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 ...
InfoQ

MongoDB Introduces Embedding and Reranking API on Atlas

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
IEEE

Robust and Invisible Flow Watermarking with Invertible Neural Network for Traffic Tracking

Abstract: This paper introduces an innovative blind flow watermarking framework on the basis of Invertible Neural Network (INN) called IFW, which aims to solve the problem of suboptimal ...
VentureBeat

Most RAG systems don’t understand sophisticated documents — they shred them

But for industries dependent on heavy engineering, the reality has been underwhelming. Engineers ask specific questions about infrastructure, and the bot hallucinates. The failure isn't in the LLM.
IEEE

BiFormer-Seg: Dual-Branch Visual Encoding and Text-Guided Decoding for Radiological Segmentation

Abstract: Accurate segmentation of pulmonary infection regions is critical for diagnosing respiratory diseases such as COVID-19 and pneumonia. Although recent deep learning approaches have achieved ...