of Smarter Education is one significant instantiation of emerging smart cities that are to be governed by neurocomputational processes modelled on neuroscientific insights into the brain's plasticity for learning, and part of a 'neurofuture' in-the-making where nonconscious algorithmic 'computing brains' embedded in urban space are intended to interact with human cognition and brain functioning.
机译:本文研究了IBM的“智慧教育”计划,这是其更广泛的“智慧城市”议程的一部分,特别关注其学习分析应用程序(基于机器学习算法)和认知计算的教育发展(这些灵感来自于神经科学的设计)。类脑神经网络算法和神经计算设备)。这篇文章通过将可编程的“代码/空间”概念与关于“大脑的社会生活”的思想相结合,提出了学习算法,神经科学和城市新学习空间之间的关系,从而提出了新型的“大脑/在开发代码/空间时,可以想象环境本身具有类似于大脑的学习功能和通过算法过程执行的“人性化”认知。 IBM的教育野心构成了“认知教室”的社会技术想象,其中将智慧城市中与数据分析和认知计算相关的实践转换为学校的神经教学脑/代码/空间,这对学习者的学习方式将产生重大影响解决并采取行动。 IBM的“智慧教育”设想是新兴智慧城市的重要实例之一,这些新兴智慧城市将由以对大脑可塑性进行学习的神经科学洞察力为模型的神经计算过程控制,并且是“神经未来”开发的一部分,其中无意识算法“计算”大脑嵌入城市空间旨在与人类的认知和大脑功能进行交互。

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