Google’s TurboQuant Compression May Support Faster Inference, Same Accuracy on Less Capable Hardware
Google Research unveiled TurboQuant, a novel quantization algorithm that compresses large language models’ Key-Value caches ...
With the price of RAM getting out of control, it might be a good idea to remind Linux users to enable ZRAM so they can get ...
Abstract: Reversible data hiding in encrypted images (RDHEI) is an effective technology of protecting private data. In this paper, a high-capacity RDHEI method with asymmetric coding and bit-plane ...
Intel is developing a new technology that can significantly reduce the size of game textures, helping save storage space and ...
A convergence of DFT techniques and the proliferation of in-silicon monitors can flag potential failures before they occur.
Abstract: To address growing wireless data processing demands in telecommunications and radar sensors, heterogeneous multiprocessor systems-on-chip (MPSoC) integrating programmable processors and ...
We have seen the future of AI via Large Language Models. And it's smaller than you think. That much was clear in 2025, when we first saw China's DeepSeek — a slimmer, lighter LLM that required way ...
If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...
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