Data compression methods are thus of the utmost importance, as they can boost the efficiency of devices and communications, making users less reliant on cloud data services and external storage ...

DDT claimed that compared to LZ its method has a more simple data structure and algorithms, allowing for lower memory usage, simplicity of hardware implementation and predictability of compression ...

In creating an entirely new way to compress data, a team of researchers has drawn inspiration from physics and the arts. The result is a new data compression method that outperforms existing ...

Since data transfer often consumes more time than AI computation, there is a critical need for a data compression method that minimizes both data volume and communication time while preserving the ...

See lossless compression, archive, archive formats and capacity optimization. Lossless Methods (Dictionary and Statistical) The widely used dictionary method creates a list of repeatable phrases.

Approaches range from classical line‐simplification algorithms to advanced semantic compression methods that incorporate clustering and multi-resolution analysis.

Facebook’s app developers already employ a bunch of data compression techniques, but the company said these methods cannot keep up with the rate at which it adds new features and updates.

In the wave of digital transformation of smart factories, Wuxi Chengyi Intelligent Technology Co., Ltd. has recently applied for a patent titled "A Method for Large-Scale Data Storage and Analysis in ...

For the past five years, the cost of test has prevailed as the hottest topic in test. During this period, automated test equipment (ATE) has made a dramatic move towards low-cost design for test (DFT) ...

The result is a new data compression method that outperforms existing techniques, such as JPEG for images, and that could eventually be adopted for medical, scientific and video streaming ...

For instance, work conducted in 2021 introduced a trajectory segmentation method that leverages stop features to partition and simplify movement data while improving semantic accuracy [1].