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 ...

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 ...

Most existing data compression methods in modern AI systems rely on the principle of elimination. They try to assess the importance of information to get rid of the unnecessary. But for autonomous AI ...

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) ...

There are two categories of data compression. The first reduces the size of a single file to save storage space and transmit faster. The second is for storage and transmission convenience. The JPEG ...

Images transmitted over the world wide web are an excellent example of why data compression is important. Suppose we need to download a digitized color photograph over a computer's 33.6 kbps modem. If ...

Huawei claims backup compression ratios reaching an extraordinary 90:1 level Patented algorithms sit at the centre of Huawei's reduction strategy Four separate reduction stages shrink data before long ...

ZeroPoint Technologies AB, a startup with hardware that enables processors to make more efficient use of DRAM, has secured $5.5 million in early-stage funding. The company said in its announcement of ...