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All information about physical objects including humans, buildings, processes, and organizations will be online. This trend is both desirable and inevitable. Cyberspace will provide the basis for wonderful new ways to inform, entertain, and…

General Literature · Computer Science 2007-05-23 C. Gordon Bell , Jim Gray

While miniaturization has been a goal in robotics for nearly 40 years, roboticists have struggled to access sub-millimeter dimensions without making sacrifices to on-board information processing due to the unique physics of the microscale.…

In this article we are investigating the computers development process in the past decades in order to identify the factors that influence it the most. We describe such factors and use them to predict the direction of further development.…

Information Theory · Computer Science 2020-02-19 Anton Rakitskiy , Boris Ryabko

While several paths have emerged in microelectronics and computing as follow-ons to Turing architectures, and have been implemented using essentially silicon circuits, very little beyond Moore research has considered: (1) first biological…

Emerging Technologies · Computer Science 2016-09-27 P. N. Borza , L-F Pau

Computer systems have evolved over the years starting from sizable, single-user, slow, and expensive machines to multi-user, fast, cheaper, and small-sized machines. The use of multi-user computer networks has given rise to a new paradigm…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-02-09 Aneesh Khole , Atharva Thakar , Avadhoot Kulkarni , Hrithik Jadhav , Shreyas Shende , Varad Karajkhede

The primordial model of quantum computation was introduced over thirty years ago and the first quantum algorithms have appeared for over twenty years. Yet the exact architectures for quantum computer seem foreign to an undergraduate student…

Quantum Physics · Physics 2019-05-08 Hou Ian , Biao Chen , Wei Zhao

We start by an introduction to the basic concepts of computability theory and the introduction of the concept of Turing machine and computation universality. Then se turn to the exploration of trade-offs between different measures of…

Computational Complexity · Computer Science 2011-04-19 Joost J. Joosten , Fernando Soler-Toscano , Hector Zenil

The advancements in machine learning opened a new opportunity to bring intelligence to the low-end Internet-of-Things nodes such as microcontrollers. Conventional machine learning deployment has high memory and compute footprint hindering…

Machine Learning · Computer Science 2022-12-22 Swapnil Sayan Saha , Sandeep Singh Sandha , Mani Srivastava

The development of quantum computing systems has been a staple of academic research since the mid-1990s when the first proposal for physical platforms were proposed using Nuclear Magnetic Resonance and Ion-Trap hardware. These first…

Quantum Physics · Physics 2023-08-01 Simon J. Devitt

Even if Moore's Law continues to hold, it will take about 250 years to fill the performance gap between present-day computer and the ultimate computer determined from the laws of physics alone. Information processing technology in the…

Mesoscale and Nanoscale Physics · Physics 2007-05-23 Yongqiang Xue , Mark A. Ratner

Since their appearance in the 1950s, computational models capable of performing probabilistic choices have received wide attention and are nowadays pervasive in almost every areas of computer science. Their development was also inextricably…

Logic in Computer Science · Computer Science 2024-09-19 Melissa Antonelli , Ugo Dal Lago , Paolo Pistone

The emergence of quantum computing technology over the last decade indicates the potential for a transformational impact in the study of quantum mechanical systems. It is natural to presume that such computing technologies would be valuable…

Research on writing tools started with the increased availability of computers in the 1970s. After a first phase addressing the needs of programmers and data scientists, research in the late 1980s started to focus on writing-specific needs.…

Human-Computer Interaction · Computer Science 2023-04-03 Cerstin Mahlow

Microprocessors have revolutionized the world we live in and continuous efforts are being made to manufacture not only faster chips but also smarter ones. A number of techniques such as data level parallelism, instruction level parallelism…

Hardware Architecture · Computer Science 2011-10-18 Balaji Venu

A new approach to designing processor accelerators is presented. A new computing model and a special kind of accelerator with dynamic (end-user programmable) architecture is suggested. The new model considers a processor, in which a newly…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-07-07 János Végh

This paper describes a programme to study the computing model in CMS after the next long shutdown near the end of the decade.

Distributed, Parallel, and Cluster Computing · Computer Science 2016-01-20 Lothar Bauerdick , Brian Bockelman , Peter Elmer , Stephen Gowdy , Matevz Tadel , Frank Wuerthwein

Technological growth in the electronics industry has historically been measured by the number of transistors that can be crammed onto a single microchip. Unfortunately, all good things must come to an end; spectacular growth in the number…

Mesoscale and Nanoscale Physics · Physics 2007-05-23 Veronica Cerletti , W. A. Coish , Oliver Gywat , Daniel Loss

In the late 80s and 90s, theoretical physicists of the Landau Institute for Theoretical Physics designed and developed several specialized computers for challenging computational problems in the physics of phase transitions. These computers…

Statistical Mechanics · Physics 2021-07-19 Lev N. Shchur

Since the very beginning of hardware development, computer processors were invented with ever-increasing clock frequencies and sophisticated in-build optimization strategies. Due to physical limitations, this 'free lunch' of speedup has…

Distributed, Parallel, and Cluster Computing · Computer Science 2008-10-31 Peter Tröger

The last two decades have seen an explosive growth in the theory and practice of both quantum computing and machine learning. Modern machine learning systems process huge volumes of data and demand massive computational power. As silicon…

Quantum Physics · Physics 2020-06-23 Viraj Kulkarni , Milind Kulkarni , Aniruddha Pant