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.

Newest Design Household waste bin manufacturer vs. Conventional Design Suppliers

JIANGMEN, GUANGDONG, CHINA, January 26, 2026 /EINPresswire.com/ -- As household product markets adapt to modern living, ...

Google’s January 2026 ‘Personal Intelligence’ Update Validates Jason Barnard’s Algorithmic Trinity Framework

Digital strategist who coined 'Answer Engine Optimization' says SEO and GEO each address only one-third of how AI ...
BioProcess International

Doing More with Less: Multifidelity Optimization in the Biopharmaceutical Industry

Multifidelity optimization can inform decision-making during process development and reduce the number of experiments performed.
IEEE

A Multi-Objective Antenna Optimization Method Based on the Surrogate Model-Assisted Deep Reinforcement Learning

Abstract: A novel multi-objective antenna optimization method based on the surrogate model-assisted deep reinforcement learning (SADRL) is proposed. The method is divided into three stages: coarse ...
Scientific Research Publishing

Multi-Objective Evolutionary Optimization for Qujing’s Cultural-Tourism Routes ()

School of Information Engineering, Qujing Normal University, Qujing, China. Tourism development in emerging destinations requires balancing economic benefits with ecological sustainability. In this ...
IEEE

Multi-Objective Optimization Design of an Axial-Flux Permanent Magnet Flywheel Machine Using Fuzzy Inference Taguchi Method

Abstract: The Taguchi method is an efficient method for machine optimization design. Unfortunately, the conventional Taguchi method is hard to obtain a complete set of nondominated solutions due to ...