Service providers must optimize three compression variables simultaneously: video quality, bitrate efficiency/processing power and latency ...

Abstract: This paper proposed a satellite remote sensing image compression algorithm based on neural network architecture evolution, the method includes a neural network automatic evolution method, a ...

zlib provides the deflate compression algorithm. The TurboQuant pipeline concludes with zlib compression to eliminate redundancy in the quantized coefficient matrix. The library's proven stability and ...

Forbes contributors publish independent expert analyses and insights. Tim Bajarin covers the tech industry’s impact on PC and CE markets. This voice experience is generated by AI. Learn more. This ...

Google developed a new compression algorithm that will reduce the memory needed for AI models. If this breakthrough performs as advertised, it could drastically reduce the amount of memory chips ...

Micron Technology (MU) shares fell to $339 Monday as fears over Alphabet’s (GOOGL) TurboQuant AI memory-compression algorithm raised concerns about long-term demand for high-bandwidth memory across ...

Alphabet's new compression algorithm could give the company another big cost advantage. The company's custom chips already give it an edge in this area. Alphabet's latest AI announcement, meanwhile, ...

Abstract: The longest match strategy in LZ77, a major bottleneck in the compression process, is accelerated in enhanced algorithms such as LZ4 and ZSTD by using a hash table. However, it may results ...

Google has introduced TurboQuant, a compression algorithm that reduces large language model (LLM) memory usage by at least 6x while boosting performance, targeting one of AI's most persistent ...

Lam Research (LRCX) delivered a 321% total return over three years by dominating AI chip production through etch and deposition tools for high-bandwidth memory and advanced logic, with advanced ...

Google has unveiled TurboQuant, a new AI compression algorithm that can reduce the RAM requirements for large language models by 6x. By optimizing how AI stores data through a method called ...