Research and Advances Archives - Page 18 of 359

Sep 1 2020

Technical Perspective: Computing the Value of Location Data

"Computing Value of Spatiotemporal Information," by Heba Aly et al., describes a technique for computing the monetary value of a person's location data for a potential geo-marketplace.

Cyrus Shahabi

Computing Applications

Aug 1 2020

Digital Creativity Support for Original Journalism

A tool that helps journalists discover new story angles by offering insight not search results.

Computing Applications

man examining a document on a giant monitor, illustration

Aug 1 2020

Examining Undergraduate Computer Science Participation in North Carolina

Data on CS graduation rates among six academic institutions in NC traces the demographics of those participating (or not) in the discipline.

Fay Cobb Payton and Alexa Busch

Computing Profession

Aug 1 2020

Why Computing Belongs Within the Social Sciences

Fully appreciating the overarching scope of CS requires weaving more than ethics into the reigning curricula.

Randy Connolly

Computing Applications

umbrella surrounded by labels for academic disciplines, illustration

Aug 1 2020

Threats of a Replication Crisis in Empirical Computer Science

Research replication only works if there is confidence built into the results.

Andy Cockburn, Pierre Dragicevic, Lonni Besançon, and Carl Gutwin

Computing Applications

Aug 1 2020

Technical Perspective: Entity Matching with Magellan

Magellan's key insight is that a successful entity matching system must offer a versatile system building paradigm for entity matching that can be easily adapted for different application needs.

Wang-Chiew Tan

Artificial Intelligence and Machine Learning

Aug 1 2020

Technical Perspective: Supporting Linear Algebra Operations in SQL

Do we need a completely new database system to support machine learning?

Yannis Papakonstantinou

Systems and Networking

Aug 1 2020

Scalable Linear Algebra on a Relational Database System

We show that by making just a few changes to a parallel/distributed relational database system, such a system can become a competitive platform for scalable linear algebra.

Systems and Networking

data analytics representation, illustration

Aug 1 2020

Magellan: Toward Building Ecosystems of Entity Matching Solutions

Entity matching can be viewed as a special class of data science problems and thus can benefit from system building ideas in data science.

Artificial Intelligence and Machine Learning

Jul 1 2020

Spectre Attacks: Exploiting Speculative Execution

This paper describes practical attacks that combine methodology from side-channel attacks, fault attacks, and return-oriented programming that can read arbitrary memory from the victim's process.

Security and Privacy

Jul 1 2020

Technical Perspective: Why ‘Correct’ Computers Can Leak Your Information

"Spectre Attacks: Exploiting Speculative Execution," by Paul Kocher, et al., reviews how speculative execution and caches can be exploited, presents specific exploits using speculative branches that are direct and indirect, and discusses software and hardware options for mitigating Spectre.

Mark D. Hill

Security and Privacy

Jul 1 2020

Technical Perspective: ASIC Clouds: Specializing the Datacenter

Can we build purpose-built, warehouse-scale datacenters customized for large-scale arrays of ASIC accelerators or, to use a term coined in the paper by Michael Bedford Taylor, et al., ASIC clouds?

Parthasarathy Ranganathan

Computing Applications

Jul 1 2020

The Data Science Life Cycle: A Disciplined Approach to Advancing Data Science as a Science

A cycle that traces ways to define the landscape of data science.

Victoria Stodden

Computing Applications

Jul 1 2020

Domain-Specific Hardware Accelerators

DSAs gain efficiency from specialization and performance from parallelism.

William J. Dally, Yatish Turakhia, and Song Han

Architecture and Hardware

colored chip on circuit board, illustration

Jul 1 2020

A Domain-Specific Supercomputer for Training Deep Neural Networks

Google's TPU supercomputers train deep neural networks 50x faster than general-purpose supercomputers running a high-performance computing benchmark.

Architecture and Hardware

Jul 1 2020

Some Simple Economics of the Blockchain

Blockchain technology can shape innovation and competition in digital platforms, but under what conditions?

Christian Catalini and Joshua S. Gans

Computing Applications

Jul 1 2020

ASIC Clouds: Specializing the Datacenter for Planet-Scale Applications

This paper distills lessons from Bitcoin ASIC Clouds and applies them to other large scale workloads, showing superior TCO (total cost of ownership) versus CPU and GPU.

Computing Applications

Jun 1 2020

The ‘Invisible’ Materiality of Information Technology

It's difficult to see the ecological impact of IT when its benefits are so blindingly bright.

Alan Borning, Batya Friedman, and Nick Logler

Computing Applications

cloud computing and related hardware, illustration

Jun 1 2020

Meltdown: Reading Kernel Memory from User Space

Lessons learned from Meltdown's exploitation of the weaknesses in today's processors.

Security and Privacy

circuit board with Spectre and Meltdown icons

Jun 1 2020

Contextual Word Representations: Putting Words into Computers

Advances in how programs treat natural language words have a big impact in AI.

Noah A. Smith

Artificial Intelligence and Machine Learning

computer monitor and word cloud, illustration

Jun 1 2020

Street Lamps as a Platform

Strategically augmented street lamps can become the key enabling technology in smart cities.

Architecture and Hardware

Jun 1 2020

Data-Driven Algorithm Design

We model the problem of identifying a good algorithm from data as a statistical learning problem.

Rishi Gupta and Tim Roughgarden

Artificial Intelligence and Machine Learning

Jun 1 2020

Technical Perspective: Algorithm Selection as a Learning Problem

"Data-Driven Algorithm Design," by Rishi Gupta and Tim Roughgarden, addresses the issue that the best algorithm to use for many problems depends on what the input "looks like."

Avrim Blum

Artificial Intelligence and Machine Learning

May 1 2020

A Bibliometric Approach for Detecting the Gender Gap in Computer Science

Identifying female CS scientists by combining a robust bibliographic database and name filtering tools.

Computing Applications

multicolor male and female figures, illustration

Shape the Future of Computing

ACM encourages its members to take a direct hand in shaping the future of the association. There are more ways than ever to get involved.

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Communications of the ACM (CACM) is now a fully Open Access publication.

By opening CACM to the world, we hope to increase engagement among the broader computer science community and encourage non-members to discover the rich resources ACM has to offer.

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