"3D Localization for Subcentimeter-Sized Devices," by Iyer, et al., neatly separates and solves the problems of robotic locomotion, sensing, localization, and communications...Prabal Dutta From Communications of the ACM | March 2021
We present the first localization system that consumes microwatts of power at a mobile device and can be localized across multiple rooms in settings such as homes...Rajalakshmi Nandakumar, Vikram Iyer, Shyamnath Gollakota From Communications of the ACM | March 2021
"Scalable Signal Reconstruction for a Broad Range of Applications," by Abolfazl Asudeh, et al. shows that algorithmic insights about SRP, combined with database...Zachary G. Ives From Communications of the ACM | February 2021
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...Abolfazl Asudeh, Jees Augustine, Saravanan Thirumuruganathan, Azade Nazi, Nan Zhang, Gautam Das, Divesh Srivastava From Communications of the ACM | February 2021
The approach taken in "BioScript," by Jason Ott, et al., is an example of how programming languages can help develop executable protocols that are conforming, understandable...Nada Amin From Communications of the ACM | February 2021
This paper introduces BioScript, a domain-specific language for programmable biochemistry that executes on emerging microfluidic platforms.
Jason Ott, Tyson Loveless, Chris Curtis, Mohsen Lesani, Philip Brisk From Communications of the ACM | February 2021
"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...Richard Han From Communications of the ACM | January 2021
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...Mehrdad Moradi, Karthikeyan Sundaresan, Eugene Chai, Sampath Rangarajan, Z. Morley Mao From Communications of the ACM | January 2021
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...Daniel Gottesman From Communications of the ACM | January 2021
In this paper, we study the asymptotic scaling of the space overhead needed for fault-tolerant quantum computation.
Omar Fawzi, Antoine Grospellier, Anthony Leverrier From Communications of the ACM | January 2021
The system described in "SATURN: An Introduction to the Internet of Materials" works passively, energized essentially by static electricity generated as layers...Joseph A. Paradiso From Communications of the ACM | December 2020
We propose an Internet of Materials, where the very materials of objects and surfaces are augmented or manufactured to have computational capabilities.
Nivedita Arora, Thad Starner, Gregory D. Abowd From Communications of the ACM | December 2020
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...David Alexander Forsyth From Communications of the ACM | December 2020
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...Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, Ali Farhadi From Communications of the ACM | December 2020
What is the right leak oracle that can precisely capture the behavior of leaks in Web applications? "BLeak: Automatically Debugging Memory Leaks in Web Applications...Harry Xu From Communications of the ACM | November 2020
This paper introduces BLeak (Browser Leak debugger), the first system for automatically debugging memory leaks in web applications.
John Vilk, Emery D. Berger From Communications of the ACM | November 2020
The key insight of the "Generative Adversarial Networks," by Ian Goodfellow et al., is to learn a generative model's loss function at the same time as learning...Alexei A. Efros, Aaron Hertzmann From Communications of the ACM | November 2020
In this overview paper, we describe one particular approach to unsupervised learning via generative modeling called generative adversarial networks. We briefly...Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, Yoshua Bengio From Communications of the ACM | November 2020
"MadMax: Analyzing the Out-of-Gas World of Smart Contracts," by Neville Grech et al., effectively discovers a new smart contract vulnerability, and proposes a detection...Benjamin Livshits From Communications of the ACM | October 2020
We identify gas-focused vulnerabilities and present MadMax: a static program analysis technique that automatically detects gas-focused vulnerabilities with very...Neville Grech, Michael Kong, Anton Jurisevic, Lexi Brent, Bernhard Scholz, Yannis Smaragdakis From Communications of the ACM | October 2020