InfoWorld

Multi-token prediction technique triples LLM inference speed without auxiliary draft models

With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.

Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
GitHub

A comprehensive codec implementation package for WebRTC applications, providing audio/video encoding and decoding capabilities.

RTP payload packetization/depacketization(H.264 and VP8) Dynamic bitrate control Frame timestamp management Hardware acceleration support Thread-optimized encoding ...
IEEE

O-Net: Bidirectional Encoding and Decoding Architecture for Infrared Small Target Detection

Abstract: Infrared small target detection (ISTD) faces significant challenges in effectively utilizing shallow and deep features while mitigating spatial detail degradation during sampling. To address ...
Phys.org

AI systems could identify math anxiety from student inputs and change feedback

Math anxiety is a significant challenge for students worldwide. While personalized support is widely recognized as the most effective way to address it, many teachers struggle to deliver this level of ...
IEEE

A Discrete Grey Wolf Optimizer with an Active-Decoding Strategy for Reconfigurable Manufacturing System Scheduling Problem

Abstract: Reconfigurable manufacturing systems offer enhanced flexibility to adapt to rapidly changing market demands. However, the reconfigurability of equipment introduces significant challenges to ...