Abstract: Electric location-routing problem is a challenging problem consisting of the optimization of electric vehicle routing and charging facility location, simultaneously. Existing algorithms ...

Abstract: This article proposes a surrogate-assisted evolutionary framework (called SELF) to solve expensive multitask optimization problems (ExMTOPs). SELF consists of two main phases: 1) global ...

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

A deep reinforcement learning framework optimizes silicon-based photonic crystal fiber modulators, achieving ultra-low ...

Retiring at 60 with $2.3 million sounds like financial independence. The five-year gap before government benefits kick in, ...

AlzeCure licensed NeuroRestore ACD856 to QuantumCell in a deal worth over $2.2B. The real story is not proof, but Alzheimer’s ...

UBS analysts say their conversations this month have reaffirmed their view of a modest "emerging headwind" for AI model ...

By registering the LongCat-2.0 repository under the open-source MIT License, Meituan positions the architecture with maximum ...

Recent industry announcements highlight a shift towards integrated, scalable cooling solutions driven by AI and HPC demands.

As enterprises race to scale AI, the biggest obstacle to performance and ROI may be the infrastructure moving data, not the hardware processing it. Enterprise AI has entered a new phase. For the past ...

At the recent Data Center World 2026 in Washington, D.C., one message came through louder than ever: AI infrastructure is ...

For the past two years, the conversation around AI has focused on deployment. The next phase will focus on control.