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\"In The Interface Envelope, James Ash develops a series of concepts to understand how digital interfaces work to shape the spatial and temporal perception of players. Drawing upon examples from videogame design and work from post-phenomenology, speculative realism, new materialism and media theory, Ash argues that interfaces create envelopes, or localised foldings of space time, around which bodily and perceptual capacities are organised for the explicit production of economic profit. Modifying and developing Bernard Stiegler's account of psychopower and Warren Neidich's account of neuropower, Ash argues the aim of interface designers and publishers is the production of envelope power. Envelope power refers to the ways that interfaces in games are designed to increase users perceptual and habitual capacities to sense difference. Examining a range of examples from specific videogames, Ash identities a series of logics that are key to producing envelope power and shows how these logics have intensified over the last thirty years. In turn, Ash suggests that the logics of interface envelopes in videogames are spreading to other types of interface. In doing so life becomes enveloped as the environments people inhabit becoming increasingly loaded with digital interfaces. Rather than simply negative, Ash develops a series of responses to the potential problematics of interface envelopes and envelope power and emphasizes their pharmacological nature\"-- Provided by publisher.

In Phase Media, James Ash theorizes how smart objects, understood as Internet-connected and sensor-enabled devices, are altering users' experience of their environment. Rather than networks connected by lines of transmission, smart objects generate phases, understood as space-times that modulate the spatio-temporal intelligibility of both humans and non-humans. Examining a range of objects and services from the Apple Watch to Nest Cam to Uber, Ash suggests that the modulation of spatio-temporal intelligibility is partly shaped by the commercial logics of the industries that design and manufacture smart objects, but can also exceed them. Drawing upon the work of Martin Heidegger, Gilbert Simondon and Bruno Latour, Ash argues that smart objects have their own phase politics, which offer opportunities for new forms of public to emerge. Phase Media develops a conceptual vocabulary to contend that smart objects do more than just enabling a world of increased corporate control and surveillance, as they also provide the tools to expose and re-order the very logics and procedures that created them.

James Ash theorizes how smart objects, understood as Internet-connected and sensor-enabled devices, are altering users' experience of their environment. Rather than networks connected by lines of transmission, smart objects generate phases, understood as space-times that modulate the spatio-temporal intelligibility of both humans and non-humans. Examining a range of objects and services from the Apple Watch to Nest Cam to Uber, Ash suggests that the modulation of spatio-temporal intelligibility is partly shaped by the commercial logics of the industries that design and manufacture smart objects, but can also exceed them. Drawing upon the work of Martin Heidegger, Gilbert Simondon and Bruno Latour, Ash argues that smart objects have their own phase politics, which offer opportunities for new forms of public to emerge. Phase Media develops a conceptual vocabulary to contend that smart objects do more than just enabling a world of increased corporate control and surveillance, as they also provide the tools to expose and re-order the very logics and procedures that created them.

This article interrogates the concept of technical memory in relation to smart city systems. Using the example of the UK air pollution monitoring system Automatic Urban and Rural Network (AURN) and how information from this system is displayed in smartphone air monitoring apps, the article theorizes the memory of smart systems. Developing the work of Garcia, the article rethinks Stiegler's retentional accounts of technical memory, which suggest that memory is held or inscribed on or within a particular technical object. To do this it argues that technical memory can be productively considered as a form of artificial comprehension. Here, the memory of smart systems is analyzed through a variety of logics that disclose particular qualities of objects for particular purposes, which shapes how people make sense of and respond to their environment. Through the example of AURN, the article suggests that the concept of artificial comprehension is useful for geographers studying a range of smart and nonsmart technical systems. Key Words: air pollution, apps, Smart City, smartphones, technical memory. 本文探讨关于智能城市系统的科技记忆之概念。本文运用英国空气污染监测系统\"自动城乡网\" (AURN) 以及此一系统的信息如何在智能手机监测应用软件中展现之案例，理论化智能系统的记忆。本文发展加西亚的研究，再思考施蒂格勒的科技记忆的保留之说法，该说法指出记忆是保存在特定科技物品之内、抑或铭刻在该物品之上或之中。为了达到上述目的，本文主张，科技记忆能够具生产性地考量为人工理解的形式。于此，智能系统的记忆，通过为了特定目的揭露物品的特定品质的一系列逻辑进行分析，这些逻辑形塑人们如何理解并回应其所处环境的方式。本文通过AURN的案例，主张智能理解的概念，对于研究一系列智能与非智能科技系统的地理学者而言相当有用。 关键词: 空气污染, 应用软件, 智能城市, 智能手机, 科技记忆。 Este artículo examina el concepto de memoria técnica en relación con los sistemas de las ciudades inteligentes. Usando el ejemplo de la Red Urbana y Rural Automática (AURN) del sistema de monitoreo de polución aérea del RU y el modo como la información de este sistema se despliega en las aplicaciones de monitoreo del aire en los teléfonos inteligentes, el artículo teoriza la memoria de los sistemas inteligentes. Desarrollando el trabajo de García, el artículo repiensa los recuentos retencionales de Stiegler sobre memoria técnica, que sugieren que la memoria técnica es conservada o inscrita en o dentro de un objeto técnico particular. Para hacer esto se arguye que la memoria técnica puede ser considerada productivamente como una forma de comprensión artificial. En este caso, la memoria de los sistemas inteligentes se analiza a través de una variedad de lógicas que revelan las cualidades particulares de los objetos para propósitos particulares, las cuales expresan cómo la gente le encuentra sentido a su entorno, y reacciona ante el mismo. Por medio del ejemplo de la AURN, el artículo sugiere que el concepto de comprensión artificial es de utilidad a los geógrafos que estudian una gama de sistemas técnicos inteligentes y convencionales. Palabras clave: polución aérea, aplicaciones, Ciudad Inteligente, teléfonos inteligentes, memoria técnica.