This Git repo contains simplified source code for creating and testing our combined graph neural network and recurrent neural network used for decoding the surface code.

ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...

SAN FRANCISCO, Oct 24 (Reuters) - IBM (IBM.N), opens new tab said on Friday it can run a key quantum computing error correction algorithm on commonly available chips ...

Bring deep expertise in hardware design, parallel computing and video solutions. Email: umanulua@gmail.com More than 10 years have passed since I wrote my last post on the topic of developing an H.264 ...

Explore how speculative decoding techniques, including EAGLE-3, reduce latency and enhance efficiency in AI inference, optimizing large language model performance on NVIDIA GPUs. As the demand for ...

I recently read about a new speculative decoding algorithm developed by Intel Labs and the Weizmann Institute, which reportedly improves inference speed by up to 2.8×, even when using draft and target ...

Speculative decoding was quickly adopted by tech giants because it maintains 100% accuracy—unlike most acceleration techniques, which reduce output quality. But it had one big limitation: Both models ...