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 ...

Everton 0 Man United 1: Sub Sesko scores again as Carrick run continues

Benjamin Sesko came off the bench to score another winner as Manchester United beat Everton to strengthen their claims for Champions League football next season. The Slovenian for ...

Bringing quantum ideas to the messy world of disordered proteins

Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...

Content scoring tools work, but only for the first gate in Google’s pipeline

Google’s first-stage retrieval still runs on word matching, not AI magic. Here’s how to use content scoring tools accordingly ...

How Pep Guardiola has adapted Manchester City’s attack to thrive without wingers

Manchester City are hunting down Arsenal and they are doing it without wingers who have been so important to Guardiola ...
Scientific American

‘An AlphaFold 4’—scientists marvel at DeepMind drug spin-off’s exclusive new AI

Isomorphic Lab’s proprietary drug-discovery model is a major advance, but scientists developing open-source tools are left ...
TMCnet

Rail Vision: Quantum Transportation Unveils Transformer Neural Decoder That Outperforms Classical QEC Algorithms in Simulations

Ra’anana, Israel, Feb. 05, 2026 (GLOBE NEWSWIRE) -- Rail Vision Ltd. (Nasdaq: RVSN) (“Rail Vision” or the “Company”), an early commercialization stage technology company seeking to revolutionize ...
Business Insider

Rail Vision: Quantum Transportation Unveils Transformer Neural Decoder That Outperforms Classical QEC Algorithms in Simulations

Simulation results show enhanced logical error suppression and real-time decoding potential Ra’anana, Israel, Feb. 05, 2026 (GLOBE NEWSWIRE) -- Rail Vision Ltd ...
IEEE

Encoding and Decoding of Reed–Muller Codes With Quasi-Linear Complexity

Abstract: Encoding and decoding of Reed-Muller codes have been a major research topic in coding and theoretical computer science communities. Despite of the fact that there have been numerous encoding ...
IEEE

A Weakly-Hybrid Decoding Algorithm for Staircase Codes via Multi-Level Bit Marking

Abstract: Reducing the complexity of soft-decision (SD) decoding algorithm or improving the performance of hard-decision (HD) decoding algorithm becomes an emerging ...