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Technical Perspective: How Easy Is It to Describe Hard Polynomials?
From Communications of the ACM

Technical Perspective: How Easy Is It to Describe Hard Polynomials?

"Superpolynomial Lower Bounds Against Low-Depth Algebraic Circuits," by Nutan Limaye et al., achieves a landmark in the larger quest of understanding hardness,...

Taming Algorithmic Priority Inversion in Mission-Critical Perception Pipelines
From Communications of the ACM

Taming Algorithmic Priority Inversion in Mission-Critical Perception Pipelines

This paper discusses algorithmic priority inversion in mission-critical machine inference pipelines used in modern neural-network-based perception subsystems and...

Technical Perspective: Sensing Interaction with Everyday Objects Using Near-Field Communication in Textiles
From Communications of the ACM

Technical Perspective: Sensing Interaction with Everyday Objects Using Near-Field Communication in Textiles

"Locating Everyday Objects Using NFC Textiles," by Jingxian Wang et al., describes the potential of Near-Field Communication for advanced home automation.

Locating Everyday Objects Using NFC Textiles
From Communications of the ACM

Locating Everyday Objects Using NFC Textiles

This paper builds a Near-Field Communication-based localization system that allows ordinary surfaces to locate surrounding objects with high accuracy in the near...

Technical Perspective: On Abstractions and Embedded Networks
From Communications of the ACM

Technical Perspective: On Abstractions and Embedded Networks

"Symbol-Synchronous Buses," by Jonathan Oostvogels et al., conceives a notion of a symbol-synchronous bus, which effectively makes a multi-hop wireless network...

Symbol-Synchronous Buses: Deterministic, Low-Latency Wireless Mesh Networking with LEDs
From Communications of the ACM

Symbol-Synchronous Buses: Deterministic, Low-Latency Wireless Mesh Networking with LEDs

We describe a novel networking paradigm that aims to enable a new class of latency-sensitive applications by systematically breaking networking abstractions.

Technical Perspective: The Power of Low-Power GPS Receivers for Nanosats
From Communications of the ACM

Technical Perspective: The Power of Low-Power GPS Receivers for Nanosats

The work explored in "Hummingbird," by Sujay Narayana et al., focuses on the energy consumption of a typical GPS receiver and its operational challenges in a nanosat...

Hummingbird
From Communications of the ACM

Hummingbird: An Energy-Efficient GPS Receiver for Small Satellites

In this work, we elucidate the design of a low-cost, low-power GPS receiver for small satellites.

Technical Perspective: Physical Layer Resilience through Deep Learning in Software Radios
From Communications of the ACM

Technical Perspective: Physical Layer Resilience through Deep Learning in Software Radios

"Polymorphic Wireless Receivers," by Francesco Restuccia and Tommaso Melodia, tackles the problem of physical layer resilience in wireless systems from a completely...

Polymorphic Wireless Receivers
From Communications of the ACM

Polymorphic Wireless Receivers

We introduce PolymoRF, a deep learning-based polymorphic receiver able to reconfigure itself in real time based on the inferred waveform parameters.

Technical Perspective: hXDP
From Communications of the ACM

Technical Perspective: hXDP: Light and Efficient Packet Processing Offload

In "hXDP: Efficient Software Packet Processing on FPGA NICs," the authors offer an interesting solution to bridging the performance gap between the CPU and the...

hXDP
From Communications of the ACM

hXDP: Efficient Software Packet Processing on FPGA NICs

We present hXDP, a solution to run on FPGAs software packet processing tasks described with the eBPF technology and targeting the Linux's eXpress Data Path.

Technical Perspective: Leveraging Social Context for Fake News Detection
From Communications of the ACM

Technical Perspective: Leveraging Social Context for Fake News Detection

In "FANG," the authors focus on a strategy of automatically detecting disinformation campaigns on online media with a new graph-based, contextual technique for...

FANG
From Communications of the ACM

FANG: Leveraging Social Context for Fake News Detection Using Graph Representation

We propose Factual News Graph (FANG), a novel graphical social context representation and learning framework for fake news detection.

Technical Perspective: An Elegant Model for Deriving Equations
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...

Deriving Equations from Sensor Data Using Dimensional Function Synthesis
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...

In-Sensor Classification With Boosted Race Trees
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...

Simba
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...
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