Communications of the ACM
Latest Research
From Communications of the ACM
Technical Perspective: Model Structure Takes Guesswork Out of State Estimation
"Worst-Case Topological Entropy and Minimal Data Rate for State Estimation of Switched Linear Systems" gives a method for computing the topological entropy of a...
From Communications of the ACM
Worst-Case Topological Entropy and Minimal Data Rate for State Estimation of Switched Linear Systems
In this paper, we study the problem of estimating the state of a switched linear system when the observation of the system is subject to communication constraints...
From Communications of the ACM
Technical Perspective: Personalized Recommendation of PoIs to People with Autism
"Supporting People with Autism Spectrum Disorders in the Exploration of PoIs" is an example of work that takes seriously the task of supporting a small group that...
From Communications of the ACM
Supporting People with Autism Spectrum Disorders in the Exploration of PoIs: An Inclusive Recommender System
We propose a novel Top-N recommendation model that combines information about an autistic user's idiosyncratic aversions with her/his preferences in a personalized...
From Communications of the ACM
Technical Perspective: Neural Radiance Fields Explode on the Scene
Neural volume rendering exploded onto the scene in 2020, triggered by "NeRF," the impressive paper by Ben Mildenhall et al., on Neural Radiance Fields.
From Communications of the ACM
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
We present a method that achieves state-of-the-art results for synthesizing novel views of complex scenes by optimizing an underlying continuous volumetric scene...
From Communications of the ACM
Technical Perspective: Finding the Sweet Spot Amid Accuracy and Performance
"Multi-Itinerary Optimization as Cloud Service," by Alexandru Cristian et al., makes accessible an end-to-end cloud service that produces traffic-aware, real-time...
From Communications of the ACM
Multi-Itinerary Optimization as Cloud Service
We describe multi-itinerary optimization, a novel Bing Maps service that automates the process of building itineraries for multiple agents while optimizing their...
From Communications of the ACM
Technical Perspective: Liquid Testing Using Built-in Phone Sensors
"Liquid Testing with Your Smartphone," by Shichao Yue and Dina Katabi, proposes a novel technique for determining the surface tension of a liquid by leveraging...
From Communications of the ACM
Liquid Testing with Your Smartphone
We show a simple and accurate approach to measuring surface tension that's available to anyone with a smartphone.
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: 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: The Strength of SuRF
The authors of "Succinct Range Filters" make a critical and insightful observation: For a given set of queries, the upper levels of the trie incur many more accesses...
From Communications of the ACM