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Abstract: The distributed data infrastructure in Internet of Things (IoT) ecosystems requires efficient data-series compression methods, as well as the capability to meet different accuracy demands.

OpenZL delivers high compression ratios while preserving high speed, a level of performance that is out of reach for generic compressors. Check out the blog post and whitepaper for a breakdown of how ...

We often hear that “Who remembers the one who comes second?” The term ‘secondary’ is often associated with something less important, isn’t it? But today I tell you the importance of secondary in today ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

Wrapping up a multi-week series on Crafting Data Personas. What are they, why are they important, and how to get started. Continuing from last week, we’re diving right into examples of personas. I ...

AAV9-based Angelman Syndrome candidate, ETX201, demonstrates safety and target engagement in non-human primates (NHPs), with unsilencing of UBE3A across disease-relevant brain regions Multiple ...

People store large quantities of data in their electronic devices and transfer some of this data to others, whether for professional or personal reasons. Data compression methods are thus of the ...