DSpark can make decoding faster, but acceptance quality still determines how much speed the system actually realizes.

NVIDIA diffusion language model Nemotron TwoTower achieves 2.42x LLM inference throughput without a full retraining run, ...

From writing spreadsheet formulas to decoding product manuals, there’s no limit to the ways Google’s AI bot can help you out.

We commence by discussing classical syndrome decoding techniques that form the foundation for quantum error correction. Explicitly, they allow us to ascertain where ...

Abstract: Polar codes have recently been adopted as a coding scheme for fifth-generation wireless systems, owing to their excellent performance at short code lengths. In this letter, we propose a ...

Hardwood, the project Gunnar Morling kick-started handling of Parquet files in Java, reached version 1. Its multi-threaded approach and zero mandatory external dependencies promise a simpler, more ...

DeepSeek speculative decoding framework DSpark went live June 27 on V4-Flash and V4-Pro, reporting up to 85 percent faster ...

Deploying DFlash block diffusion on NVIDIA hardware accelerates autoregressive LLMs during latency-sensitive inference.

Z.ai’s GLM-5.2 is an open-source model aimed at long-context coding-agent workflows, with support for a one million-token ...