"Superpolynomial Lower Bounds Against Low-Depth Algebraic Circuits," by Nutan Limaye et al., achieves a landmark in the larger quest of understanding hardness,...Nitin Saxena From Communications of the ACM | February 2024
This paper discusses algorithmic priority inversion in mission-critical machine inference pipelines used in modern neural-network-based perception subsystems and...Shengzhong Liu, Shuochao Yao, Xinzhe Fu, Rohan Tabish, Simon Yu, Ayoosh Bansal, Heechul Yun, Lui Sha, Tarek Abdelzaher From Communications of the ACM | February 2024
"Locating Everyday Objects Using NFC Textiles," by Jingxian Wang et al., describes the potential of Near-Field Communication for advanced home automation.
Polly Huang From Communications of the ACM | October 2023
This paper builds a Near-Field Communication-based localization system that allows ordinary surfaces to locate surrounding objects with high accuracy in the near...Jingxian Wang, Junbo Zhang, Ke Li, Chengfeng Pan, Carmel Majidi, Swarun Kumar From Communications of the ACM | October 2023
"Leveraging Social Media to Buy Fake Reviews," by Sherry He et al., represents a breakthrough in our empirical understanding of fake reviews on Amazon.
Shreyas Sekar From Communications of the ACM | October 2023
In "A Manifold View of Connectivity in the Private Backbone Networks of Hyperscalers," Salamatian et al. assemble techniques from the two broad strategies developed...Sara Alouf From Communications of the ACM | August 2023
We present a new empirical approach for elucidating connectivity in privately owned and operated backbone networks.
Loqman Salamatian, Scott Anderson, Joshua Mathews, Paul Barford, Walter Willinger, Mark Crovella From Communications of the ACM | August 2023
"Symbol-Synchronous Buses," by Jonathan Oostvogels et al., conceives a notion of a symbol-synchronous bus, which effectively makes a multi-hop wireless network...Luca Mottola From Communications of the ACM | April 2023
We describe a novel networking paradigm that aims to enable a new class of latency-sensitive applications by systematically breaking networking abstractions.
Jonathan Oostvogels, Fan Yang, Sam Michiels, Danny Hughes From Communications of the ACM | April 2023