Research and Advances – Page 6 – Communications of the ACM

May 17 2023

On the Implicit Bias in Deep‐Learning Algorithms

Introduction Deep learning has been highly successful in recent years and has led to dramatic improvements in multiple domains. Deep‐learning algorithms often generalize quite well in practice, namely, given access to labeled training data, they return neural networks that correctly label unobserved test data. However, despite much research our theoretical understanding of generalization in deep […]

Vardi Gal

Artificial Intelligence and Machine Learning

May 1 2023

Disentangling Hype from Practicality: On Realistically Achieving Quantum Advantage

What are the promising applications to realize quantum advantage?

Torsten Hoefler, Thomas Häner, and Matthias Troyer

Architecture and Hardware

color lines in abstract drawing, illustration

May 1 2023

Unlocking the Potential of Fully Homomorphic Encryption

Exploring the transformational potential of FHE and the path toward adoption of its "stack."

Shruthi Gorantala, Rob Springer, and Bryant Gipson

Security and Privacy

initials F, H, and E on slot machine reels, illustration

May 1 2023

Development Use Cases for Semantics-Driven Modeling Languages

Choosing underlying semantic theories and definition techniques must closely follow intended use cases for the modeling language.

Manfred Broy and Bernhard Rumpe

Computing Applications

circuit board layout with text labels, illustration

May 1 2023

From Code Complexity Metrics to Program Comprehension

Understanding code depends not only on the code but also on the brain.

Dror G. Feitelson

Computing Applications

two programmers stand in front of a window filled with computer code

Apr 1 2023

Protecting Autonomous Cars from Phantom Attacks

Enabling object detectors to better distinguish between real and fake objects in semi-autonomous and fully autonomous vehicles.

Architecture and Hardware

phantom figure sits inside autonomous vehicle surrounded by human figures, illustration

Apr 1 2023

Eight Reasons to Prioritize Brain-Computer Interface Cybersecurity

Defining and analyzing the impact of cyberattacks on novel generations of BCIs.

Sergio López Bernal, Alberto Huertas Celdrán, and Gregorio Martínez Pérez

Computing Applications

keyhole on top of a human head, illustration

Apr 1 2023

Mechanical Mathematicians

A new generation of automatic theorem provers eliminate bugs in software and mathematics.

Artificial Intelligence and Machine Learning

Mar 1 2023

Considering the Impact of Technology on Society

Moshe Vardi on having the difficult conversation about technology and social responsibility.

Leah Hoffmann

Computing Applications

Moshe Y. Vardi, University Professor at Rice University

Mar 1 2023

Toward Practices for Human-Centered Machine Learning

Designing for the social, cultural, and ethical implications of ML are just as important as its technical advances.

Stevie Chancellor

Artificial Intelligence and Machine Learning

modernized Vitruvian Man on colorful geometric background, illustration

Mar 1 2023

AI and Neurotechnology: Learning from AI Ethics to Address an Expanded Ethics Landscape

The merging of machine, body, and psyche is on the horizon due to the technological advancements enabled by neuroscience and AI.

Sara Berger and Francesca Rossi

Architecture and Hardware

neuron floating above a circuit board, illustration

Mar 1 2023

The AI Tech-Stack Model

Management and technology challenges of AI-enabled application projects.

Rua-Huan Tsaih, Hsin-Lu Chang, Chih-Chun Hsu, and David C. Yen

Architecture and Hardware

figure atop layers of hands connected by ladders, illustration

Feb 1 2023

(Re)Use of Research Results (Is Rampant)

Prior pessimism about reuse in software engineering research may have been a result of using the wrong methods to measure the wrong things.

Computing Applications

Feb 1 2023

HPC Forecast: Cloudy and Uncertain

An examination of how the technology landscape has changed and possible future directions for HPC operations and innovation.

Daniel Reed, Dennis Gannon, and Jack Dongarra

Architecture and Hardware

abstract skyline with storm clouds, illustration

Feb 1 2023

The Lean Data Scientist: Recent Advances Toward Overcoming the Data Bottleneck

A taxonomy of the methods used to obtain quality datasets enhances existing resources.

Chen Shani, Jonathan Zarecki, and Dafna Shahaf

Artificial Intelligence and Machine Learning

tapered collection of red balls, illustration

Feb 1 2023

Proving Data-Poisoning Robustness in Decision Trees

We present a sound verification technique based on abstract interpretation and implement it in a tool called Antidote, which abstractly trains decision trees for an intractably large space of possible poisoned datasets.

Samuel Drews, Aws Albarghouthi, and Loris D'Antoni

Computing Applications

Feb 1 2023

Extracting the Essential Simplicity of the Internet

Looking past inessential complexities to explain the Internet's simple yet daring design.

James Mccauley, Scott Shenker, and George Varghese

Computing Applications

Feb 1 2023

Technical Perspective: Beautiful Symbolic Abstractions for Safe and Secure Machine Learning

"Proving Data-Poisoning Robustness in Decision Trees," by Samuel Drews et al., addresses the challenge of processing an intractably large set of trained models when enumeration is infeasible in a clean, beautiful, and elegant manner.

Martin Vechev

Artificial Intelligence and Machine Learning

Jan 1 2023

Technical Perspective: The Impact of Auditing for Algorithmic Bias

"Actionable Auditing Revisited," by Inioluwa Deborah Raji and Joy Buolamwini, examines how companies producing commercial facial classification software responded to the publication of the groundbreaking 2018 "Gender Shades" study.

Vincent Conitzer, Gillian K. Hadfield, and Shannon Vallor

Computing Profession

Jan 1 2023

The Many Faces of Resilience

A review of network science and complexity theory as they apply to the ability of systems to resist stress and recover from faults.

Ted G. Lewis

Architecture and Hardware

Jan 1 2023

ACE: Toward Application-Centric, Edge-Cloud, Collaborative Intelligence

Constructing a unified platform for the scalable, reliable, robust, and efficient development and deployment of ECCI applications.

Architecture and Hardware

bright light behind a row of computer servers, illustration

Jan 1 2023

Democratizing Domain-Specific Computing

Creating a programming environment and compilation flow that empowers programmers to create their own DSAs efficiently and affordably on FPGAs.

Architecture and Hardware

FPGA initials on top of a 3D block of circuitry

Jan 1 2023

Actionable Auditing Revisited: Investigating the Impact of Publicly Naming Biased Performance Results of Commercial AI Products

This paper investigates the commercial impact of Gender Shades, the first algorithmic audit of gender- and skin-type performance disparities in commercial facial analysis models.

Inioluwa Deborah Raji and Joy Buolamwini

Computing Profession

Jan 1 2023

A Linearizability-based Hierarchy for Concurrent Specifications

Two linearizability-style correctness conditions that can be used to argue safety properties of progressively more concurrent behaviors of objects.

Armando Castañeda, Sergio Rajsbaum, and Michel Raynal

Artificial Intelligence and Machine Learning

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