VOT Challenge: Computer Vision Competition
VOT Challenge is one of the outstanding competitions in computer vision. At the end of this important event this year, I would like to share my opinions about this competition.
Theory
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Looking for truth, when "it's becoming surprisingly easy to distort reality."
Learning to Live with Privacy-Preserving Analytics
Seeking to close the gap between research and real-world applications of PPAs.
Lost in Afghanistan: Can the World Take ICT4D Seriously?
Seeking to maximize the value of information and communication technologies for development research.
Opportunity Cost and Missed Chances in Optimizing Cybersecurity
The loss of potential gain from other alternatives when one alternative is chosen.
Theoretical Analysis of Sequencing Bioinformatics Algorithms and Beyond
A case study reveals the theoretical analysis of algorithms is not always as helpful as standard dogma might suggest.
Fusing Creativity and Innovation in Asia’s Manufacturing Industry
The Kawahara Universal Information Network Project explores the technologies needed for the next generation of the Internet of Things and HCI.
Technical Perspective: Opening the Door to SSD Algorithmics
The authors of "Offline and Online Algorithms for SSD Management" propose a more accurate theoretical model of flash-based SSDs that views each page as containing either valid data, invalid data, or no data.
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.
Activities of National Institute of Informatics in Japan
The National Institute of Informatics' activities in its research and service missions.
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.
South Korea’s Nationwide Effort for AI Semiconductor Industry
Recent nationwide efforts taking place in South Korea challenge the emerging AI semiconductor industry.
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.
The Future of Blockchain Consensus
The Redbelly path to making blockchain consensus truly scalable.
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.
Pen-Based Computing: Still Looking For The Write App
The sector, once popular, is searching for applications and users.
Early insights and opportunities of AI-powered pair-programming tools.
The Silent (R)evolution of SAT
Today's powerful, robust SAT solvers have become primary tools for solving hard computational problems.
On the Implicit Bias in Deep-Learning Algorithms
Examining the implicit bias in training neural networks using gradient-based methods.
Better Algorithms through Faster Math
The search for new algorithms that could reduce the time needed for multiplication is now at the center of data science.
Conjoined Twins: Artificial Intelligence and the Invention of Computer Science
How artificial intelligence and computer science grew up together.
Trust Is Not Enough: Accuracy, Error, Randomness, and Accountability in an Algorithmic Society
Searching for improved algorithmic accountability.
Shape the Future of Computing
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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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