Communications of the ACM
Latest Research
From Communications of the ACM
Technical Perspective: Does Your Experiment Smell?
"PlanAlyzer," by Emma Tosch et al., details PlanAlyzer software, the first tool to statically check the validity of online experiments.
From Communications of the ACM
PlanAlyzer: Assessing Threats to the Validity of Online Experiments
We present the first approach for checking the internal validity of online experiments statically, that is, from code alone.
From Communications of the ACM
Technical Perspective: The Importance of WINOGRANDE
"WINOGRANDE" explores new methods of dataset development and adversarial filtering, expressly designed to prevent AI systems from making claims of smashing through...
From Communications of the ACM
WinoGrande: An Adversarial Winograd Schema Challenge at Scale
We introduce WinoGrande, a large-scale dataset of 44k problems, inspired by the original Winograd Schema Challenge, but adjusted to improve both the scale and the...
From Communications of the ACM
Technical Perspective: eBP Rides the Third Wave of Mobile Health
The automated blood pressure wearable system described in "eBP," by Nam Bui et al., is a sterling example of the third wave of mobile health tech to fill the preventative...
From Communications of the ACM
eBP: An Ear-Worn Device for Frequent and Comfortable Blood Pressure Monitoring
We developed eBP to measure blood pressure from inside a user's ear aiming to minimize the measurement's impact on normal activities while maximizing its comfort...
From Communications of the ACM
Technical Perspective: The Quest for Optimal Multi-Item Auctions
"Optimal Auctions Through Deep Learning," by Paul Dütting et al., contributes a very interesting and forward-looking new take on the optimal multi-item mechanism...
From Communications of the ACM
Optimal Auctions Through Deep Learning
We overview recent research results that show how tools from deep learning are shaping up to become a powerful tool for the automated design of near-optimal auctions...
From Communications of the ACM
Technical Perspective: Tracking Pandemic-Driven Internet Traffic
"A Year in Lockdown," by Anja Feldmann, et al., offers a detailed look at how Internet traffic changed during the COVID-19 pandemic.
From Communications of the ACM
A Year in Lockdown: How the Waves of COVID-19 Impact Internet Traffic
We review the impact of the first year of the COVID-19 pandemic on Internet traffic in order to analyze its performance.
From Communications of the ACM
Technical Perspective: An Elegant Model for Deriving Equations
"Deriving Equations from Sensor Data Using Dimensional Function Synthesis," by Vasileios Tsoutsouras, et al., addresses the key problem of discovering relationships...
From Communications of the ACM
Deriving Equations from Sensor Data Using Dimensional Function Synthesis
We present a new method, which we call dimensional function synthesis, for deriving functions that model the relationship between multiple signals in a physical...
From Communications of the ACM
Technical Perspective: Race Logic Presents a Novel Form of Encoding
"In-Sensor Classification With Boosted Race Trees," by Georgios Tzimpragos, et al., proposes a surprising, novel, and creative approach to post-Moore's Law computing...
From Communications of the ACM
In-Sensor Classification With Boosted Race Trees
We demonstrate the potential of a novel form of encoding, race logic, in which information is represented as the delay in the arrival of a signal.
From Communications of the ACM
Technical Perspective: A Chiplet Prototype System for Deep Learning Inference
"Simba," by Yakun Sophia Shao, et al., presents a scalable deep learning accelerator architecture that tackles issues ranging from chip integration technology to...
From Communications of the ACM
Simba: Scaling Deep-Learning Inference with Chiplet-Based Architecture
This work investigates and quantifies the costs and benefits of using multi-chip-modules with fine-grained chiplets for deep learning inference, an application...
From Communications of the ACM
Technical Perspective: Robust Statistics Tackle New Problems
"Robustness Meets Algorithms," by Ilias Diakonikolas, et al., represents the beginning of a long and productive line of work on robust statistics in high dimensions...
From Communications of the ACM
Robustness Meets Algorithms
We give the first efficient algorithm for estimating the parameters of a high-dimensional Gaussian that is able to tolerate a constant fraction of corruptions that...
From Communications of the ACM
Technical Perspective: A Logical Step Toward the Graph Isomorphism Problem
In "Isomorphism, Canonization, and Definability for Graphs of Bounded Rank Width," Grohe and Neuen show that the Weisfeiler-Leman algorithm in its plain form solves...
From Communications of the ACM