Healthcare organizations are under pressure to automate medical coding without compromising the security of protected health ...

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

Speculative decoding can help AI chatbots improve throughput and reduce hardware demand by using a smaller model to draft tokens that a larger model validates.

In late April I sat in a room in Oxford; a room I would not normally be in. Yet there I was, the CEO of a Somali organisation ...

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

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.

PixelSmash is a vulnerability in the FFmpeg framework that can be exploited via crafted media files for remote code execution ...

The U.S. Army awarded Continuous Composites a multi-year contract to evaluate continuous fiber 3D printing technology for ...

Understanding how deep learning models map neural population activity to stimuli requires both high predictive accuracy and interpretable internal mechanisms. In this work, we employ the POYO ...

A new technical paper, “Rethinking Compute Substrates for 3D-Stacked Near-Memory LLM Decoding: Microarchitecture-Scheduling Co-Design,” was published by researchers at University of Edinburgh, Peking ...

Abstract: Individual differences pose a significant challenge in brain-computer interface (BCI) research. Designing a universally applicable network architecture is impractical due to the variability ...