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.

Lossy compression techniques reduce the size of large scientific datasets by selectively discarding or coarsening data elements that contribute least to the overall information content. Unlike ...

Beamr delivered 31% file size reduction compared to baseline encodes on footage from dSPACE RTMaps. Results to be demonstrated at dSPACE User Conference, April 21-22, Novi, Michigan Herzliya, Israel, ...

This repository offers a comprehensive collection of official resources, detailed guides, and reference materials for PowerArchiver on Windows PCs. Explore tutorials, feature documentation, and best ...

We have seen the future of AI via Large Language Models. And it's smaller than you think. That much was clear in 2025, when we first saw China's DeepSeek — a slimmer, lighter LLM that required way ...

FARGO — Data center developer Applied Digital is investing $75 million in power system upgrades in eastern North Dakota as it looks to expand into the western part of the state. Applied Digital will ...

MCUCoder is an open-source adaptive bitrate video compression model designed specifically for resource-constrained Internet of Things (IoT) devices. With a lightweight encoder requiring only 10.5K ...

In these politically divisive times, there’s one thing we all agree on—we don’t want a giant data center in our backyard. Behold, the hyperscale data center! Massive structures, with thousands of ...

A Data professional with over 4 years of experience building, managing and optimising large data infrastructure. A Data professional with over 4 years of experience building, managing and optimising ...

Abstract: Data compression is becoming critical for storing scientific data because many scientific applications need to store large amounts of data and post process this data for scientific discovery ...

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