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.
Research and Advances
Advertisement
Challenges in Designing Blockchain for Cyber-Physical Systems
Tackling scalability, trust, and privacy.
Principles and Practices of Real-Time Feature Computing Platforms for ML
The design principles and practices of tackling the challenges of realtime feature computing.
Digital Twins and Dependency/Constraint-Aware AI for Digital Manufacturing
Tackling grand challenges via data-driven digital manufacturing.
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.
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.
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.
Identifying five major challenges in operationalizing responsible AI at scale.
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.
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.
The Silent (R)evolution of SAT
Today's powerful, robust SAT solvers have become primary tools for solving hard computational problems.
Buffer-Bloated Router? How to Prevent It and Improve Performance
Home broadband routers suffering bufferbloat can degrade the user experience when accessing the Internet.
Should Robots Have Rights or Rites?
A Confucian cross-cultural exploration of the ethical treatment of robots.
On the Implicit Bias in Deep-Learning Algorithms
Examining the implicit bias in training neural networks using gradient-based methods.
Bob Metcalfe, who co-invented Ethernet networking technology, continues to take on new challenges as a computational engineer.
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 […]
Disentangling Hype from Practicality: On Realistically Achieving Quantum Advantage
What are the promising applications to realize quantum advantage?
Unlocking the Potential of Fully Homomorphic Encryption
Exploring the transformational potential of FHE and the path toward adoption of its "stack."
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.
From Code Complexity Metrics to Program Comprehension
Understanding code depends not only on the code but also on the brain.
Protecting Autonomous Cars from Phantom Attacks
Enabling object detectors to better distinguish between real and fake objects in semi-autonomous and fully autonomous vehicles.
Eight Reasons to Prioritize Brain-Computer Interface Cybersecurity
Defining and analyzing the impact of cyberattacks on novel generations of BCIs.
A new generation of automatic theorem provers eliminate bugs in software and mathematics.
Shape the Future of Computing
ACM encourages its members to take a direct hand in shaping the future of the association. There are more ways than ever to get involved.
Get InvolvedCommunications of the ACM (CACM) is now a fully Open Access publication.
By opening CACM to the world, we hope to increase engagement among the broader computer science community and encourage non-members to discover the rich resources ACM has to offer.
Learn More