Remove tag surveillance
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Luxury surveillance

FlowingData

Chris Gilliard, for The Atlantic, describes self-surveillance that people pay for in exchange for small conveniences at the expense of privacy : The conveniences promised by Amazon’s suite of products may seem divorced from this context: I am here to tell you that they’re not.

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0-days exploited by commercial surveillance vendor in Egypt

Hacker News

Last week Google’s Threat Analysis Group (TAG), in partnership with The Citizen Lab, discovered an in-the-wild 0-day exploit chain for iPhones. Developed by the commercial surveillance vendor, Intellexa, this exploit chain is used to install its Predator spyware surreptitiously onto a device.In and iOS 17.0.1

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Open cameras and AI to locate Instagram photos

FlowingData

Tags: AI , Dries Depoorter , Instagram , privacy , surveillance. Dries Depoorter recorded video from open cameras for a week and scraped Instagram photos. Then he used AI to identify the people in the photos and their locations. Depoorter calls it The Follower.

AI 91
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Understanding neural networks: A beginner’s guide

Data Science Dojo

Here are some key real-world applications: Facial recognition : Neural networks are used in facial recognition technologies, which are prevalent in security systems, smartphone unlocking, and social media for tagging photos.

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It’s time to shelve unused data

Dataconomy

Traditional data indexing methods often rely on manual tagging or basic keyword searches, which can be time-consuming and prone to errors. Provided by Bloomberg Professional Services, this integrated compliance and surveillance solution simplifies data archiving, collection, and aggregation.

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The Role of AI Technology in Tracing People

Smart Data Collective

While concerns about privacy and surveillance dominate many discussions, there is an undeniable power in how technology can help in tracing people, whether it’s for reconnecting with a long-lost friend, assisting in investigations, or ensuring safety.

AI 94
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A Comprehensive Guide to Data Labelling

Pickl AI

These are as follows: Labeled data generally has some predefined tags like name, type, or number. On the other hand, unlabelled data does not contain any tags. By providing labeled data, the model learns to identify different objects, enabling applications like self-driving cars, surveillance systems, and industrial automation.