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.
Unite.AI

Decoupling Weights for Scale: The Strategic Guide to Multi-Adapter AI Orchestration

As Enterprise AI matures from experimental chatbots to production-grade Agentic workflows, a silent infrastructure crisis is the VRAM bottleneck. Deploying a dedicated endpoint for every fine-tuned ...

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 ...
IEEE

Bilevel Evolutionary Multi-objective Algorithm with Multiple Lower-level Search Modes

Abstract: In bilevel optimization, the upper-level optimization problem (ULOP) requires to be solved under the constraint of the inner lower-level optimization problem (LLOP). However, it is ...
IEEE

Multi-Objective Optimization Scheduling of Integrated Energy System Based on Operational Characteristics Clustering

Abstract: In order to improve the rationality of integrated energy system (IES) scheduling strategy and promote carbon reduction planning, this paper proposes a multi-objective optimization scheduling ...