Communications of the ACM
Cybercriminals Eye Biometrics
Biometric markers are increasingly popular targets of data theft, potentially endangering far more than your locally stored information… From ACM NewsAn edited collection of advanced computing news from Communications of the ACM, ACM TechNews, other ACM resources, and news sites around the Web.
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How Millions of Russians are Tearing Holes in the Digital Iron Curtain
A tremendous surge in VPN downloads represents a challenge to Putin and his version of the Ukraine war.
From ACM TechNews
Mission to Monitor Migrating Monarchs
University of Pittsburgh researchers have developed a tracking system to monitor the migration of monarch butterflies to specific mountain peaks in central Mexico...
From ACM TechNews
Interactive Tools May Help People Become Big Data Journalists
Researchers say people could use interactive tools to navigate, save, and tailor online content to extract meaning from big data.
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Swarming Drones Autonomously Navigate Dense Forest, Chase Human
Researchers in China demonstrated the ability of an autonomous flying drone swarm to navigate a thick forest it had never before encountered.
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Engineers Use AI to Capture Complexity of Breaking Waves
An international research team lleveraged machine learning to model how waves break, which could help improve the design of offshore structures and climate prediction...
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Machine Learning Can Help Address Stigma of Substance Abuse in Developing Countries
Researchers used machine learning and anonymized data to better understand drug and alcohol abuse in developing countries.
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Comparing AI Reasoning with Human Thinking
Researchers have developed a method for comparing the reasoning of artificial intelligence software with that of human thinking, to better understand the AI's decision...
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Which Animal Viruses Could Infect People? Computers Are Racing to Find Out
Machine learning is known for its ability to spot fraudulent credit charges or recognize faces. Now researchers are siccing the technology on viruses.
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Deep Learning Techniques Lead to Materials Imaging Breakthrough
Researchers have created two new deep learning methods.
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Biden DHS Creates New Board to Police 'Disinformation'
The U.S. Department of Homeland Security is starting a new office, the Disinformation Governance Board, that will focus on countering "misinformation" and "disinformation...
From ACM TechNews
China's Weibo Shows User Locations to Combat 'Bad Behavior'
Chinese social media application Weibo will publish users' Internet Protocol addresses on their account pages and when they post comments, in order to rein in...
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Researchers Monitor Subsurface CO2 Storage
Texas A&M University researchers demonstrated that unsupervised machine learning algorithms could analyze data from a geological carbon sequestration site to determine...
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Google Forces Developers to Explain Data Collection
Developers can begin declaring how they use collected data, with a deadline of July 20 to complete their submissions.
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Facebook Doesn’t Know What It Does With Your Data, Or Where It Goes: Leaked Document
"We do not have an adequate level of control and explainability over how our systems use data," Facebook engineers say in leaked document.
From ACM TechNews
Researchers Use ML to Speed Up Counting of Microplastics
Researchers have proposed a new machine learning method to accelerate the counting and classification of microplastics, while also boosting affordability and ease...
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New Approaches to Biometric Security
The latest biometric security methods place a priority on contactless identification.
From ACM TechNews
Ukraine Sounds Alarm on Chinese Drones, Opening Skies to U.S. Startups
Hundreds of small drones from U.S. startups are searching for survivors and Russian hideouts in Ukraine, after Ukrainian government officials cited Chinese drones...
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House-Flipping Algorithms are Coming to Your Neighborhood
Despite millions of dollars in losses, iBuying's failure doesn't signal the end of tech-led disruption, just a fumbled beginning.
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Estimating the Informativeness of Data
MIT researchers can now estimate how much information data are likely to contain, in a more accurate and scalable way than previous methods.
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