South Korea’s Nationwide Effort for AI Semiconductor Industry
Recent nationwide efforts taking place in South Korea challenge the emerging AI semiconductor industry.
Artificial Intelligence and Machine Learning
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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.
Identifying five major challenges in operationalizing responsible AI at scale.
The Future of Blockchain Consensus
The Redbelly path to making blockchain consensus truly scalable.
ChatGPT Invents a Lot of Nonsense
I asked ChatGPT who wrote the book "Meilensteine der Rechentechnik." The program returns many different answers, all wrong.
ChatGPT is giving educators headaches and forcing them to reinvent how classrooms work.
Two Models of AI Oversight — and How Things Could Go Deeply Wrong
It's good that governments are stepping up, but some of the signals are deeply worrisome.
ChatGPT is Not a Technological Singularity
It will take many years before generative artificial intelligence has a measurable effect on the economy as a whole.
What Does AI-Powered Microsoft Bing Say?
The answers from the AI-powered Microsoft Bing are often useless.
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.
Doug Meil identifies the development behaviors that offer the highest chance of success for enterprise artificial intelligence efforts.
Using Algorithms to Deliver Disaster Aid
Ensuring the billions of dollars governments send the disaster-stricken actually get to their intended destinations.
Can Generative AI Bots Be Trusted?
It will be a long road to learning how to use generative AI wisely.
Conjoined Twins: Artificial Intelligence and the Invention of Computer Science
How artificial intelligence and computer science grew up together.
Adding artificial intelligence to search engines enables enhanced Search Engine Optimization and Marketing.
How Did Scientists Succumb to Aunt Edna? The Dangers of a Superintelligent AI is Fiction
Speaking of the existential threat of AI is science fiction, and bad science fiction for that matter because it is not based on anything we know about science, logic, and nothing we even know about ourselves.
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.
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