Research and Advances Archives - Page 10 of 359

Mar 1 2022

Technical Perspective: How Do Experts Learn New Programming Languages?

"Here We Go Again: Why Is It Difficult for Developers to Learn Another Programming Language?" by Shrestha et al. provides insight into the difficulty of learning new languages and suggests paths forward to addressing it.

Jonathan Aldrich

Computing Applications

question mark inside coding brackets in a word balloon

Mar 1 2022

Here We Go Again: Why Is It Difficult for Developers to Learn Another Programming Language?

Our findings demonstrate that interference is a widespread phenomenon, forcing programmers to adopt suboptimal, opportunistic learning strategies.

Nischal Shrestha, Colton Botta, Titus Barik, and Chris Parnin

Computing Applications

Mar 1 2022

Toward Systematic Architectural Design of Near-Term Trapped Ion Quantum Computers

Toward realizing QCCD-based trapped ion systems with 50-100 qubits, we perform an extensive application-driven architectural study evaluating the key design choices of trap sizing, communication topology, and operation implementation methods.

Prakash Murali, Dripto M. Debroy, Kenneth R. Brown, and Margaret Martonosi

Computing Applications

rings of arrows pointing to a single ion, illustration

Mar 1 2022

Mining Energy from ‘Empty’ Air

Shyam Gollakota on the benefits of reducing the power consumption of communication and tapping ambient signals for electricity.

Leah Hoffmann

Architecture and Hardware

Shyam Gollakota of the University of Washington

Feb 1 2022

How Topic Novelty Impacts the Effectiveness of News Veracity Interventions

Can algorithmic advice override preconceived notions and the believability of fake news?

Dorit Nevo and Benjamin D. Horne

Artificial Intelligence and Machine Learning

magnifying glass and checked circle and x'd box, illustration

Feb 1 2022

Reimagining Chess with AlphaZero

AI is driving the next evolution of chess, giving players a glimpse into the game's future.

Nenad Tomašev, Ulrich Paquet, Demis Hassabis, and Vladimir Kramnik

Artificial Intelligence and Machine Learning

Feb 1 2022

Abstractions, Their Algorithms, and Their Compilers

Jeffrey D. Ullman and Alfred V. Aho are recipients of the 2020 ACM A.M. Turing award. They were recognized for creating fundamental algorithms and theory underlying programming language implementation and for synthesizing these results and those of others in their highly influential books, which educated generations of computer scientists.

Alfred Aho and Jeffrey Ullman

Architecture and Hardware

Feb 1 2022

Preserving Integrity in Online Social Networks

The recent progress and ongoing problems of keeping online platforms and their users safe from malicious activities.

Computing Applications

globe spotted by interconnected dots and people icons, illustration

Feb 1 2022

Technical Perspective: Personalized Recommendation of PoIs to People with Autism

"Supporting People with Autism Spectrum Disorders in the Exploration of PoIs" is an example of work that takes seriously the task of supporting a small group that is not well served by existing recommender systems.

Robin Burke

Computing Applications

colored autism puzzle pieces and point-of-interest icons

Feb 1 2022

Worst-Case Topological Entropy and Minimal Data Rate for State Estimation of Switched Linear Systems

In this paper, we study the problem of estimating the state of a switched linear system when the observation of the system is subject to communication constraints.

Guillaume O. Berger and Raphael M. Jungers

Artificial Intelligence and Machine Learning

Feb 1 2022

Supporting People with Autism Spectrum Disorders in the Exploration of PoIs: An Inclusive Recommender System

We propose a novel Top-N recommendation model that combines information about an autistic user's idiosyncratic aversions with her/his preferences in a personalized way.

Noemi Mauro, Liliana Ardissono, and Federica Cena

Computing Applications

autism puzzle with point-of-interest icon

Feb 1 2022

Technical Perspective: Model Structure Takes Guesswork Out of State Estimation

"Worst-Case Topological Entropy and Minimal Data Rate for State Estimation of Switched Linear Systems" gives a method for computing the topological entropy of a broad class of systems called switched linear systems.

Sayan Mitra

Artificial Intelligence and Machine Learning

Jan 1 2022

How Reliable Is Smartphone-Based Electronic Contact Tracing for COVID-19?

A look through the lens of neighbor discovery protocols reveals significant potential to improve electronic contact-tracing accuracy.

Philipp H. Kindt, Trinad Chakraborty, and Samarjit Chakraborty

Computing Applications

COVID symbols over commuters on subway platform, looking at their phones

Jan 1 2022

Delivering a Rapid Digital Response to the COVID-19 Pandemic

Lessons learned from South Korea's contact-tracing system.

Gwanhoo Lee and Jaeho Kim

Computing Applications

masked couple and a young girl walk on a crowded street

Jan 1 2022

Fifty Years of P vs. NP and the Possibility of the Impossible

Advances in algorithms, machine learning, and hardware can help tackle many NP-hard problems once thought impossible.

Lance Fortnow

Artificial Intelligence and Machine Learning

direction sign in front of two open doors marked P and NP respectively

Jan 1 2022

Neural Software Analysis

Developer tools that use a neural machine learning model to make predictions about previously unseen code.

Michael Pradel and Satish Chandra

Architecture and Hardware

Jan 1 2022

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

We present a method that achieves state-of-the-art results for synthesizing novel views of complex scenes by optimizing an underlying continuous volumetric scene function using a sparse set of input views.

Artificial Intelligence and Machine Learning

Jan 1 2022

Eyelid Gestures for People with Motor Impairments

We present an algorithm to detect nine eyelid gestures on smartphones in real time and evaluate it with 12 able-bodied people and four people with severe motor impairments in two studies.

Mingming Fan, Zhen Li, and Franklin Mingzhe Li

Computing Applications

Jan 1 2022

Technical Perspective: Eyelid Gestures Enhance Mobile Interaction

"Eyelid Gestures for People with Motor Impairments," by Mingming Fan et al., addresses the accessibility of mobile devices to people with motor impairments.

Tiago Guerreiro

Computing Applications

Jan 1 2022

Technical Perspective: Neural Radiance Fields Explode on the Scene

Neural volume rendering exploded onto the scene in 2020, triggered by "NeRF," the impressive paper by Ben Mildenhall et al., on Neural Radiance Fields.

Frank Dellaert

Artificial Intelligence and Machine Learning

neural radiance field scene representation

Dec 1 2021

The Hardware Lottery

After decades of incentivizing the isolation of hardware, software, and algorithm development, the catalysts for closer collaboration are changing the paradigm.

Sara Hooker

Architecture and Hardware

Dec 1 2021

Digital Agriculture for Small-Scale Producers: Challenges and Opportunities

Smart Farming with technologies such as IoT, computer vision, and AI can improve agricultural efficiency, transparency, profitability, and equity for farmers in low-and middle-income countries.

Ranveer Chandra and Stewart Collis

Artificial Intelligence and Machine Learning

Dec 1 2021

AI-CHD: An AI-Based Framework for Cost-Effective Surgical Telementoring of Congenital Heart Disease

3D heart modeling and AI bring new cardiac surgery to remote and less-developed regions.

Artificial Intelligence and Machine Learning

open hand under human heart, illustration

Dec 1 2021

Datasheets for Datasets

Documentation to facilitate communication between dataset creators and consumers.

Computing Applications

individuals moving word blocks, illustration

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