Communications of the ACM
Latest Practice
From Communications of the ACM
Research for Practice: Crash Consistency
Keeping data safe in the presence of crashes is a fundamental problem.
From Communications of the ACM
FHIR: Reducing Friction in the Exchange of Healthcare Data
A discussion with James Agnew, Pat Helland, and Adam Cole.
From Communications of the ACM
CSRB's Opus One
Comments on the Cyber Safety Review Board Log4j Event Report.
From Communications of the ACM
Research for Practice: Convergence
The return of a popular feature that shares the joy and utility of reading CS research between academics and their counterparts in industry.
From Communications of the ACM
Walk a Mile in Their Shoes
The COVID-19 pandemic through the lens of four tech workers.
From Communications of the ACM
FPGAs in Client Compute Hardware
Despite certain challenges, FPGAs provide security and performance benefits over ASICs.
From Communications of the ACM
Interpretable Machine Learning: Moving from Mythos to Diagnostics
A path forward for the ML community to address a stark disconnect.
From Communications of the ACM
The Keys to the Kingdom
A deleted private key, a looming deadline, and a last chance to patch a new static root of trust into the bootloader.
From Communications of the ACM
Surveillance Too Cheap to Meter
Stopping Big Brother would require an expensive overhaul of the entire system.
From Communications of the ACM
The Software Industry Is Still the Problem
The time is (also) way overdue for IT professional liability.
From Communications of the ACM
Lamboozling Attackers: A New Generation of Deception
Software engineering teams can exploit attackers' human nature by building deception environments.
From Communications of the ACM
It Takes a Community: The Open Source Challenge
A discussion with Reynold Xin, Wes McKinney, Alan Gates, and Chris McCubbin.
From Communications of the ACM
Meaning and Context in Computer Programs
Sharing domain knowledge among programmers using the source code as the medium.
From Communications of the ACM
Federated Learning and Privacy
Building privacy-preserving systems for machine learning and data science on decentralized data.
From Communications of the ACM
Human-Centered Approach to Static-Analysis-Driven Developer Tools
The future depends on good HCI.
From Communications of the ACM
