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New memory structure helps AI models think longer and faster without using more power
Researchers from the University of Edinburgh and NVIDIA have introduced a new method that helps large language models reason ...
Forward-looking: It's no secret that generative AI demands staggering computational power and memory bandwidth, making it a costly endeavor that only the wealthiest players can afford to compete in.
A technical paper titled “HMComp: Extending Near-Memory Capacity using Compression in Hybrid Memory” was published by researchers at Chalmers University of Technology and ZeroPoint Technologies.
Video compression has become an essential technology to meet the burgeoning demand for high‐resolution content while maintaining manageable file sizes and transmission speeds. Recent advances in ...
This method will allow for higher compression ratios and is useful if the lost data has minimal effect on the decompressed output. Typical applications for lossy compression include audio and video ...
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