Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

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

Large-scale recommendation systems are becoming harder to improve because they no longer operate as isolated models. Modern ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

While there have been many sober warnings about AI and recursive self-improvement, Arianna Huffington argues that it is a ...

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 ...

Abstract: Learning to optimize and automated algorithm design are attracting increasing attention, but it is still in its infancy in constrained multiobjective optimization evolutionary algorithms ...

Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...