Research and Advances – Page 4 – Communications of the ACM

Jul 1 2023

Achieving Green AI with Energy-Efficient Deep Learning Using Neuromorphic Computing

A description of the effort to develop an end-to-end neuromorphic computing solution in Singapore, including its four aspects of hardware, middleware, software, and system integration.

Architecture and Hardware

nerve cell on a green, bio background, illustration

Jul 1 2023

Activities of National Institute of Informatics in Japan

The National Institute of Informatics' activities in its research and service missions.

Computing Applications

dot-based map of Japan on concentric rings, illustration

Jul 1 2023

Human-AI Cooperation to Tackle Misinformation and Polarization

We describe a significant emerging trend away from the techno-solutionist approach to problems that seeks to create and understand a new paradigm: a productive interplay between algorithms and people.

Artificial Intelligence and Machine Learning

colored blocks hover above mobile devices held by four people, illustration

Jul 1 2023

South Korea’s Nationwide Effort for AI Semiconductor Industry

Recent nationwide efforts taking place in South Korea challenge the emerging AI semiconductor industry.

Ji-Hoon Kim, Sungyeob Yoo, and Joo-Young Kim

Architecture and Hardware

circuit board with a chip marked by the flag of South Korea

Jul 1 2023

To Draw Is Human: Toward No-Code Subgraph Search

Low-code or no-code frameworks are the latest disruption in the business world.

Sourav S. Bhowmick and Byron Choi

Computing Applications

Jul 1 2023

JIZAI Body: Human-Machine Integration Based on Asian Thought

JIZAI Body allows a person to free their body and mind by controlling their natural body and altered robotic parts.

Masahiko Inami

Computing Applications

JIZAI robotic arms attached to a person's back

Jul 1 2023

Challenges in Designing Blockchain for Cyber-Physical Systems

Tackling scalability, trust, and privacy.

Architecture and Hardware

Jul 1 2023

Principles and Practices of Real-Time Feature Computing Platforms for ML

The design principles and practices of tackling the challenges of realtime feature computing.

Artificial Intelligence and Machine Learning

Jul 1 2023

Digital Twins and Dependency/Constraint-Aware AI for Digital Manufacturing

Tackling grand challenges via data-driven digital manufacturing.

Dimitrios Georgakopoulos and Prem Prakash Jayaraman

Architecture and Hardware

two pieces of matching equipment, illustration

Jul 1 2023

Building and Nurturing AI Development in Vietnam

VinAI Research aims to embrace the challenge of making Vietnam a competitive player on the world stage in cutting-edge AI R&D by laying the groundwork for innovation and growth for the region.

Artificial Intelligence and Machine Learning

World map with a magnifying glass encircling Vietnam, illustration

Jul 1 2023

DIAS–Earth Environment Data Integration and Analysis System

The DIAS platform manages Earth environmental data to make it available to researchers across a range of fields.

Eiji Ikoma and Masaru Kitsuregawa

Computing Applications

colorful digital landscape, illustration

Jul 1 2023

Learning and Evidence Analytics Framework Bridges Research and Practice for Educational Data Science

The LEAF integrated technology framework developed at Kyoto University can be linked to any existing learning management systems in different institutions.

Hiroaki Ogata, Rwitajit Majumdar, and Brendan Flanagan

Computing Applications

male and female students look at a computer display

Jul 1 2023

Operationalizing Responsible AI at Scale: CSIRO Data61’s Pattern-Oriented Responsible AI Engineering Approach

Identifying five major challenges in operationalizing responsible AI at scale.

Artificial Intelligence and Machine Learning

figures constructing robots with various images and shapes, illustration

Jul 1 2023

The Future of Blockchain Consensus

The Redbelly path to making blockchain consensus truly scalable.

Vincent Gramoli and Qiang Tang

Artificial Intelligence and Machine Learning

ine-connected green blocks, illustration

Jul 1 2023

CLOSET: Data-Driven COI Detection and Management in Peer-Review Venues

CLOSET is a data-driven system designed and developed at Nanyang Technological University for detecting and reporting unreported conflicts of interest and violations in a peer-reviewed venue.

Sourav S. Bhowmick

Computing Applications

geometric shapes and figures on a grid, illustration

Jul 1 2023

The Veracity Grand Challenge in Computing: A Perspective from Aotearoa New Zealand

The Veracity Project is investigating challenges related to trust and truth in the context of digital technologies.

Markus Luczak-Roesch, Matthias Galster, and Kevin Shedlock

Computing Applications

silhouetted figure in front of a lighted V on a black background, illustration

Jun 1 2023

The Silent (R)evolution of SAT

Today's powerful, robust SAT solvers have become primary tools for solving hard computational problems.

Johannes K. Fichte, Daniel Le Berre, Markus Hecher, and Stefan Szeider

Architecture and Hardware

Jun 1 2023

Buffer-Bloated Router? How to Prevent It and Improve Performance

Home broadband routers suffering bufferbloat can degrade the user experience when accessing the Internet.

Philippa Harrison

Architecture and Hardware

router switch and binary streams, illustration

Jun 1 2023

Should Robots Have Rights or Rites?

A Confucian cross-cultural exploration of the ethical treatment of robots.

Tae Wan Kim and Alan Strudler

Architecture and Hardware

robotic hand and two four-pointed white stars

Jun 1 2023

On the Implicit Bias in Deep-Learning Algorithms

Examining the implicit bias in training neural networks using gradient-based methods.

Gal Vardi

Architecture and Hardware

red ball embedded in a nest of patterned lines, illustration

Jun 1 2023

Still Networking

Bob Metcalfe, who co-invented Ethernet networking technology, continues to take on new challenges as a computational engineer.

Leah Hoffmann

Architecture and Hardware

Bob Metcalfe, 2022 ACM A.M. Turing Award recipient

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

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