May 2019 - Vol. 62 No. 5

Features

Opinion Cerf's up May 1 2019

APIs, Standards, and Enabling Infrastructure

The widespread sharing of common or standardized APIs confers rich opportunities for choices of operating system or library implementations for the programming of applications.

Vinton G. Cerf

Computing Applications

Opinion Departments May 1 2019

Quantum Hype and Quantum Skepticism

The beauty of classical computing is that developing algorithms is incredibly easy. In contrast, in more than 25 years of intense research on quantum computing, only a few dozen algorithms have been developed.

Moshe Y. Vardi

Architecture and Hardware

Opinion Letters to the editor May 1 2019

Don’t Ignore the Cost of ‘Embedded Energy’

Andrew A. Chien's Editor's Letter (March 2019) addressed the topic of our common responsibility for the ecological cost of our industry but said nothing about so-called "embedded energy" when exploring the growth of electronic waste.

CACM Staff

BLOG@CACM May 1 2019

Implementing Guidelines for Governance, Oversight of AI, and Automation

Governance and independent oversight on the design and implementation of all forms of artificial intelligence and automation is a cresting wave about to break comprehensively on the field of IT and computing.

Ryan Carrier

Architecture and Hardware

News May 1 2019

Questioning Quantum

Researchers hunt for ways to keep quantum computing honest.

Chris Edwards

Architecture and Hardware

News May 1 2019

Code Talkers

Using voice input to write programs.

Neil Savage

Computing Applications

News May 1 2019

Deep Insecurities: The Internet of Things Shifts Technology Risk

A more connected world sounds alluring, but without better protections, the Internet of Things could lead to disaster.

Samuel Greengard

Security and Privacy

Opinion Law and technology May 1 2019

Continuity and Change in Internet Law

The fundamentals of the field of Internet law have remained consistent, but details have evolved in response to technological innovation.

James Grimmelmann

Computing Applications

Opinion Privacy and security May 1 2019

Encryption and Surveillance

Why the law-enforcement access question will not just go away.

Joan Feigenbaum

Computing Profession

Opinion Education May 1 2019

What Does It Mean for a Computing Curriculum to Succeed?

Examining the expansion, proliferation, and integration of computing education everywhere.

Emmanuel Schanzer, Shriram Krishnamurthi, and Kathi Fisler

Computing Applications

Opinion Viewpoint May 1 2019

Enterprise Wi-Fi: We Need Devices That Are Secure by Default

Seeking to increase awareness of WPA2 Enterprise network security technology flaws and reduce risk to users.

Alberto Bartoli, Eric Medvet, Andrea De Lorenzo, and Fabiano Tarlao

Security and Privacy

Practice May 1 2019

Achieving Digital Permanence

The many challenges to maintaining stored information and ways to overcome them.

Raymond Blum and Betsy Beyer

Computing Applications

Practice May 1 2019

Online Event Processing

Achieving consistency where distributed transactions have failed.

Martin Kleppmann, Alastair R. Beresford, and Boerge Svingen

Computing Applications

Practice May 1 2019

Net Neutrality: Unexpected Solution to Blockchain Scaling

Cloud-delivery networks could dramatically improve blockchains' scalability, but clouds must be provably neutral first.

Aleksandar Kuzmanovic

Computing Applications

Research and Advances Contributed articles May 1 2019

Countering the Negative Image of Women in Computing

A positive image would inspire the capable but underrepresented who might otherwise give up on computing.

Fay Cobb Payton and Eleni Berki

Computing Profession

Research and Advances Contributed articles May 1 2019

The Limit of Blockchains: Infeasibility of a Smart Obama-Trump Contract

Although smart contracts are Turing complete, it is a misconception that they can fulfill all routine contracts.

Yongge Wang and Qutaibah M. Malluhi

Computing Applications

Research and Advances Review articles May 1 2019

Algorithmic Randomness

Tracing some of the latest advancements in algorithmic randomness.

Rod Downey and Denis R. Hirschfeldt

Systems and Networking

Research and Advances Research highlights May 1 2019

Technical Perspective: Compressing Matrices for Large-Scale Machine Learning

Demand for more powerful big data analytics solutions has spurred the development of novel programming models, abstractions, and platforms. "Scaling Machine Learning via Compressed Linear Algebra" seeks to address many of these challenges by applying database ideas.

Zachary G. Ives

Artificial Intelligence and Machine Learning

Research and Advances Research highlights May 1 2019

Compressed Linear Algebra for Declarative Large-Scale Machine Learning

General-purpose compression struggles to achieve both good compression ratios and fast decompression for blockwise uncompressed operations. Therefore, we introduce Compressed Linear Algebra for lossless matrix compression.

Artificial Intelligence and Machine Learning

Opinion Last byte May 1 2019

Like Old Times

The Furby singularity promises eternal conversation with the untimely departed.

Ken MacLeod

Computing Applications

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