The rapid expansion of data volumes in modern applications has intensified the need for efficient methods of storing and retrieving information. Contemporary research in data compression focuses on ...

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 ...

Tether’s TurboQuant enables useful and powerful local AI applications on consumer devices at much lower costs and without ...

Large Language Models (LLMs), often recognized as AI systems trained on vast amounts of data to efficiently predict the next part of a word, are now being viewed from a different perspective. A recent ...

Efficient data compression and transmission are crucial in space missions due to restricted resources, such as bandwidth and storage capacity. This requires efficient data-compression methods that ...

Researchers from the Yunnan Observatories of the Chinese Academy of Sciences and Southwest Forestry University have developed an advanced neural network-based method to improve the compression of ...

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, ...

Researchers led by Takaki Hatsui at the RIKEN SPring-8 Center (RSC) in Japan and collaborators have developed a new approach ...

Data compression is one the most reliable and cost effective ways to squeeze more bandwidth out of your WANs. According to our Special Focus author Tim Greene (tgreene@nww.com) makers of specialty ...

If you were a kid in the 80s, or are a fan of retro video games, then you must know Frogger. The game can be quite a challenge. To win, you must first survive a stream of heavy traffic, only to then ...