Communications of the ACM
Latest Research
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: 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
Succinct Range Filters
We present the Succinct Range Filter (SuRF), a fast and compact data structure for approximate membership tests.
From Communications of the ACM
Technical Perspective: Solving the Signal Reconstruction Problem at Scale
"Scalable Signal Reconstruction for a Broad Range of Applications," by Abolfazl Asudeh, et al. shows that algorithmic insights about SRP, combined with database...
From Communications of the ACM
Scalable Signal Reconstruction for a Broad Range of Applications
Most of the common approaches for solving signal reconstruction problem do not scale to large problem sizes. We propose a novel and scalable algorithm for solving...
From Communications of the ACM
Technical Perspective: SkyCore's Architecture Takes It to the 'Edge'
"SkyCore," by Mehrdad Moradi, et al., addresses an exciting use case for Unmanned Aerial Vehicles in which UAVs can act as mobile base stations for the cellular...
From Communications of the ACM
SkyCore: Moving Core to the Edge for Untethered and Reliable UAV-Based LTE Networks
We argue for and propose an alternate, radical edge evolved packet core design, called SkyCore, that pushes the EPC functionality to the extreme edge of the core...
From Communications of the ACM
Technical Perspective: Deciphering Errors to Reduce the Cost of Quantum Computation
In "Constant Overhead Quantum Fault Tolerance with Quantum Expander Codes," by Omar Fawzi, et al., the authors produce an algorithm that can rapidly deduce the...
From Communications of the ACM
Constant Overhead Quantum Fault Tolerance with Quantum Expander Codes
In this paper, we study the asymptotic scaling of the space overhead needed for fault-tolerant quantum computation.
From Communications of the ACM
Technical Perspective: The Future of Large-Scale Embedded Sensing
The system described in "SATURN: An Introduction to the Internet of Materials" works passively, energized essentially by static electricity generated as layers...
From Communications of the ACM
SATURN: An Introduction to the Internet of Materials
We propose an Internet of Materials, where the very materials of objects and surfaces are augmented or manufactured to have computational capabilities.
From Communications of the ACM
Technical Perspective: XNOR-Networks – Powerful but Tricky
How to produce a convolutional neural net that is small enough to run on a mobile device, and accurate enough to be worth using? The strategies in "Enabling AI...
From Communications of the ACM
Enabling AI at the Edge with XNOR-Networks
We present a novel approach to running state-of-the-art AI algorithms in edge devices, and propose two efficient approximations to standard convolutional neural...
From Communications of the ACM
Technical Perspective: Progress in Spatial Computing for Flood Prediction
There are few algorithms for multi-flow graphs beyond flow accumulation. The authors of "Flood-Risk Analysis on Terrains" take a big step to fill this knowledge...
From Communications of the ACM
Flood-Risk Analysis on Terrains
In this paper, we study a number of flood-risk related problems, give an overview of efficient algorithms for them, as well as explore the efficacy and efficiency...
From Communications of the ACM
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...
From Communications of the ACM