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

Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...

In next-generation silicon, AI can interpret system behavior at scale, but only if observability is designed into the fabric ...

Discover how the best route optimization software improves driver performance, reduces costs, boosts fleet efficiency, and ...

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, announced that they are researching the use of neural ...

ICML 2026 opens in Seoul on July 6 with a record 23,918 submissions — more than double last year — and a research program ...

IP diligence comes in many forms—and in today’s environment, it demands more than ever before. Whether the context is a financing round, a strategic partnership, or a full acquisition, the ...

Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which optimization actually moved the needle.

In this work, we address a question that has attracted intense interest in recent years: whether machine learning-assisted algorithms can genuinely outperform classical approaches in challenging ...

Within the STRUCTURES Cluster of Excellence, two research teams at the Interdisciplinary Center for Scientific Computing (IWR) have refined a computing process, long held to be unreliable, such that ...

Abstract: dynamic multiobjective optimization (DMO) problems are prevalent in many practical applications and have garnered significant attention from both industry and academia, leading to the ...