Computing Now Archives
The Computing Now platform is no longer available, but the archives below deliver access to past content. Future content, including peer reviewed research and award winning papers, is available in Tech News.

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By Theresa-Marie Rhyne and Min Chen
Visualization is the study of the transformation of data to visual representations. These visual elements are then used to gain insight into and from the data. In the 30 years since the landmark “Visualization in Scientific Computing” report in which the National Science Foundation Panel on Graphics, Image Processing, and…
By Christian Timmerer and Ali C. Begen
Universal media access, as proposed and discussed in the late 1990s and early 2000s, is now a reality. It is very easy to generate, distribute, share, and consume any media content, anywhere, anytime, and on any device. Most of these real-time entertainment services (streaming audio and video) are typically deployed…
By Arkady Zaslavsky and Prem Jayaraman
One of major advantages of the Internet of Things (IoT) is its massive data-gathering capability. IoT data, when complemented with relevant contextual information, can support business decisions with accurate, dependable, relevant, and timely information for enabling predictive, prescriptive, and other forms of analytics. Improving IoT systems through context-awareness is one…
By Giri Kumar Tayi and P. Radha Krishna
多年来,各类机构和企业已经采用基本的数据分析工具来揭示简单的规律和趋势。对更多数据和和更好分析的需求逐年增长,现在大多数现代组织机构都跟踪和记录几乎所有类型的数据,包括事务、点击流、社交媒体、音频、 视频、传感器、文本、图像等。不断增加的数据规模以及数据源的多样性,使得提取有用信息和洞见的挑战和复杂性日益增长。
By Giri Kumar Tayi and P. Radha Krishna
Las organizaciones y las empresas han estado utilizando una analítica de datos básica desde hace muchos años para descubrir percepciones y tendencias simples. El apetito por más datos y una mejor analítica ha crecido a través de los años, y las organizaciones más modernas realizan un seguimiento y registran los…
By Giri Kumar Tayi and P. Radha Krishna
Organizations and companies have been using basic data analytics for years to uncover simple insights and trends. The appetite for more data and better analytics has grown over the years, and now most modern organizations track and record nearly all types of data: transactional, clickstream, social media, audio, video, sensor,…
By Roger B. Dannenberg 和 Timothy K. Shih
虚拟现实(VR)、增强现实(AR)和混合现实(MR)系统为用户提供了逼真的模拟。众所周知,VR / AR / MR的典型应用是游戏,但你是否知道他们还可以用于创建虚拟乐器(VMI)呢? 虚拟乐器可能会也可能不会直接模仿传统的真实乐器。真实乐器可以产生美丽的音乐,但是受到物理和声学限制,学习真实乐器也很难。而通过消除许多这些限制,虚拟乐器设计人员可以专注于新的挑战,例如
By Roger B. Dannenberg and Timothy K. Shih
Los sistemas de Realidad Virtual (VR), Realidad Aumentada (AR) y Realidad Mezclada (MR) le presentan a los usuarios simulaciones realistas. La aplicación más usual es la de Juegos, pero, ¿Sabía que la VR/AR/MR pueden crear también instrumentos musicales virtuales (VMIs)? Los VMIs pueden o no imitar a los instrumentos físicos…
By Roger B. Dannenberg and Timothy K. Shih
Virtual reality (VR), augmented reality (AR), and mixed reality (MR) systems present users with realistic simulations. The most common application is gaming, but did you know that VR/AR/MR can also create virtual musical instruments (VMIs)? VMIs may or may not mimic traditional physical musical instruments. Physical instruments can produce beautiful…
By Cecilia Metra
El escalado de la tecnología microelectrónica según la Ley de Moore permite incrementar el desempeño y la complejidad de los microprocesadores, allanando el camino para aplicaciones innovadoras que eran impensables solo algunos años atrás. Actualmente estamos rodeados por dispositivos electrónicos que intercambian datos entre ellos por medio de la Internet,…
By Cecilia Metra
Microelectronic technology’s ongoing scaling according to Moore’s Law enables increasing microprocessor performance and complexity, paving the way for innovative applications that were unthinkable just a few years ago. Today, we are surrounded by electronic devices that exchange data with one another via the Internet, creating the Internet of Things (IoT).…
By Cecilia Metra
微电子技术的特征尺寸根据摩尔定律继续缩小,促使微处理器性能和复杂性持续提升,为几年前还无法想象的创新应用铺平道路。现今,我们被电子设备所包围,它们通过互联网互相交换数据,物联网(IoT)就此诞生。许多公司和分析师预测物联网及其产生的数据将大幅增长——预计到2020年,物联网连接的设备数量将达到200亿到到300亿之间。如何以可靠的方式存储如此巨量的数据将是一个重大挑战。
By Jeffrey Heer
诺贝尔经济学奖得主赫伯特·西蒙(Herbert Simon)曾对与过量信息如影相随的“注意力缺乏”有过精彩论述,这一观念用在当下的大数据时代再合适不过了。随着我们产生、存储和处理大量数据能力的日益提高,我们也需要从数据中提取可靠和可用的知识与见解。
By Jeffrey Heer
El economista ganador del Premio Nobel, Herbert Simon, describió famosamente la “pobreza en la atención” que acompaña a la superabundancia de la información. Este concepto se aplica, ciertamente, a la era actual de los Grandes Datos. En la medida en que nuestra capacidad para generar, almacenar y procesar bastas cantidad…
By Jeffrey Heer
Nobel Prize-winning economist Herbert Simon famously described the “poverty of attention” that accompanies an overabundance of information. This concept certainly applies to today’s Big Data era. As our capacity to generate, store, and process vast amounts of data increases, we need new techniques to derive reliable and actionable insights from…
By Marcello Coppola y George Kornaros
En la era emergente de la Internet de las Cosas (IoT), definida por las redes ubicuas y objetos conectados a Internet interconectados, la fluidez de la tecnología digital es más valiosa que nunca. En el núcleo de la IoT se encuentran los microcontroladores, los sensores, los actuadores y los MEMS.…
By Marcello Coppola and George Kornaros
In the emerging Internet of Things (IoT) era, defined by ubiquitous networks of interconnected and Internet-enabled objects, digital technology fluency is more valuable than ever. At the core of IoT are microcontrollers, sensors, actuators, and MEMS. Groundbreaking innovation requires an understanding of the concepts behind these devices. As Albrecht Schmidt…
By Christof Ebert和John Favaro
2016年12月,IEEE计算机学会发布了年度未来技术展望 。“自动驾驶汽车”逼近2017年就将投入应用的趋势榜首。在大量媒体对自动驾驶车辆的关注和大肆宣传下,对我们大多数人来说这可能并不意外。也许对一些人来说,更令他们惊讶的是汽车行业与计算机学会列表中的几乎所有其他 趋势也都与此密切相关:工业物联网,人工智能,5G,普适传感器 ,甚至是超融合系统和分类存储器。
By Christof Ebert y John Favaro
En diciembre de 2016 la IEEE Computer Society publicó su reporte anual visión del futuro de la tecnología  en donde los ”Automóviles auto conducidos” se encuentran cerca del tope de la lista de las tendencias que se adoptarán en 2017. Esto, probablemente, no es sorprendente para la mayoría de nosotros, dada…
By Christof Ebert and John Favaro
In December 2016, the IEEE Computer Society released its annual vision of the future of technology. “Self-driving cars” is near the top of the list of trends that will reach adoption in 2017. This probably isn’t surprising to most of us, given the substantial media attention and hype already surrounding self-driving…
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