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.
IEEE

Reliable Cloud Service Allocation based on Genetic Integration Under Multiple Parameters

Abstract: In the public domain, multiple cloud services are available to satisfy user requirements. However, the automated effective selection of these services becomes more critical when the load on ...
IEEE

Hybrid-Mode Distributed Fiber Sensing with Multiple Parameters Monitoring Ability

Abstract: This article discusses the integration of Brillouin optical time-domain analysis (BOTDA) and Phase-sensitive Optical Time Domain Reflectometry ($\Phi-\text{OTDR}$) for distributed optical ...
Seeking Alpha

AITX's RAD Receives Multiple RIO and SARA Expansion Order from Major Auction Operator

Follow On Order Builds on Initial Multi Site Deployment Announced in October The expanded deployment reflects how RAD customers typically scale after validating performance in live operating ...