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

Effective compression is about finding patterns to make data smaller without losing information. When an algorithm or model can accurately guess the next piece of data in a sequence, it shows it’s ...

The goal of digital compression algorithms is to produce a digital representation of an audio signal which, when decoded and reproduced, sounds the same as the original signal, while using a minimum ...

Microsoft is open-sourcing its cloud-compression algorithm and optimized hardware implementation for cloud storage. Microsoft is contributing that algorithm, known as ""=""> plus the associated ...

This paper discusses the hardware implementation of an encoder and a decoder for the QOI lossless RGB image format. Some results are given for the AMD/Xilinx architecture, reaching over 800 Mpixels/s ...

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...

Many of today's embedded systems are providing more sophisticated solutions to a wide variety of applications and industries. With this increase in sophistication, there is a corresponding increase in ...

Robo.ai launched a new (AIIO) visual data infrastructure platform through its Neurovia AI subsidiary, targeting growing demand for AI-native compression and edge computing technologies. Key Investor ...